Development of posterior staphyloma in a child with retinitis pigmentosa and high myopia detected by Ultra-widefield Optical Coherence Tomography: A 4-year follow-up by Changyu Chen, Kyoko Ohno-Matsui

“…During follow-up, staphyloma deepening was accompanied by axial elongation and increased myopic refractive error. Conclusions and Importance: This case highlights the onset and progression of posterior staphyloma in patients with RP, demonstrating that staphyloma related to RP occurs even in childhood.…”
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VEGF Polymorphisms Related to Higher Serum Levels of Protein Identify Patients with Hepatocellular Carcinoma by Maria Eduarda Lopes Baitello, Graciele Domitila Tenani, Rafael Fernandes Ferreira, Victor Nogueira, Marcela Augusta de Souza Pinhel, Rita de Cássia Martins Alves da Silva, Renato Ferreira da Silva, Patrícia da Silva Fucuta, Moacir Fernandes de Godoy, Dorotéia Rossi Silva Souza

“…Polymorphisms were analysed by PCR/RFLP and serum levels of VEGF by ELISA. Alpha error was set at 5%. The wild-type genotype of both polymorphisms prevailed (P>0.05). …”
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Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag mode... by Hasan Tahir, Frank Cobelens, Christina Mergenthaler, Mirjam I Bakker, Tanveer Ahmed, Jake D Mathewson, Daniella Brals, Abdullah Latif, Stephanie Lako, Andreas Werle van der Merwe, Matthys Potgieter, Vincent Meurrens, Zia Samad, Ente Rood

“…While the BML had a slightly lower root mean squared error (1.02 vs 1.03) the NBR had a slightly better fit based on the Akaike information criterion.Conclusions Statistical models can be effective in predicting TB hotspots for ACF planning, and the relatively simpler NBR model was nearly as effective as a more complex BML model. …”
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Tissue Distribution and Pharmacokinetic Characteristics of Aztreonam Based on Multi-Species PBPK Model by Xiao Ye, Xiaolong Sun, Jianing Zhang, Min Yu, Nie Wen, Xingchao Geng, Ying Liu

“…Finally, the cross-species validation was performed using the average fold error (AFE) and absolute relative error (ARE). <b>Results</b>: The cross-species validation showed that the model predictions were highly consistent with the experimental data (AFE < 2, ARE < 30%), but the deviation of the volume of distribution (<i>V_ss</i>) in dogs and monkeys suggested the need to supplement the species-specific parameters to optimize the prediction accuracy. …”
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Quantitative Mapping of Posterior Eye Curvature in Children Using Distortion-Corrected OCT: Insights into Temporal Region Morphology by Takahiro Hiraoka, MD, PhD, Masato Tamura, MS, Yoshikiyo Moriguchi, PhD, Riku Kuji, MS, Toshihiro Mino, PhD, Masahiro Akiba, PhD, Yosuke Takahashi, OD, Kenichi Yoshino, MD, PhD, Yoshimi Sugiura, MD, PhD, Toshifumi Mihashi, PhD, Tetsuro Oshika, MD, PhD

“…Significant correlations were noted between mean curvature and AL, refractive error, and ChT in the superior, macular, and inferior regions. …”
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Validity, Agreement and Reliability of the ForceFrame Dynamometer in Patients with Anterior Cruciate Ligament Injury by Kamilla Arp, Thomas Frydendal, Troels Kjeldsen, Ulrik Dalgas, Signe Timm, Bjarke Viberg, Kim Ingwersen, Claus Varnum

“…Reliability was tested as test-retest and inter-tester reliability using interclass correlation coefficient (ICC), while agreement was tested using Bland & Altman plots with limits of agreement (LOA), standard error of measurement (SEM) and smallest detectable change (SDC). …”
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Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex by Zili Gao, Yuzhen Zhang, Laura C. Harrington, Courtney C. Murdock, Elisabeth Martin, Dalton Manbeck-Mosig, Steve Vetrone, Nicolas Tremblay, Christopher M. Barker, John M. Clark, Lili He, Wei Zhu

“…Classification tasks used cross-entropy loss; regression applied mean squared error. Models were trained with a 70–30 training–validation split and optimized using the Adam optimizer over 10,000 iterations. …”
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Development and validation of the age-associated dementia policy (AgeD-Pol) computer simulation model in the USA and Europe by Anand Viswanathan, Lee H Schwamm, Krishna P Reddy, Emily P Hyle, Fatma M Shebl, Kenneth A Freedberg, Julia H A Foote, Yiqi Qian, Shibani S Mukerji, Nattanicha Wattananimitgul, Ankur Pandya

“…We compared model-projected AAD cumulative incidence and mortality with published cohort data using mean absolute percentage error (MAPE) and root-mean-square error (RMSE).Results In internal validation, the AgeD-Pol model provided a good fit to the ACT cohort for cumulative AAD incidence, 10.4% (MAPE, 0.2%) and survival, 66.5% (MAPE, 8.8%), after 16 years of follow-up among those initially aged 65–69 years. …”
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Development and Validation of the Digital Sensitivity Scale for Adults: Cross-Sectional Observational Study by Hae In Park, Minjeong Jeon, Ji Seon Ahn, Kyungmi Chung, Jin Young Park

