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  1. 841

    Conservation communautaire et changement de statuts du bonobo dans le Territoire de Bolobo by Victor Narat, Flora Pennec, Sabrina Krief, Jean Christophe Bokika Ngawolo, Richard Dumez

    Published 2015-06-01
    “…There is a diverse range of community-based conservation projects, from a top-down process with projects initiated by national and international institutions to a bottom-up process based on trial and error. In every conservation project, new actors appear, new messages are spread, and each person takes these messages in their own way. …”
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  2. 842

    Comparison of subfoveal choroidal thickness in pre-eclamptic, healthy pregnant, and non-pregnant women by Aarshi Naharwal, Ramanuj Samanta, Ajai Agrawal, Latika Chawla, Amrita Gaurav, Sreeram Jayaraj

    Published 2025-01-01
    “…Females with refractive error beyond ±3 D, intraocular pressure >21 mmHg, prior ocular trauma or surgeries, systemic diseases, pregnancy-related complications (except PE), and poor OCT scans were excluded. …”
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  3. 843
  4. 844

    Multimodal Metabolomic Analysis Reveals Novel Metabolic Disturbances in Adults With Early Treated Phenylketonuria by Yann Dos Santos, Patrick Emond, Ida Vanessa Doederlein Schwartz, Antoine Lefèvre, Camille Dupuy, Gabrielle Chicheri, Hélène Blasco, François Maillot

    Published 2025-03-01
    “…ABSTRACT Phenylketonuria (PKU) is an inborn error of metabolism responsible for an accumulation of phenylalanine, which leads to cognitive and developmental disorders if left untreated. …”
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  5. 845

    Small amounts of misassembly can have disproportionate effects on pangenome-based metagenomic analyses by Stephanie N. Majernik, Larry Beaver, Patrick H. Bradley

    Published 2025-05-01
    “…While large-scale metagenomic assembly efforts have made pangenome estimates more complete, mixed communities can also introduce contamination into assemblies, and it is unknown how robust pangenome-based metagenomic analyses are to these errors. To gain insight into this problem, we re-analyzed a case-control study of the gut microbiome in cirrhosis, focusing on commensal Clostridia previously implicated in this disease. …”
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  6. 846

    Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting by Moiz Qureshi, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman, S. A. Atif Salar

    Published 2024-11-01
    “…Through comparison testing with training data sets consisting of 30%, 20%, and 10%, the present work demonstrated that the suggested hybrid model outperforms the individual approaches in terms of error metrics, such as the MAE, RMSE, MAPE, SMAPE, and direction accuracy, such as correlation and the MDA of BTC. …”
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  7. 847

    Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

    Published 2023-01-01
    “…The developed ANFIS architecture was simulated at varied membership functions, MFs, and epoch numbers to determine the minimum root mean square error, RMSE, and maximum R-squared R2 values. The one that fulfilled the conditions was considered to be the optimized model. …”
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  8. 848

    Exchange Rate and Inflation Dynamics: Asymmetric Effects in a NARDL Framework by Saša Obradović

    Published 2025-03-01
    “…Over the long term, inflation responds more strongly to currency depreciation than to appreciation. The Error Correction Mechanism’s coefficient is statistically significant at the 1% level, indicating a relatively fast adjustment from short-term disequilibrium to long-term equilibrium. …”
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  9. 849

    Integrating agency and resource dependency theories: the moderating effect of board size on the relationship between dividends and firm value in Malaysia by Mohd Ashari Bakri, Nurjeehan Ayub, Haneffa Muchlis Gazali

    Published 2024-03-01
    “…The results are valid even after calculating the robust standard error to mitigate the potential heteroskedasticity and serial correlation. …”
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  10. 850
  11. 851

    Association study between genetic variations in gene and lung cancer risk in North Indian population: A multiple interaction analysis by Charu Bahl, Siddharth Sharma, Navneet Singh, Digamber Behera

    Published 2017-04-01
    “…MDR analysis predicted a best interaction model ( Axin2 148, Axin2 2062 and Axin2 1712 +19 ) with maximum CVC (10/10) and minimum prediction error (0.38) along with significant permutation p -value. …”
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  12. 852

