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  1. 13601

    Integrating Social Relationships and Personality into MAS-Based Group Recommendations by Ariel Monteserin, Daiana Elin Madsen, Daniela Godoy, Silvia Schiaffino

    Published 2024-12-01
    “…Recommender systems aim to predict the preferences of users and suggest items of interest to them in various domains. …”
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  2. 13602

    The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs by Yudai Kawakami, Makoto Sakai, Hiroaki Masuda, Masami Miyajima, Takao Kanzaki, Kazutoshi Kobayashi, Tatsuya Ohno, Hiroshi Sakurai

    Published 2024-01-01
    “…<italic>Introduction:</italic> While carbon ion radiotherapy is highly effective in cancer treatment, it has a high risk of causing soft error, which leads to malfunctions in cardiac implantable electrical devices (CIEDs). To predict the risk of malfunction prior to treatment, it is necessary to measure the reaction cross-sections and contributions to the soft error of secondary particles generated during treatments. …”
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  3. 13603

    Prognostic Value of Melanoma Inhibitory Activity Protein in Localized Cutaneous Malignant Melanoma by Angela Sandru, Eugenia Panaitescu, Silviu Voinea, Madalina Bolovan, Adina Stanciu, Sabin Cinca, Alexandru Blidaru

    Published 2014-01-01
    “…Cutaneous malignant melanoma (CMM) is a heterogeneous disease, acknowledged for its lack of predictability regarding clinical evolution. In order to appreciate a patient’s individual prognosis, an attempt is made to find new tumor markers that parallel the disease progression. …”
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  4. 13604

    Performance of the Cold-Bending Channel-Angle Buckling-Restrained Brace under Cyclic Loading by Kun Wang, Junwu Xia, Xiaomiao Chen, Bo Xu, Xiangzhou Liang, Jian Wang

    Published 2019-01-01
    “…A Ramberg–Osgood model and two model parameters were calibrated to predict, with fidelity, the skeleton curve of CCA-BRB under cyclic load. …”
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  5. 13605

    Modes-of-Action Related to Repeated Dose Toxicity: Tissue-Specific Biological Roles of PPARγ Ligand-Dependent Dysregulation in Nonalcoholic Fatty Liver Disease by Merilin Al Sharif, Petko Alov, Vessela Vitcheva, Ilza Pajeva, Ivanka Tsakovska

    Published 2014-01-01
    “…Comprehensive understanding of the precise mode of action/adverse outcome pathway (MoA/AOP) of chemicals becomes a key step towards superseding the current repeated dose toxicity testing methodology with new generation predictive toxicology tools. The description and characterization of the toxicological MoA leading to non-alcoholic fatty liver disease (NAFLD) are of specific interest, due to its increasing incidence in the modern society. …”
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  6. 13606

    Low CD4/CD8 Ratio in Bronchus-Associated Lymphoid Tissue Is Associated with Lung Allograft Rejection by K. V. Shenoy, C. Solomides, F. Cordova, T. J. Rogers, D. Ciccolella, G. J. Criner

    Published 2012-01-01
    “…The immunohistochemical composition of BALT may predict patients prone to frequent episodes of acute cellular rejection.…”
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  7. 13607

    A localized tracing technique to explore intra-amygdala functional and structural correlates of individual variability in behavioral response by Allie Lipshutz, Allie Lipshutz, Victoria Saltz, Victoria Saltz, Victoria Saltz, Kristin R. Anderson, Kristin R. Anderson, Alessia Manganaro, Alessia Manganaro, Dani Dumitriu, Dani Dumitriu, Dani Dumitriu

    Published 2025-01-01
    “…Specifically, we combine a retrograde transsynaptic rabies tracing system with cFos colocalization immediately after an acute stressor to elucidate local structural and stress-activated connectivity within the amygdala complex in female and male mice.Results and discussionWe show how specific structural and functional connections can predict individual variability along a spectrum of social approach/avoidance following acute social defeat stress. …”
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  8. 13608

    Reasons for living and depressive symptomatology in young adults with and without suicide attempts: a moderated mediation approach by Marta Brás, Marta Brás, Marta Brás, Cátia Martins, Cátia Martins, Cátia Martins, Cristina Nunes, Cristina Nunes, Cristina Nunes, Saul Neves Jesus, Saul Neves Jesus, Saul Neves Jesus, Ana Rita Madeira, Cláudia Carmo, Cláudia Carmo, Cláudia Carmo

    Published 2025-01-01
    “…Higher levels of depressive symptomatology predict lower levels of reasons for living. Mediation and moderation relations were assessed in a model and the history of suicide attempts showed a relevant role.ConclusionsThe evidence found in this study reinforce that reasons for living may play a preponderant role in suicidal ideation, that is as a negative mediator and therefore it can act as a protective factor.…”
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  9. 13609

    Production of Nanofibers Composed of CuO for the Removal of Pb(II) from Aqueous Solutions by Amábile Giotto dos Santos, Thiago Rodrigues Martins, Satheesh Krishnamurthy, Daniel Assumpção Bertuol, Eduardo Hiromitsu Tanabe

