Genetic analysis of a serologically weak D phenotype caused by the p. R191G variant of the RHAG gene by ZHANG Xu, LI Xiaofeng, LI Jianping

“…The free energy change (△△G) value predicted it to have a destabilizing effect on the RhAG protein. …”
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Susceptibility modeling of hydro-morphological processes considered river topology by Nan Wang, Mingxiao Li, Hongyan Zhang, Weiming Cheng, Chao Du, Luigi Lombardo

“…Our findings highlight the importance of river topology in predicting HMP and support better informed hazard mitigation strategies.…”
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An Improved Scheme of Frequency-Dependent AVO Inversion Method and Its Application for Tight Gas Reservoirs by Jiong Liu, Jun-rui Ning, Xi-wu Liu, Chun-yuan Liu, Tian-sheng Chen

“…AVO inversion is a seismic exploration methodology used to predict the earth’s elastic parameters and thus rocks and fluid properties. …”
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A Polysomnographic Study of Parkinson’s Disease Sleep Architecture by Daniel Martinez-Ramirez, Sol De Jesus, Roger Walz, Amin Cervantes-Arriaga, Zhongxing Peng-Chen, Michael S. Okun, Vanessa Alatriste-Booth, Mayela Rodríguez-Violante

“…Sleep efficiency was predicted by amantadine usage and age, while sleep stage 1 was predicted by dopamine agonists and Hoehn & Yahr severity. …”
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Does Probability Guided Hysteroscopy Reduce Costs in Women Investigated for Postmenopausal Bleeding? by M. C. Breijer, N. van Hanegem, N. C. M. Visser, R. H. M. Verheijen, B. W. J. Mol, J. M. A. Pijnenborg, B. C. Opmeer, A. Timmermans

“…To evaluate whether a model to predict a failed endometrial biopsy in women with postmenopausal bleeding (PMB) and a thickened endometrium can reduce costs without compromising diagnostic accuracy. …”
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Chaotic behaviour of the Earth System in the Anthropocene by A.E. Bernardini, O. Bertolami, F. Francisco

“…Our final analysis includes interactions between different terms of the planetary boundaries (PB) in order to gauge the predictability of our model.…”
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A new micromechanical model of CNT-metal nanocomposites with random clustered distribution of CNTs by Chongyang Gao, Yu Lu, Y.T. Zhu

“…The strength values of a CNT/Al nanocomposite predicted by the new model are compared first with experimental data for validation. …”
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Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

“…Furthermore, we leverage Grad-CAM, and Feature Ablation, explainable AI techniques, to visualise the regions of interest guiding the model predictions for a target class. This integration enhances interpretability, allowing us to gain insights into the model decision-making process and build trust in its predictions.…”
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Distinguishing Smilax glabra and Smilax china rhizomes by flow-injection mass spectrometry combined with principal component analysis by Liang Jian, Zhou Meng, Li Lin-Yu, Shu Ji-Cheng, Liang Yong-Hong, Li Feng-Qin, Xiong Li, Huang Hui-Lian

“…Findings showed that the two kinds of samples perfectly fell into their own classes. Further predictive study showed desirable predictability and the tested samples were successfully and reliably identified. …”
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Crack growth study under thermo-mechanical loads: parametric analysis for 2024 T3 aluminum alloy by Salmi abdallah, Mohamed Elajrami, Mohamed El-Amine Slimani

“…Therefore, the study of these components' fatigue resistance in such conditions becomes essential to predict the service life and safety of the components.…”
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Protective factors contributing to the health status of construction industry migrant workers in Chinese mainland by Yuxiu Bai, Yingying Lin, Daokai Sun, Chuanjing Liao, Min Zhang, Rufang Ye

“…Education level had direct and indirect predictive effects via social support on social health. …”
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Predictors and lesion patterns of dysphagia and swallowing outcomes after acute intracerebral hemorrhage by Xiao Hu, Min Wang, Zijie Wang, Yanfang Xie, Mengqiu Zhang, Shanyu Zhang, Tiannan Yang, Chuanqin Fang, Libo Zhao, Yanghua Tian, Qi Li

“…Conclusion: Post-ICH dysphagia can be predicted based on stroke severity, hematoma expansion, and basal ganglia hemorrhage. …”
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Balance correlations, agentic zeros, and networks: The structure of 192 years of war and peace. by David Dekker, David Krackhardt, Patrick Doreian, Pavel N Krivitsky

“…We present a general model that permits the description and testing of specific balance theoretic predictions as Heider had originally proposed them. …”
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Uncovering new Higgses in the LHC analyses of differential t t ¯ $$ t\overline{t} $$ cross sections by Sumit Banik, Guglielmo Coloretti, Andreas Crivellin, Bruce Mellado

“…Due to the level of sophistication of the SM predictions and the performance of the ATLAS and CMS detectors, this is very remarkable. …”
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Endocan, a Risk Factor for Developing Acute Respiratory Distress Syndrome among Severe Pneumonia Patients by Jun Ying, Danfei Zhou, Tongjie Gu, Jianda Huang

“…Endocan expression at ICU admission is a reliable predictive factor in predicting ARDS in patients with SP.…”
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Association between meniscal extrusion and disease severity in knee osteoarthritis: a retrospective case-control study by Peng Wu

“…Correlation analyses indicated a positive relationship between meniscal extrusion and disease severity(r > 0). While the predictive value of meniscal extrusion alone was modest (AUC = 0.617), a combined model integrating various parameters yielded a high predictive value for disease progression (AUC = 0.853). …”
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Analysis of Various Types of Glomerulonephritis with Crescents at a Single Center by Tomo Nakakita, Kenichi Akiyama, Kazunori Karasawa, Yoei Miyabe, Takahito Moriyama, Keiko Uchida, Kosaku Nitta

“…Renal dysfunction at renal biopsy and the ratio of global sclerosis predicted renal prognosis, because it reflects the degree of irreversible renal damage. …”
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Analysis of the Power of Common Diagnostic Tools in the Management of Acute Pancreatitis by Markus Nistal, Malai Zoltani, Ansgar W. Lohse, Nicola Di Daniele, Manfredi Tesauro, Andrea Pace

“…The negative predictive value for SAP in patients below the cutoff was 89.5%. …”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

“…This paper demonstrates the development and application of a deep learning framework for predictions of the flow field and aerodynamic performance of multistage axial compressors. …”
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Abiotic factors: Its relationship on the yield of mango ( L.) with science and Mangifera indica technology interventions by Normina A. Mamalinta, Junito P. Marcelino

“…Conversely, the regression model for temperature (°C) and relative humidity (%) statistically predicted the yield of mangoes (t ha") of farmer-cooperators in Sultan Kudarat during the first cycle of production. …”
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