From lab to landscape-scale experiments for the morphodynamics of sand dunes by Claudin, Philippe, Courrech du Pont, Sylvain, Narteau, Clément

“…We emphasise the general agreement between observations, measurements and theoretical predictions, which indicates a robust comprehension of the underlying processes. …”
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Effectiveness of sheet pile enclosure with drainage ability as liquefaction countermeasure for river levees by Mitsu Okamura, Mizuki Suyama, Kohei Ono

“…Additionally, a practical method was developed for predicting excess pore pressure and then validated through a comparison with test observations. …”
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Identification of global main cable line shape parameters of suspension bridges based on local 3D point cloud by Yurui Li, Danhui Dan, Ruiyang Pan

“…Given the strong design prior information available during suspension bridge construction, Bayesian theory is applied to predict and adjust the global line shape of the main cable. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…The model achieved a DSC score of 0.7960 in the training set and 0.7912 in the test set, demonstrating its effectiveness in performing segmentation of MS from multi-modal MRI data. The predicted locations of MS lesions were compared with the corresponding layers of white matter, gray matter, and cerebrospinal fluid within the brain. …”
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Integrated Analysis of mRNA and lncRNA Expression Profiles Reveals Regulatory Networks Associated with Decompensated Cirrhosis by Li Zhang, Xiaoyu Fang, Suhua Wang, Shasha Ma, Jinyan Zhang, Xiang Dong, Jing Dai, Chuanmiao Liu, Yu Gao

“…In summary, this study identified differentially expressed mRNAs (DE-mRNAs) and DE-lncRNAs and predicted the biological processes and signaling pathways involved in cirrhotic decompensation, which might provide new ideas for further revealing the molecular mechanism of DCC pathogenesis.…”
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Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…Abstract The World Health Organization predicts that by 2030, depression will be the most common mental disorder, significantly affecting individuals, families, and society. …”
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Poorly differentiated thyroid cancer: Clinical, pathological, mutational, and outcome analysis by Amit Agarwal, Nelson George, Niraj Kumari, Narendra Krishnani, Prabhaker Mishra, Sushil Gupta

“…It is worthwhile to identify prognostic factors that can predict the course of PDTC.…”
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Old residual mortar as a quality indicator of recycled brick aggregate by Md Roknuzzaman, NHM Kamrujjaman Serker, Md Mahabub Rahman

“…The developed models may be used to predict the expected quality of RBA and ReC based on their attached old RM, which would be helpful in deciding their usage for different applications.…”

Analysis of the impact of space organization on the viability of the Karaj metropolitan core by behrouz hashemi, farzaneh sasanpor, ali movahed, Habiallah Fasihi

“…Abstract With the rapid growth of population and urbanization since the last century, the complexity and understanding of the spatial organization of the city, as well as the ability to predict urban events in its spaces, have become difficult and in some cases impossible. …”
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Geochemical exploration of rare earth element resources in highland karstic bauxite deposits in the Sierra de Bahoruco, Pedernales Province, Southwestern Dominican Republic. by Mark Chappell, Harold Rojas, Charles Andros, Autumn Acree, Yoko Masue-Slowey, Christine Young, Paige Fowler, Elizabeth Lotufo, Wesley Rowland, Michelle Wynter, Marcelo Salles, Leopoldo Gonzalez

“…Future research should explore using these and other portable sensors, singly or combined, to predict REE speciation, for expediting information related to the environmentally sustainable extractability and potential economic feasibility of resources in expeditionary locations.…”
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Comprehensive study of the state and relationship of choroidal and regional hemodynamics in retinal vein occlusion in young women by A.A. Fil, O.V. Kolenko

“…These data can significantly expand the diagnostic capabilities of identifying the severity of the clinical course of acute respiratory infections and help predict the possible formation of neovascularization.…”
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Enhancing unity-based AR with optimal lossless compression for digital twin assets. by Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H AlDaajeh, Siti Salwani Yaacob, Mazidah Mat Rejab