    MMS exposure promotes increased MtDNA mutagenesis in the presence of replication-defective disease-associated DNA polymerase γ variants. by Jeffrey D Stumpf, William C Copeland

    Published 2014-10-01
    “…A novel subset of C to G transversions was responsible for about half of the mutants arising after MMS exposure implicating error-prone bypass of methylated cytosines as the predominant mutational mechanism. …”
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  13. 853

    Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior. by David A Hillis, Liran Yadgary, George M Weinstock, Fernando Pardo-Manuel de Villena, Daniel Pomp, Theodore Garland

    Published 2024-01-01
    “…Simulations indicate that loss of statistical power due to random genetic drift and sampling error are insufficient to explain the differences in selection signatures. …”
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  14. 854

    Exploring the factors that promote or diminish a psychologically safe environment: a qualitative interview study with critical care staff by Stephen Brett, Eleanor Murray, Clare Leon-Villapalos, Kate Grailey

    Published 2021-08-01
    “…Team leaders can use these data to help foster a culture of openness, innovation and error prevention while minimising the risk of negative implications…”
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  15. 855
  16. 856

    Inverse modelling of New Zealand's carbon dioxide balance estimates a larger than expected carbon sink by B. Bukosa, S. Mikaloff-Fletcher, G. Brailsford, D. Smale, E. D. Keller, E. D. Keller, W. T. Baisden, M. U. F. Kirschbaum, D. L. Giltrap, L. Liáng, S. Moore, R. Moss, S. Nichol, J. Turnbull, A. Geddes, D. Kennett, D. Hidy, Z. Barcza, L. A. Schipper, A. M. Wall, S.-I. Nakaoka, H. Mukai, A. Brandon

    Published 2025-06-01
    “…The overall findings of this study are robust with respect to extensive tests to assess the potential biases in the inverse model due to transport error, prior biosphere, ocean and fossil fuel estimates, background CO<span class="inline-formula"><sub>2</sub></span>, and diurnal cycles. …”
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  17. 857

    Unlocking the therapeutic potential of unexplored phytocompounds as hepatoprotective agents through integration of network pharmacology and in-silico analysis by Pranali A. Jadhav, Asha B. Thomas, Mohsin K. Pathan, Somdatta Y. Chaudhari, Ravindra D. Wavhale, Sohan S. Chitlange

    Published 2025-03-01
    “…Our findings demonstrate the utility of this integrated approach which transits beyond traditional trial-and-error methods. This approach will accelerate the discovery of novel hepatoprotective compounds, providing deeper insights into their mechanistic pathways and action.…”
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  18. 858

    Cytotoxic mechanisms of pemetrexed and HDAC inhibition in non-small cell lung cancer cells involving ribonucleotides in DNA by Tobias Solli Iveland, Lars Hagen, Mirta Mittelstedt Leal de Sousa, Nina Beate Liabakk, Per Arne Aas, Animesh Sharma, Bodil Kavli, Geir Slupphaug

    Published 2025-01-01
    “…HDAC inhibition apparently exacerbates cytotoxicity of these agents by inhibiting error-free repair of misincorporated ribonucleotides in DNA. …”
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  19. 859

    Paediatric norms for photopic electroretinogram testing based on a large cohort of Chinese preschool children by Henry Ho-lung Chan, Sonia Seen-hang Chan, Kai Yip Choi

    Published 2024-05-01
    “…Cross-sectional investigations revealed associations between ERG, age, SER and AL, which were speculated to further implicate the role of retina in refractive error development.…”
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  20. 860

    Acute rhabdomyolysis by Pascale de Lonlay, Asmaa Mamoune, Yamina Hamel, Michel Bahuau, Sabrina Vergnaud, Moniqu Piraud, Lætitia Lallemand, Marie-Ange Nguyen More, Mai Thao Vio, Norma Beatriz Romero

    Published 2015-05-01
    “…The inherited causes are: metabolic with failure of energy production, including mitochondrial fatty acid ß-oxidation defects, LPIN1 mutations, inborn errors of glycogenolysis and glycolysis, more rarely mitochondrial respiratory chain deficiency, purine defects and peroxysomalα-Methylacyl-CoA-racemase defect (AMACR); dystrophinopathies and myopathies; calcic causes with RYR1 mutations; inflammatory with myositis. …”
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