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75161“…The leaf positioning accuracy is also evaluated by analyzing DynaLog files based on error histograms and root mean square (RMS) errors of leaf pairs’ positions. …”
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75162por Sevy, Serge, Khan, Anzalee, Lindenmayer, Jean-Pierre, McGurk, Susan, Paker, Benedicto, Ljuri, Isidora, Parak, Mohan, Goldring, Abraham“…Difference tests comparing the one-factor and two-factor models found that the two-factor model exhibited significantly better fit than the one-factor model (χ2 = 67.117, df = 1, p ≤ 0.001; CFI = 0.92; Tucker–Lewis index TLI = 0.91; root mean square error of approximation RMSEA = 0.040; and Goodness of Fit index GFI = 0.93). …”
Publicado 2018
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75163“…Neither GS nor GS variance related to root mean square of framewise displacement in the 2 groups. …”
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75164“…To obtain a summary measure of motion, the root-mean-square (RMS) was calculated both for absolute (RMSabs) and relative (RMSrel) movement. …”
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75165por Naidoo, Dhaneshree Bestinee, Chuturgoon, Anil Amichund, Phulukdaree, Alisa, Guruprasad, Kanive Parashiva, Satyamoorthy, Kapaettu, Sewram, Vikash“…We investigated the potential of an aqueous extract of the root of W. somnifera (W(RE)) to modulate cytokines, antioxidants and apoptosis in leukaemic THP-1 cells and peripheral blood mononuclear cells (PBMC’s). …”
Publicado 2018
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75166por Paige, Samantha R, Miller, M David, Krieger, Janice L, Stellefson, Michael, Cheong, JeeWon“…METHODS: Millennials (N=281, mean 26.64 years, SD 5.14), Generation X (N=164, mean 42.97 years, SD 5.01), and Baby Boomers/Silent Generation (N=384, mean 62.80 years, SD 6.66) members completed the eHEALS. The 3-factor (root mean square error of approximation, RMSEA=.06, comparative fit index, CFI=.99, Tucker-Lewis index, TLI=.98) and 4-factor (RMSEA=.06, CFI=.99, TLI=.98) models showed the best global fit, as compared to the 1- and 2-factor models. …”
Publicado 2018
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75167“…The transplanted condyle was scanned with nano-CT, reconstructed (Fig 1B), registered to an initial scan of the recipient MFC, and processed with a custom MATLAB program to determine the surface root mean squared deviation (d(RMS)) between the native and donor surfaces (Fig 1C), percent area unacceptably proud (>1 mm; %A(proud)) and sunken (<-1 mm; %A(sunk)). …”
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75168por LaPrade, Robert F., DePhillipo, Nicholas N., Cram, Tyler, Cinque, Mark, Kennedy, Mitchell, Dornan, Grant, O’Brien, Luke“…Patients were excluded if they were less than 18 years of age, pregnant, undergoing a revision FCL reconstruction, concurrent medial collateral and/or posterior cruciate ligament reconstruction, radial or root meniscal repairs, genu varus alignment in patients with chronic FCL tears, or had a body mass index ≥ 35 kg/m(2). …”
Publicado 2018
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75169por Davoudi, Anis, Wanigatunga, Amal Asiri, Kheirkhahan, Matin, Corbett, Duane Benjamin, Mendoza, Tonatiuh, Battula, Manoj, Ranka, Sanjay, Fillingim, Roger Benton, Manini, Todd Matthew, Rashidi, Parisa“…Random forest model was the best model for METs estimation (root mean squared error of .71 and r-squared value of .50). …”
Publicado 2019
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75170por Kwon, Soonil, Hong, Joonki, Choi, Eue-Keun, Lee, Euijae, Hostallero, David Earl, Kang, Wan Ju, Lee, Byunghwan, Jeong, Eui-Rim, Koo, Bon-Kwon, Oh, Seil, Yi, Yung“…We also compared the diagnostic performance of 1D-CNN and RNN with previously developed AF detectors (support vector machine with root-mean-square of successive difference of RR intervals and Shannon entropy, autocorrelation, and ensemble by combining 2 previous methods) using 10 5-fold cross-validation processes. …”
Publicado 2019
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75171por Arzika, Ahmed M., Maliki, Ramatou, Boubacar, Nameywa, Kane, Salissou, Cotter, Sun Y., Lebas, Elodie, Cook, Catherine, Bailey, Robin L., West, Sheila K., Rosenthal, Philip J., Porco, Travis C., Lietman, Thomas M., Keenan, Jeremy D.“…Parasite density was lower in the azithromycin group than the placebo group at 12 and 24 months (square root–transformed outcome; density estimates were 7,540 parasites/μl lower [95% CI −350 to −12,550 parasites/μl; P = 0.02] at a mean parasite density of 17,000, as was observed in the placebo arm). …”