“…Confirmatory factor analysis was conducted for each model (digital literacy model: χ271=676.0, comparative fit index=0.938, Tucker-Lewis index=0.921, standardized root mean square residual=0.73, and root mean square error of approximation=0.093; digital efficacy model: χ28=81.9, comparative fit index=0.977, Tucker-Lewis index=0.958, standardized root mean square residual=0.73, and root mean square error of approximation=0.097), which indicated a good fit. …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…Performance metrics were R‐squared (R2), mean squared error (MSE), root mean squared error (RMSE) and mean Winkler interval score (MWIS) with 90% prediction coverage (PC). …”
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Drug-Resistant Tuberculosis Hotspots in Oliver Reginald Tambo District Municipality, Eastern Cape, South Africa by Lindiwe Modest Faye, Mojisola Clara Hosu, Teke Apalata

“…The Linear Regression model predicts a continued decline to zero cases by 2026, with an R² = 0.865, a mean squared error (MSE) of 507.175, and a mean absolute error (MAE) of 18.65. …”
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Evaluation and patient experience of wireless noninvasive fetal heart rate monitoring devices by Chantal Eenkhoorn, Tom G. Goos, Jenny Dankelman, Arie Franx, Alex J. Eggink

“…Performance was evaluated by: success rate, positive percent agreement, bias, 95% limits of agreement, regression line, root mean square error and visual agreement using FIGO guidelines. …”
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Using dead-reckoning to track movements and map burrows of fossorial species by James Redcliffe, Jesse Boulerice, Itai Namir, Rory Wilson, William J. McShea, Hila Shamon

“…In addition, the 2D dead-reckoning process documented all turns (100%) in our plastic tunnel system and had a mean error of 15.38 cm over all test tunnel lengths of up to 4 m. …”
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ANALISIS KEMAMPUAN BERPIKIR LOGIS MATEMATIS SISWA PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL by Mustafa A H Ruhama, Nurya Yasin, Karman La Nani

“…Students at KBLM Level 2 were able to say and write down what was known and not write down what is asked, can use the steps to solve systems of linear equations in two variables but make calculation errors in these steps, do not provide arguments about all the steps solve systems of linear equations in two variables, and do not draw conclusions correctly on the final answer…”
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MRI Application in Quantification of Epiphyseal Development in the Wrist and Bone Age Estimation of Han Male Adolescents in East China by ZHOU Zhi-lu, ZHANG Dong-fei, CHEN Jie-min, WANG Ya-hui, HAO Hong-xia, LIU Tai-ang, HE Yu-heng, LONG Ding-nian, LIU Rui-jue, WAN Lei

“…Quantifying the maximum width of the epiphysis and corresponding metaphysis of bone and combining it with MRI image classification can effectively reduce the estimation error.…”
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Effectiveness of Community Smoking Prevention Education in Enhancing Adolescent’s Knowledge in Banyuwangi Indonesia by Azimatul Karimah, Soetjipto, Izzatul Fithriyah, Sheila Maryam Gautama, Agustina Sjenny, Adila Taufik Syamlan, Nindy Adhilah, Dina Faizatur Rahmah, Williana Suwirman, Virzi Aliyyah Rahma, Teisha Jediya Videlia Marantika, Rifat Nurwita Kusumaningtyas, Andyani Pratiwi, Rizka Solehah

“…Eventually, the standard error mean for the pre-test and post-test is 2.073. …”
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Analysis of the Characteristics and Contribution Rate of Base Flow in Typical Basins of the Loess Plateau by ZHANG Jiyuan, YU Kunxia, LI Zhanbin, LI Peng, LIU Yonggang, MO Shuhong, ZHAO Binhua, YANG Jianhong, JIA Lu, LI Xue

“…[Results] The F4 digital filtering method exhibited superior performance in terms of stability, dispersion, and error metrics, making it the most suitable method for the typical watersheds of the Loess Plateau. …”
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Cross-cultural adaptation and validation of the Chinese version of the taste and smell survey for cancer patients by Haixin Liang, Qing Yang, Li Yin, Huarong Pang, Enmei Jiu, Bin Li, Lei Qin

“…All indices calculated in the Confirmatory Factor Analysis (CFA) were presented as follows: χ²/df = 3.446, the Goodness-of-fit Index (GFI) = 0.902, the Comparative Fit Index (CFI) = 0.946, the Incremental Fit Index (IFI) = 0.946, the Tucker‒Lewis Index (TLI) = 0.930, the Root Mean Square Residual (RMR) = 0.054, and the Root Mean Square Error of Approximation (RMSEA) = 0.095. All of the above results indicated good validity and reliability of the Chinese version of the TSS. …”
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Toward a Self-Inflating Bag Mechanical Ventilator, Maturation in Continuous Use, Safety, and Repeatability for Ventilatory Variables by Noe Rodriguez, Carlos Rubio, Leonardo Barriga, Fernando Fonseca, Jorge Soto, Jose Pineda, David Sanchez, Antonio Rojas, David Lopez, Dalia Madrigal, Blanca Villagran, Mayra Sosa, Silvio Ñamendys, Alan Gutierrez, Alain Cueto

“…Six pigs were assigned to the experimental group and six were assigned to the reference group.Results The EHT presented a relative error within the allowed margin for both pressure and volume modes. …”
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A nomogram clinical model for predicting preoperative lower limb venous thrombosis in knee ligament injuries: a retrospective study by Jincai Duan, Jincai Duan, Tianjie Xiao, Tianyou Xing, Tianyou Xing, Wei Qin, Wei Qin, Zhihui Wang, Zhihui Wang, Haoduan Dou, Haoduan Dou, Di Wu, Yuanliang Du, Yuanliang Du

“…The ROC showed good diagnostic efficacy, with an area under the curve (AUC) of 0.888, and the calibration curves showed good agreement (mean absolute error = 0.013).ConclusionGender, damaged ligament site, and D-dimer level can be used as independent risk factors for the preoperative prediction of LLVT, and the nomogram model proposed in this study can better assist clinicians in making clinical decisions.…”
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