    Published 2025-01-01
    “…Satisfactory Pb (II) adsorption was reached at 298 K, pH 5.8, and a maximum adsorption of 151.34 mg g<sup>−1</sup> was achieved, predicted by the Hill model. The kinetic data proved that Pb (II) adsorption better fitted the pseudo-second-order model, while the Hill model was confirmed to best fit the equilibrium data. …”
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  10. 13610

    Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

    Published 2025-01-01
    “…The results indicated that CNN-based predictions of rock mechanical parameters had good applicability for coal-bearing layers. …”
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  11. 13611

    Evaluation of Serum Vascular Adhesion Protein-1 as a Potential Biomarker in Thyroid Cancer by Zhigang Hu, Pengxin Zhao, Kaili Zhang, Leilei Zang, Haiying Liao, Weiyuan Ma

    Published 2016-01-01
    “…The aim of this study was to evaluate the changes and the predictive value of serum VAP-1 in patients with thyroid cancer. …”
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  12. 13612

    Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition by Anubha Sehgal, Shipra Saini, Hemkant Nehete, Kunal Kranti Das, Sourajeet Roy, Brajesh Kumar Kaushik

    Published 2024-01-01
    “…Machine learning (ML) approaches present an effective technique for accurately and efficiently predicting device parameters. Using these techniques, we introduce a multi-task convolutional neural network (CNN) model and support vector regression (SVR) model that is intended to precisely estimate two important parameters of magnetic systems such as the Dzyaloshinskii-Moriya interaction (DMI) constant and the exchange constant (A<sub>ex</sub>). …”
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  13. 13613

    Effects of Different Water Seasons on the Residual Characteristics and Ecological Risk of Polycyclic Aromatic Hydrocarbons in Sediments from Changdang Lake, China by Javid Hussain, Zhenhua Zhao, Yong Pang, Liling Xia, Ittehad Hussain, Xin Jiang

    Published 2016-01-01
    “…Redundancy analysis was applied to identify the impact factors and the possible relationship between PAHs and environmental parameters. The predicted results showed that the main factors impacting PAHs temporal distribution were temperature, dissolved oxygen, pH, and oxidation-reduction potential, while conductivity showed secondary impacts on the PAHs distribution. …”
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  14. 13614

    Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

    Published 2025-01-01
    “…This approach has recently been extended to incorporate quantum computational methods, making use of variational quantum learning models to predict potential energy surfaces and atomic forces from ab initio training data. …”
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  15. 13615

    Determinants of Weight Loss following Laparoscopic Sleeve Gastrectomy: The Role of Psychological Burden, Coping Style, and Motivation to Undergo Surgery by Andrea Figura, Anne Ahnis, Andreas Stengel, Tobias Hofmann, Ulf Elbelt, Jürgen Ordemann, Matthias Rose

    Published 2015-01-01
    “…An “active coping” style might be of predictive value for better weight loss outcomes in patients following LSG intervention.…”
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  16. 13616

    Influence of fused deposition modelling printing parameters on tablet disintegration times: a design of experiments study by Kreft Klemen, Stanić Tijana, Perhavec Petra, Dreu Rok, Lavrič Zoran

    Published 2023-09-01
    “…A statistical model with accurate fit (R2 = 0.928) and predictability (Q2 = 0.847) was created. In addition, only the infill pattern and layer height influenced both the uniformity of mass and uniformity of the disintegration time, which demonstrates the robustness of the printing process.…”
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  17. 13617
  18. 13618

    Climate change impacts on flood risks in the Abou Ali River Basin, Lebanon: A hydrological modeling approach by Fouadi AlZaatiti, Jalal Halwani, Mohamed R. Soliman

    Published 2025-03-01
    “…In contrast, BCCCSM2-MR predicts an 8 % increase in precipitation, under the same scenario. …”
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  19. 13619

    Physicochemical properties and drug likeness of hydroxycinnamic acids and their molecular docking with caffeine and amoxicillin: Potential anticancer drugs by Umer Sherefedin, Abebe Belay, Kusse Gudishe, Alemu Kebede, Alemayehu Getahun Kumela, Tesfaye Feyisa, Jebel Haji Mahamud, Shallo Fekadu

    Published 2025-01-01
    “…FA and p-CA also showed favorable pharmacokinetic properties, including high gastrointestinal absorption, low drug–drug interaction risks, and a predicted ability to permeate the blood–brain barrier. …”
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  20. 13620

    Severe Tuberculosis Requiring Intensive Care: A Descriptive Analysis by Raquel Pacheco Duro, Paulo Figueiredo Dias, Alcina Azevedo Ferreira, Sandra Margarida Xerinda, Carlos Lima Alves, António Carlos Sarmento, Lurdes Campos dos Santos

    Published 2017-01-01
    “…This study aims to describe the characteristics of tuberculosis (TB) patients requiring intensive care and to determine the in-hospital mortality and the associated predictive factors. Methods. Retrospective cohort study of all TB patients admitted to the ICU of the Infectious Diseases Department of Centro Hospitalar de São João (Porto, Portugal) between January 2007 and July 2014. …”
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