Development and Validation of Prediction Model for Exhaust Emissions During Tractor Plow Tillage by Ryu-Gap Lim, Tae-Bum Kim, Wan-Soo Kim, Seung-Yun Baek, Hyeon-Ho Jeon, Jee-Young Ham, Chul Yoo, Yong-Joo Kim

“…In addition to engine load data, correlation analysis was conducted on engine temperature and fuel consumption variables. …”
Get full text

Accurate prediction of the lymph node status in ampullary duodenal carcinoma: potential guidance for clinical management by Ran Ni, Tianpeng Zhang, Yixuan Mou, Zhiming Hu, Zongting Gu

“…The nomogram was evaluated using the Akaike information criterion, misclassification error, area under the curve, and likelihood ratio test. …”
Get full text

Predicting Overload Risk on Plasma-Facing Components at Wendelstein 7-X from IR Imaging Using Self-Organizing Maps by Giuliana Sias, Emanuele Corongiu, Enrico Aymerich, Barbara Cannas, Alessandra Fanni, Yu Gao, Bartłomiej Jabłoński, Marcin Jakubowski, Aleix Puig Sitjes, Fabio Pisano, W7-X Team

“…This paper proposes a machine learning approach for developing a real-time overload detector, trained and tested on OP1.2a experimental data. The analysis showed that Self-Organizing Maps (SOMs) are efficient in detecting the overload risk starting from a set of plasma parameters that describe the magnetic configuration, the energy behavior, and the power balance. …”
Get full text

Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

“…The significance of this research lies in its ability to automate and accelerate complex structural analysis using Adaptive Neuro-Fuzzy Inference Systems (ANFISs), achieving an average error of less than 2% in multi-variable prediction scenarios. …”
Get full text

Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South Sudan by Gabriel Makuei, Mali Abdollahian, Kaye Marion

“…Thus, this paper deploys statistical analysis to identify the significant physiological causes of MMR in South Sudan. …”
Get full text

Spatial correlation guided cross scale feature fusion for age and gender estimation by Shiyi Jiang, Qing Ji, Hukui Shi, Che Chen, Yang Xu

Get full text

Prevalence of Reduced Vision among UK Elderly Drivers: The Bridlington Eye Assessment Project (BEAP)—A Cross-Sectional Study by Craig Wilde, Ali Poostchi, Georgios D. Panos, Jonathan G. Hillman, Hamish K. MacNab, Harminder Dua, Winfried M. Amoaku, Stephen A. Vernon

“…Statistical analysis was performed using Stata 14.0 (Stata Corp, Tx). …”
Get full text

Chemoproteogenomic stratification of the missense variant cysteinome by Heta Desai, Katrina H. Andrews, Kristina V. Bergersen, Samuel Ofori, Fengchao Yu, Flowreen Shikwana, Mark A. Arbing, Lisa M. Boatner, Miranda Villanueva, Nicholas Ung, Elaine F. Reed, Alexey I. Nesvizhskii, Keriann M. Backus

“…Our chemoproteogenomics platform integrates chemoproteomic, whole exome, and RNA-seq data, with a customized two-stage false discovery rate (FDR) error controlled proteomic search, which is further enhanced with a user-friendly FragPipe interface. …”
Get full text

Diagnosis of Acute Respiratory Distress Syndrome in Nosocomial Pneumonia by A. N. Kuzovlev, V. V. Moroz, A. M. Golubev, S. G. Polovnikov, T. V. Smelaya

“…The findings were statistically analyzed using a Statistica 7.0 package (arithmetic mean, error of the mean, _ Student’s test, Newman-Keuls test, correlation analysis). …”
Get full text

Causality Between 91 Circulating Inflammatory Proteins and Various Asthma Phenotypes: A Mendelian Randomization Study by Zhang S, Zhang X, Wei C, Zhang L, Li Z

“…The FDR correction was performed due to the possibility of a type 1 error.Results: Genetically predicted IVW results revealed a total of 30 data sets suggesting a potential causal relationship between circulating inflammatory proteins and asthma phenotypes. …”
Get full text

Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems by Changzhi Yang, Linyu Wei, Xi Huang, Lili Tu, Yanjia Xu, Xiaolong Li, Zhe Hu

“…Comparative analyses included Pearson correlation coefficients (r), root mean square differences (RMSD), extreme error values, and statistical parametric mapping (SPM).SPM analysis of the three movements in the sagittal plane revealed significant differences in hip joint angles, with joint angle RMSD ≤ 5.6°, hip joint moments RMSD ≤ 0.26 N·M/kg, and power RMSD ≤ 2.12 W/kg showing considerable variation, though not reaching statistical significance. …”
Get full text

Modified hard-constrained PINNs for physically consistent microgrid transient response modeling by Likun Chen, Yifan Wang, Wei Sun, Lei Shang, Xuzhu Dong, Bo Wang

“…Compared to conventional ’structure-first’ grey-box model for transient response analysis, our approach unifies physics fidelity with data-driven adaptability, achieves a new balance between interpretability and generalization in microgrid equivalent modeling. …”
Get full text

Development of the dementia attitude scale focusing on well-being by Ichie Ono, Hisae Nakatani, Yuriko Inoue, Xuxin Peng, Hironobu Hamada

“…The confirmatory factor analysis model indices were as follows: χ2 = 146.574, df = 51, p < 0.001, comparative goodness of fit index = 0.930, goodness of fit index = 0.945, Tucker-Lewis index = 0.909, and root mean square error of approximation = 0.068. …”
Get full text

Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating by ShengShai Zhang, Shiping Chen, Xiaodong Yu, Shaowei Mei

“…Abstract In response to the challenges of information overload in large datasets, as well as issues related to data sparsity and cold starts in traditional recommendation algorithms, this paper proposes a collaborative filtering algorithm based on an enhanced K-means algorithm for user attribute rating and common rating. …”
Get full text

Mapping of groundwater potential zones of Khordha District using GIS and AHP approaches by Abinash Sahoo, Rupsa Subhadarshini, Falguni Baliarsingh

“…Validation of the generated GPWZ map was done with data acquired from Central groundwater board. The accuracy assessment was done by kappa coefficient error matrix, and based on overall accuracy, the obtained map was 81.538% accurate to field value. …”
Get full text

Impact of lens autofluorescence and opacification on retinal imaging by Frank G Holz, Maximilian Pfau, Monika Fleckenstein, Raffael Liegl, Geena C Rennen, Marc Vaisband, Jan Hasenauer

“…CNN image quality prediction was excellent (average mean absolute error (MAE) 0.9). Predictions were comparable to human grading. …”
Get full text

Hyperspectral Estimation of Chlorophyll Content in Ginseng Fruit Leaves Based on Wavelet Transform and VCPA-GA Algorithm by Guo Jinfeng, Zhang Zhicong, Umut Hasan, Zhou Zhongye, Xu Wenyu, Yusup Ahmat

“…We applied the Discrete Wavelet Transform (DWT) to extract the low-frequency coefficients from the 0-10 layers of the hyperspectral data. We then conducted a Pearson correlation analysis on the 0-10 layer spectral datasets and their corresponding LCCs. …”
Get full text

Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Deve... by Mohammed A. AboArab, Vassiliki T. Potsika, Alexis Theodorou, Sylvia Vagena, Miltiadis Gravanis, Fragiska Sigala, Dimitrios I. Fotiadis

“…It uses advanced interpolation techniques to make volume reconstructions more accurate. This makes MPR analysis and visualization better in a web environment, thus promising a substantial advance in medical imaging analysis. …”
Get full text

Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…The H2S removal was then predicted using a machine learning algorithm, specifically ANN, based on two years of historical data obtained from the biogas plant. A detailed techno-economic analysis was also carried out to determine the economic feasibility of the process. …”
Get full text

bImproved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions by Dukwon Bae, Dongjin Cho, Jungho Im, Cheolhee Yoo, Yeonsu Lee, Siwoo Lee

“…In the leave one station-out cross-validation using 36 in situ data under all-sky conditions, the proposed model showed high performance with R2 values of 0.86–0.97, root mean square error values of 1.42–2.60 °C, and bias values of −0.49–0.23 °C. …”
Get full text