Restoring natural killer cell activity in lung injury with 1,25-hydroxy vitamin D3: a promising therapeutic approach by Johnny Amer, Ahmad Salhab, Mohammad Abuawad

“…The bronchoalveolar lavage fluid (BALF) obtained was investigated for soluble receptor for advanced glycation end products (sRAGE), inflammatory cytokines, soluble 1,25(OH)2D, and PDL-1. Naïve mice treated with DMSO (vehicle) were used as a control.ResultsFlow cytometry analysis displayed a high apoptotic rate in alveolar I/II cells of threefold in ALI mice as compared to naïve mice. …”
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Bayesian Inference of Human-Made Hazards in Networks of Island Wetlands: The Case of the Aegean Archipelago by Cleo M. Gaganis, Andreas Y. Troumbis

“…The study employs power-law modeling to validate the natural size distribution of wetlands, naïve Bayesian inference to model human impacts, and the epsilon statistic to assess wetland sensitivity to specific pressures, addressing potential sampling biases. …”
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Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning by Lijun Qiao

“…The experimental results show that the classification model based on the weighted naive Bayes algorithm is reasonable and feasible for teaching evaluation. …”
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Assessment of retinal pigment epithelium tears in eyes with submacular hemorrhage secondary to age-related macular degeneration by Tomoko Ueda-Consolvo, Syogo Takahashi, Toshihiko Oiwake, Tomoko Nakamura, Masaaki Ishida, Shuichiro Yanagisawa, Atsushi Hayashi

“…An RPE tear which was smaller than 1DD and treatment-naïve condition were associated with better prognosis.…”
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Spermidine alleviates thymopoiesis defects and aging of the peripheral T-cell population in mice after radiation exposure by Kengo Yoshida, Zhenqiu Liu, Yoshiko Kubo, Masahiko Miura, Mika Yamaoka, Hiroko Nagamura, Munechika Misumi, Yoichiro Kusunoki

“…The number of conventional naïve CD4 and CD8 T cells in the peripheral blood decreased 14 months after irradiation whereas the number of virtual memory naïve T cells, which increased with age, further increased by irradiation. …”
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The challenges of independence: ontogeny of at-sea behaviour in a long-lived seabird by Delord, Karine, Weimerskirch, Henri, Barbraud, Christophe

“…Several hypotheses have been proposed to explain higher mortality including that of inadequate/inferior foraging skills compared to adults, young naïve individuals combining lack of experience and physical immaturity. …”
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Peripheral nerve injury induces dystonia-like movements and dysregulation in the energy metabolism: A multi-omics descriptive study in Thap1+/− mice by Colette Reinhold, Susanne Knorr, Rhonda L. McFleder, Lisa Harder-Rauschenberger, Tom Gräfenhan, Andreas Schlosser, Michael Sendtner, Jens Volkmann, Chi Wang Ip

“…Phenotypic analysis using an unbiased deep learning algorithm revealed that nerve-injured Thap1+/− mice exhibited significantly more dystonia like movements (DLM) over the course of the 12-week experiment compared to naive Thap1+/− mice. In contrast, nerve-injured wildtype (wt) mice only showed a significant increase in DLM compared to their naive counterpart during the first weeks after injury. …”
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Identifying Patient Characteristics Associated With Opioid Use to Inform Surgical Pain Management by Anish K. Agarwal, MD, MPH, MS, Ruiying Xiong, MS, Jeffrey Ebert, PhD, Fran Shofer, PhD, Evan Spencer, MS, Daniel Lee, MD, MS, Zarina Ali, MD, MS, M. Kit Delgado, MD, MS

“…In the adjusted model, younger age and being opioid naïve were associated with low to zero use across procedures. …”
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Impact of First- and Second-Generation Tyrosine Kinase Inhibitors on the Development of Graft-Versus-Host Disease in Individuals with Chronic Myeloid Leukemia: A Retrospective Anal... by Ugo Giordano, Agnieszka Piekarska, Witold Prejzner, Lidia Gil, Jan Maciej Zaucha, Joanna Kujawska, Zuzanna Dybko, Krzysztof Dudek, Sebastian Giebel, Jarosław Dybko

“…In the case of the 2G-TKI cohort, the number of low-grade aGvHD and cGvHD was significantly lower compared to the IMA and TKI-naïve groups (<i>p</i> = 0.018, <i>p</i> = 0.004; <i>p</i> < 0.001 versus TKI-naïve, respectively). …”
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Analyzing the customer purchase data of an online shopping store by data mining: A real case study in Iran by Nima Moradi, Mosayeb Jalilian

“…., Random Forest, gradient-boosted trees, K-Nearest Neighbor (KNN), Naïve Bayes, Kernel Naïve Bayes, and Neural Networks) and clustering approaches have been applied to discover the knowledge and patterns. …”
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Influences of aging and mating history in males on paternity success in the red flour beetle Tribolium castaneum. by Renya Kawakami, Kentarou Matsumura

“…In fact, naive old males exhibited significantly higher paternity success compared with old males who had previously mated. …”
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CD21low B cells reveal a unique glycosylation pattern with hypersialylation and hyperfucosylation by Peter Tobias Felixberger, Peter Tobias Felixberger, Geoffroy Andrieux, Andrea Maul-Pavicic, Andrea Maul-Pavicic, Sigune Goldacker, Sigune Goldacker, Ina Harder, Ina Harder, Sylvia Gutenberger, Sylvia Gutenberger, Jonathan J. M. Landry, Vladimir Benes, Till Fabian Jakob, Melanie Boerries, Melanie Boerries, Lars Nitschke, Reinhard Edmund Voll, Reinhard Edmund Voll, Klaus Warnatz, Klaus Warnatz, Baerbel Keller, Baerbel Keller

