Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods by Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li

“…Using the SVM model, the prediction error values at delay time ε = 0.01–0.02 h are RMSE = 2.70 × 10⁻² Nm³/h, MAPE = 44.01 × 10⁻²%, MAE = 2.24 × 10⁻² Nm³/h, and R² = 99.74 × 10⁻², while at delay time ε = 0.03 h they become RMSE = 2.67 × 10⁻² Nm³/h, MAPE = 43.44 × 10⁻²%, MAE = 2.11 × 10⁻² Nm³/h, and R² = 99.75 × 10⁻². …”
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Longitudinal Changes in Corneal Thickness over 8 Years: Findings from the National Institute for Longevity Sciences–Longitudinal Study of Aging Population-Based Cohort Study in Jap... by Hideki Fukuoka, MD, PhD, Chikako Tange, PhD, Fujiko Ando, MD, PhD, Hiroshi Shimokata, MD, PhD, Yukiko Nishita, PhD, Rei Otsuka, PhD

“…Results: At baseline, adjusted CCT measurements were 520.2 ± 2.1 (standard error [SE]) μm, 514.1 ± 2.2 μm, 518.0 ± 2.5 μm, and 514.7 ± 3.7 μm for participants in their 40s, 50s, 60s, and 70s, respectively. …”
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Revealing the Meaning of Implementing the Tax Amnesty Program Through Phenomenology Approaches by Zahrotul Azizah

“…The findings indicate that from the taxpayer’s side understanding, the tax amnesty program is as an opportunity to correct errors. From the side of the tax authorities understands, it is as a program that has not been carefully prepared based on various obstacles experienced by the tax authorities during the implementation of the program. …”
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Fusion FISH imaging: single-molecule detection of gene fusion transcripts in situ. by Fatu Badiane Markey, William Ruezinsky, Sanjay Tyagi, Mona Batish

“…Double-stranded DNA breaks occur on a regular basis in the human genome as a consequence of genotoxic stress and errors during replication. Usually these breaks are rapidly and faithfully repaired, but occasionally different chromosomes, or different regions of the same chromosome, are fused to each other. …”
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Sustainability (disclosure and report format) and firm performance in India. Effects of mandatory CSR reporting by Kofi Mintah Oware, Thomas Adomah Worae

“…The study employed feasible generalised least square, panel-correlated standard errors and probit regression. The sample size is 80, and the study period is between 2010 and 2020. …”
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Influences of work stressors and family support: the mediating role of job performance by Rajpreet Kaur

“…Root-mean-square approximation error and CMIN/DF were also used to further assess the model’s validity. …”
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The role of productivity, wages, demand, and exchange rates on export performance: Evidence from the Turkish manufacturing industry by Ahmet Koluman, Fatih Kaplan

“…Methods — Using firm-level export data across 21 manufacturing sectors, the study applies a Fixed-Effects model with Driscoll-Kraay standard errors to address heteroscedasticity, autocorrelation, and cross-sectional dependence. …”
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Vergence Eye Movements: From Basic Science to Clinical Application by Wolfgang Jaschinski, Rudolf Groner

“…The question arises: Are the difference in the measurements due to noise, to error, or due to physiological processes? A further difficulty arises from the individual differences between observers. …”
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Imputed Dreams: Dreaming and Knowing in Tudor England by Mary Baine Campbell

“…A matching and related fear is traceable in Nashe’s Terrors, the fear of oneiric error, wandering across borders usually experienced as rigid and definitive. …”
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Fibroblasts regulate the transcriptional signature of human papillomavirus-positive keratinocytes by Claire D. James, Rachel L. Lewis, Austin J. Witt, Christiane Carter, Nabiha M. Rais, Xu Wang, Molly L. Bristol

“…Novel observations suggest that errors in “cross-talk” between fibroblasts and infected keratinocytes may regulate HPV integration and drive oncogenic progression. …”
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Spatially Resolved Isotopic Source Signatures of Wetland Methane Emissions by A. L. Ganesan, A. C. Stell, N. Gedney, E. Comyn‐Platt, G. Hayman, M. Rigby, B. Poulter, E. R. C. Hornibrook

