Coupling of numerical groundwater–ocean models to improve understanding of the coastal zone by J. Jin, J. Jin, J. Jin, M. Espino, M. Espino, D. Fernàndez-Garcia, D. Fernàndez-Garcia, A. Folch, A. Folch

“…Validation of the coupled model against empirical data confirmed its high fidelity, with errors within acceptable ranges.</p> <p>This coupled model employs dynamic boundary conditions, overcoming the limitations of traditional coastal groundwater models that assume constant salinity. …”
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About the trustworthiness of physics-based machine learning – considerations for geomechanical applications by D. Degen, D. Degen, D. Degen, M. Ziegler, M. Ziegler, O. Heidbach, O. Heidbach, A. Henk, K. Reiter, F. Wellmann, F. Wellmann

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Real-time monitoring of soil moisture in cotton fields using electromagnetic induction technology by Yang Gao, Quanze Hu, Jiaojiao Hui, Lin Chang, Mei Zeng, Qingsong Jiang

“…Currently, electromagnetic induction technology provides a non-destructive alternative, using the inversion simulation of soil apparent electrical conductivity (ECa) to construct an empirical θg model, but the prediction accuracy of the constructed model is questioned when dealing with dynamic or highly uncertain data, resulting in large errors in the prediction results and cannot meet the needs of practical applications. …”
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Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

“…While satellite sensors offer extensive spatial and temporal coverage, their low spatial resolution often introduces significant errors when ground measurements are directly matched with satellite image pixels. …”
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Analysis of the Spatiotemporal Patterns of Water Conservation in the Yangtze River Ecological Barrier Zone Based on the InVEST Model and SWAT-BiLSTM Model Using Fractal Theory: A C... by Xianqi Zhang, Jiawen Liu, Jie Zhu, Wanhui Cheng, Yuehan Zhang

“…Using the InVEST model, the study evaluates the water conservation service functions of the research area, identifying key water conservation zones and their spatiotemporal variations. …”
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The Role of Vitamin D in the Management of Major Depressive Disorder: A Systematic Review by Andreea Roșian, Mihaela Zdrîncă, Luciana Dobjanschi, Laura Grațiela Vicaș, Mariana Eugenia Mureșan, Camelia Maria Dindelegan, Rita Ioana Platona, Eleonora Marian

“…More rigorous studies, without methodological errors, are needed to correctly and definitively assess the impact of vitamin D in relation to depression.…”
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3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging by Rizos-Theodoros Chadoulis, Ioannis Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine Kotropoulos

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Analysis of the mechanism of transition to the limit state of Series 111 residential buildings during the 1988 Spitak earthquake by Yu. A. Berzhinsky, A. P. Ordynskaya, L. P. Berzhinskaya, A. Yu. Gornov, E. A. Finkelshtein

“…The consequences of obvious design and construction errors discovered 12 years before the Spitak earthquake were ‘written off’and explained by the natural disaster, including underestimated standard seismicity, features of the engineering-geological settings, and the unfavorable spectrum of theactual impact. …”
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Variants of NLRP genes encoding subcortical maternal complex components are linked to biparental placental mesenchymal dysplasia by Ayaka Murase, Hiroyuki Mishima, Saori Aoki, Satoshi Hara, Musashi Kubiura-Ichimaru, Takashi Ohba, Koh-ichiro Yoshiura, Hidenobu Soejima

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Climate-related financial policies as an enabler of circularity: a new insight from selected countries of the European Union by Nguyen Hong Yen, Le Thanh Ha

“…Design/methodology/approach – The authors use a panel-corrected standard errors (PCSE) model, a feasible generalized least square model and the two-step general method of moment to explore this link. …”
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VMMCD: VMamba-Based Multi-Scale Feature Guiding Fusion Network for Remote Sensing Change Detection by Zhong Chen, Hanruo Chen, Junsong Leng, Xiaolei Zhang, Qi Gao, Weiyu Dong

“…The redundancy within the models and detection errors, particularly missed detections, generally affect accuracy and merit further research. …”
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Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds: A pilot study by Valentino Šafran, Urška Smrke, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, Izidor Mlakar

“…Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. …”
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An Investigation of Dosimetric Consequences of the Anatomic Changes at First Fraction in VMAT of Prostate Cancer Cases using Deformable Planning CT and KVCBCT Image Registration by Hussam Hameed Jassim, Hassan A Nedaei, Nooshin Banaee, Ghazale Geraily, Ali Kazemian

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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…The Generalized Regression Neural Networks model demonstrated high accuracy in predicting engine performance and emissions, with coefficient of determination (R2) values exceeding 0.98 and mean absolute percentage errors below 5 %. Optimization results indicated that bio-hydrogenated diesel ratios centered around 90 % provided the best balance of performance and emissions. …”
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Peningkatan Efisiensi Waktu Seleksi Karyawan dengan Kombinasi Metode Analytical Hierarchy Process dan Simple Additive Weighting by Julianto Lemantara, I Ketut Adi Suprianta, Lidya Ananda Arsyanti, Oktavia Deyo Lago

“…This company has problems in selecting prospective employees because there are recruitment errors of about 3 to 4 people in one year. In addition, the selection process takes a long time, namely 7 until 10 days to recap and calculate the assessment of prospective employees in the form of Microsoft Excel. …”
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Interleukins in lacrimal fluid and diabetic retinopathy by I. V. Lev, N. M. Agarkov

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Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise by Ya Li, Shengyang Chen, Jie Lei

“…The results showed that the equation for calculating H in this paper is highly reliable, with relative errors less than 30% compared to other researchers. …”
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Calibration verification for stochastic agent-based disease spread models. by Maya Horii, Aidan Gould, Zachary Yun, Jaideep Ray, Cosmin Safta, Tarek Zohdi

“…However, current methods frequently forgo calibration verification (a stand-alone process evaluating the calibration procedure) and instead use overall model validation (a process comparing calibrated model results to data) to check calibration processes, which may conceal errors in calibration. In this work, we develop a stochastic agent-based disease spread model to act as a testing environment as we test two calibration methods using simulation-based calibration, which is a synthetic data calibration verification method. …”
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Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

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Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial by Thanh G. Phan, Velandai K. Srikanth, Dominique A. Cadilhac, Mark Nelson, Joosup Kim, Muideen T. Olaiya, Sharyn M. Fitzgerald, Christopher Bladin, Richard Gerraty, Henry Ma, Amanda G. Thrift

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