“…Additionally, we examined the expression of glycosylation-related genes by RNAseq in naïve-like CD21low B cells ex vivo, as well as in naïve CD21pos B cells from healthy controls after in vitro stimulation.ResultsUnlike CD21pos B cells, naïve-like CD21low B cells from CVID patients and CD21low B cells from healthy controls exhibited a unique glycosylation pattern with high levels of α2,6 sialic acids and fucose. …”
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The good, the better and the challenging: Insights into predicting high-growth firms using machine learning by Sermet Pekin, Aykut Şengül

“…Our findings indicate that XGBoost achieves the highest performance, followed by Random Forest and Logistic Regression, demonstrating their effectiveness in distinguishing between high-growth and non-high-growth firms. Conversely, KNN and Naive Bayes yield lower accuracy. Furthermore, our findings reveal that growth opportunity emerges as the most significant factor in our study. …”
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What’s in a name? Memory NK cells for cancer immunotherapy by William J Murphy, Robert J Canter, Sean J Judge, Megan C Purl

“…Yet, how closely the features of naïve and memory NK cells recapitulate those of T cells remains unclear. …”
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The concerted actions of microRNA-29a and interferon-β modulate complete Freund's adjuvant-induced inflammatory pain by regulating the expression of type 1 interferon receptor, int... by Chien-Cheng Liu, Kuo-Chuan Hung, Yu-Yu Li, Eagle Yi-Kung Huang, Chin-Chen Chu, Lok-Hi Chow, Ping-Heng Tan

“…Treatment with an miR-29a inhibitor alleviated CFA-induced mechanical allodynia and thermal hyperalgesia by Day 5 (P<0.001, n=9), concomitant with upregulation of IFNR1 and ISG15 expression, and downregulation of p-ERK (IFNR1; CFA 5 days + miR-29a inhibitor vs CFA 5 days; mean difference [95% CI]: 30.00 [20.31–39.69]; ISG15 conjugates; CFA 5 days + miR-29a inhibitor vs CFA 5 days, mean difference [95% CI]: 1.000 [0.9144–1.086]; free ISG15, mean difference [95% CI]: 2.402 [2.171–2.633]; p-ERK; CFA 5 days + miR-29a inhibitor vs CFA 5 days, mean difference [95% CI]: −32.00 [−34.10 to −29.90], P<0.001, n=9). Furthermore, in naïve rats, administration of an miR-29a mimic-induced mechanical allodynia, which was reversed by an ERK antagonist (P<0.001, n=6), associated with decreased IFNR1 and increased p-ERK expression (IFNR1; miR-29a mimic + dimethyl sulfoxide vs naïve; mean difference [95% CI]: −57.00 [−65.78 to −48.22]; miR-29a mimic + ASN007 vs naïve; mean difference [95% CI]: −60.00 [−71.00 to −49.00]. p-ERK; miR-29a mimic + dimethyl sulfoxide vs naïve, mean difference [95% CI]: 52.00 [47.01–56.99]; miR-29a mimic + ASN007 vs naïve, mean difference [95% CI]: 47.00 [42.51–51.49]; P<0.001, n=6). …”
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Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? by Thomas Coutrot, Loup Wolff

“…This paper intends a systematic comparison of the performances of the “naive” epidemiologic models, explaining the prevalence of health issues through existing characteristics of workers. …”
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Biological Effects of Culture Substrates on Human Pluripotent Stem Cells by Yohei Hayashi, Miho Kusuda Furue

“…Activation of integrin-linked kinase (ILK), which transmits ECM-integrin signaling to AKT (also known as protein kinase B), has been shown to be critical in maintaining hPSC self-renewal. Also, since naïve pluripotency has been widely recognized as an alternative pluripotent state of hPSCs, we discuss the possible effects of culture substrates and integrin signaling on naïve hPSCs based on the studies of mouse embryonic stem cells. …”
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Immune Dysregulation after Cardiothoracic Surgery and Incidental Thymectomy: Maintenance of Regulatory T Cells despite Impaired Thymopoiesis by Nancy J. Halnon, Paige Cooper, Diana Yu Hui Chen, M. Ines Boechat, Christel H. Uittenbogaart

“…Total Treg number and function were maintained but with fewer naïve Treg. TCR spectratypes were similar to other memory T cells. …”
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Target trial emulation to evaluate the effect of immune-related adverse events on outcomes in metastatic urothelial cancer by Renate Pichler, Josef Fritz, Sarah Maier, Melanie R. Hassler, Johanna Krauter, David D`Andrea, Ekaterina Laukhtina, Kilian Gust, Keiichiro Mori, Karl H. Tully, Dora Niedersuess-Beke, Lea Korber, Jasmin Alija Spiegelberg, Thomas Bauernhofer, José D. Subiela, Roman Mayr, Andreas Kronbichler, Marco Moschini, Jeremy Teoh, Benjamin Pradere, Shahrokh F. Shariat, Hanno Ulmer, Laura S. Mertens, European Association of Urology–Young Academic Urologists (EAU-YAU): Urothelial Carcinoma Working Group

“…Methods TTE was contrasted to adjusted naïve and time-updated Cox models. We performed a multi-institutional retrospective study involving mUC patients under ICI. …”
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Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets by Durr e Nayab, Rehan Ullah Khan, Ali Mustafa Qamar

“…The results show that the performance of Naïve Bayes, Bayes network, and voted perceptron is highly improved compared to the rest of the base classifiers, attaining accuracies as high as 94.74%, 97.78%, and 97.78%, respectively. …”
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