“…This study also creates mathematical models for predicting resource utilization, like RAM and CPU time, required by AR mobile applications. …”
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Accumulating the key proteomic signatures associated with delirium: Evidence from systematic review. by Md Parvez Mosharaf, Khorshed Alam, Jeff Gow, Rashidul Alam Mahumud

“…No single proteomic biomarker can be solely used to diagnose and predict delirium. The current review provides a rationale for further molecular investigation of delirium-related proteomic biomarkers. …”
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Elucidating the Correlation of D-Dimer Levels with COVID-19 Severity: A Scoping Review by Wesam Ahmed Nasif, Abeer Shaker El-Moursy Ali, Mohammed Hasan Mukhtar, Aali Marzouq H. Alhuzali, Yahya Ahmed Yahya Alnashri, Ziyad Ishaq Ahmed Gadah, Eyyad Adeeb A. Edrees, Hussam Abdulaziz Mabruk Albarakati, Hussam Saud Muhji Aloufi

“…It has been postulated that D-dimer could potentially be used as a biomarker to predict the prognosis and outcome of COVID-19 patients at the time of admission to hospitals and facilitate more personalized and efficient clinical management that could significantly reduce the mortality rate of such patients and allow more rapid recovery.…”
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The Potential Dual Role of H2.0-like Homeobox in the Tumorgenesis and Development of Colorectal Cancer and Its Prognostic Value by Shuo Chen, Lin Zhang, Kai Wang, Jizhen Huo, Siqi Zhang, Xipeng Zhang

“…A nomogram was established to predict 1-, 3-, and 5-year overall survival of CRC patients. …”
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Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering by Samin Poudel, Marwan Bikdash

“…We postulate and analyze a nonlinear subsampling accuracy loss (SSAL) model based on the root mean square error (RMSE) and two SSAL models based on the mean square error (MSE), suggested by extensive preliminary simulations. The SSAL models predict accuracy loss in terms of subsampling parameters like the fraction of users dropped (FUD) and the fraction of items dropped (FID). …”
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Modification of Medium Composition for Enhancing the Production of Antifungal Activity from Xenorhabdus stockiae PB09 by Using Response Surface Methodology by Chirayu Sa-uth, Paweena Rattanasena, Angsumarn Chandrapatya, Prapassorn Bussaman

“…After that, the suitable carbon, nitrogen, and mineral sources were selected and adjusted by the second-order polynomial regression model, which predicted that 98.62% of antifungal activity could be obtained when the medium contained sucrose, yeast extract, NaCl, and K2HPO4 at 3.24, 23.71, 5.46, and 2.73 g/L, respectively. …”
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Functional genomic insights into Floricoccus penangensis ML061-4 isolated from leaf surface of Assam tea by Patthanasak Rungsirivanich, Elvina Parlindungan, Jennifer Mahony, Witsanu Supandee, Narumol Thongwai, Douwe van Sinderen

“…The complete genome of F. penangensis ML061-4 consists of single chromosome of 2,159,127 base pairs, containing a GC content of 33.2% and encompassing 2049 predicted protein-encoding genes. A total of 1195 genes (58.0%) in the F. penangensis ML061-4 genome have assignable functions based on BlastKOALA analysis. …”
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Case Report: Two years of compassionate use with Olipudase-alfa in a child with neurovisceral acid sphingomyelinase deficiency by Federica Deodato, Sara Boenzi, Benedetta Greco, Alessia Graziosi, Carlo Dionisi-Vici

“…ASMD presents a broad phenotypic spectrum with a continuum of severity, making it challenging to predict the phenotype in very young children and differentiate between acute and chronic neurovisceral disease. …”
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Color and tone color: audiovisual crossmodal correspondences with musical instrument timbre by Lindsey Reymore, Lindsey Reymore, Delwin T. Lindsey, Delwin T. Lindsey

“…Overall, results were consistent with hypothesized concordances between ratings on crossmodal timbre descriptors and participants’ color associations. Semantic ratings predicted the lightness and saturation of colors matched to instrument timbres; effects were larger when both pitch register and instrument type varied (Experiment A) but were still evident when pitch register was held constant (Experiment B). …”
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