Publicado 2019
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75172por Steelesmith, Danielle L., Fontanella, Cynthia A., Campo, John V., Bridge, Jeffrey A., Warren, Keith L., Root, Elisabeth D.Enlace del recurso
Publicado 2019
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75173por McGarry, Sean D., Hurrell, Sarah L., Ickzkowski, Kenneth, Banerjee, Anjishnu, Jacobsohn, Kenneth, Hall, William, Hohenwalter, Mark, LaViolette, Peter, Kaczmarowski, Amy, Keuter, Tucker, Nevalainen, Marja, See, William“…The learning curve stabilized at 10 patients with a root mean square error of 0.14, thus the size of the 2 independent training cohorts was set to 10, leaving 19 for the test cohort. …”
Publicado 2018
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75174por Sathyendranath, Shubha, Brewin, Robert J.W., Brockmann, Carsten, Brotas, Vanda, Calton, Ben, Chuprin, Andrei, Cipollini, Paolo, Couto, André B., Dingle, James, Doerffer, Roland, Donlon, Craig, Dowell, Mark, Farman, Alex, Grant, Mike, Groom, Steve, Horseman, Andrew, Jackson, Thomas, Krasemann, Hajo, Lavender, Samantha, Martinez-Vicente, Victor, Mazeran, Constant, Mélin, Frédéric, Moore, Timothy S., Müller, Dagmar, Regner, Peter, Roy, Shovonlal, Steele, Chris J., Steinmetz, François, Swinton, John, Taberner, Malcolm, Thompson, Adam, Valente, André, Zühlke, Marco, Brando, Vittorio E., Feng, Hui, Feldman, Gene, Franz, Bryan A., Frouin, Robert, Gould, Richard W., Hooker, Stanford B., Kahru, Mati, Kratzer, Susanne, Mitchell, B. Greg, Muller-Karger, Frank E., Sosik, Heidi M., Voss, Kenneth J., Werdell, Jeremy, Platt, Trevor“…The uncertainties established on the basis of comparisons with in situ data were combined with an optical classification of the remote-sensing reflectance data using a fuzzy-logic approach, and were used to generate uncertainties (root mean square difference and bias) for each product at each pixel.…”
Publicado 2019
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75175por Büyükkaramikli, Nasuh C., Rutten-van Mölken, Maureen P. M. H., Severens, Johan L., Al, Maiwenn“…CONCLUSIONS: The TECH-VER checklist is a comprehensive checklist for the technical verification of decision analytical models, aiming to help identify model implementation errors and their root causes while improving the transparency and efficiency of the verification efforts. …”
Publicado 2019
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75176por Liu, Gang, Li, Xiaoqiang, Qin, An, Zheng, Weili, Yan, Di, Zhang, Sheng, Stevens, Craig, Kabolizadeh, Peyman, Ding, Xuanfeng“…Clinically significant dosimetric parameters were extracted and compared. Root-mean-square deviation dose (RMSDs) Volume Histogram(RVH) was used to evaluate the plan robustness. …”
Publicado 2020
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75177por Wen, Yujie, Li, Xianbin, Tian, Qing, Hou, Wenpeng, Wang, Xueqi, Yang, Haibo, Wang, Chuanyue“…Meanwhile, there are various neurological and brain root causes behind left-behind children’s learning difficulties, non-socialization and other psychological behavior problems. …”
Publicado 2020
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75178por Huddleston, Hailey, Haunschild, Eric, Naveen, Neal, Southworth, Taylor, Cole, Brian, Yanke, Adam, Chahla, Jorge“…The distance from the LPML to the anterolateral root was 7.35±2.98mm. The center of the LPTL on the tibia was a mean distance of 5.88±3.00mm from Gerdy’s tubercle. …”
Publicado 2020
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75179por Brørs, Gunhild, Wentzel-Larsen, Tore, Dalen, Håvard, Hansen, Tina B, Norman, Cameron D, Wahl, Astrid, Norekvål, Tone M“…The CFA showed a modest model fit for the 1- and 2-factor models (root mean square error of approximation>0.06). After modifications in the 3-factor model, all of the goodness-of-fit indices indicated a good fit. …”
Publicado 2020
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75180“…Revision surgery is commonly due to nerve root impingement and/or malpositioning. Preoperative 3D imaging is indicated when it is necessary to rule out differential diagnoses that mimic SI joint pain. …”
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