“…The source signature map resolves a latitudinal difference of ~10‰ between northern high‐latitude (mean −67.8‰) and tropical (mean −56.7‰) wetlands and shows significant regional variations on top of the latitudinal gradient. We assess the errors in inverse modeling studies aiming to separate CH4 sources and sinks by comparing atmospheric δ13C(CH4) derived using our spatially resolved map against the common assumption of globally uniform wetland δ13C(CH4) signature. …”
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A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method by Y. Cui, S. Chen, Y. Gong, M. Li, Z. Jia, Y. Zhou, Y. Zhou, Y. H. Fu, Y. H. Fu, Y. H. Fu

“…<p>Global change has substantially shifted vegetation phenology, with important implications in the carbon and water cycles of terrestrial ecosystems. …”
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MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

“…However, due to its distance-based processing nature, ICP relies on an accurate pose initialization while implicating increased computational complexity with a growing number of points. …”
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Environmental sustainability in Sub-Saharan Africa: Does information and communication technology (ICT) matter? by Mamadou Asngar Thierry, Ongo Nkoa Bruno Emmanuel, Nchofua Protus Biondeh

“…As estimation techniques, pooled ordinary least squares (OLS), fixed effect (FE), random effect (RE), panel correlated standard error (PCSE) and feasible generalised least squares (FGLS) are employed. …”
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Continuity correction of Pearson’s chi-square test in 2x2 Contingency Tables: A mini-review on recent development by Nicola Serra, Teresa Rea, Paola Di Carlo, Consolato Sergi

“…The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sciences, but it introduces an error for 2x2 contingency tables, when a discrete probability distribution is approximated with a continuous distribution. …”
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Nonlinear Elasto-Mammography for Characterization of Breast Tissue Properties by Z. G. Wang, Y. Liu, G. Wang, L. Z. Sun

“…The material parameters are identified with consideration of measurement error. The results demonstrate that the projective displacements acquired in X-ray mammography provide sufficient constitutive information of the tumor and prove the usability and robustness of the proposed method and algorithm.…”
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Individual yeast cells signal at different levels but each with good precision by Steven S. Andrews, Roger Brent

“…We found that 91% of response variation was due to stable cell-to-cell differences, 8% from experimental measurement error, and 1% from signalling noise and expression noise. …”
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Condensin HEAT subunits required for DNA repair, kinetochore/centromere function and ploidy maintenance in fission yeast. by Xingya Xu, Norihiko Nakazawa, Mitsuhiro Yanagida

“…Here we report isolation and characterization of 21 fission yeast (Schizosaccharomyces pombe) mutants for three non-SMC subunits, created using error-prone mutagenesis that resulted in single-amino acid substitutions. …”
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Determinants of Maize Production and Its Supply Response in Kenya by Allan Nyakora Masese, Lucia Mary Mbithi, Niraj Prakash Joshi, Samson Masese Machuka

“…Under this backdrop, this study aimed to estimate thecombined contribution of maize area harvested, expenditure on fertilizers,number of tractors used, and maize seed quantity to national maize productionin Kenya using the Vector Error Correction Model (VECM) and Nerlove Model. …”
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On using dynamical seasonal forecasts to develop management-driven wildland fire outlooks in Alaska by Cecilia Borries-Strigle, Uma S. Bhatt, Peter A. Bieniek, Mitchell Burgard, Eric Stevens, Heidi Strader, Richard L. Thoman, Alison York, Robert H. Ziel

“…The BUI outlooks are evaluated based on Alaska wildfire subseason, BUI tercile, and predictive service area subregion with the area under the ROC curve (AUROC), Heidke, and mean squared error (MSE) skill scores. Skill is greatest for the wind (April 1–June 10) and drought (July 21–August 9) subseasons and in the Western Boreal subregion of Alaska. …”
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