Characteristics and Influencing Factors of Cropland Function Trade-Off in Highly Urbanized Areas: Insights from the Yangtze River Delta Region in China by Jieyi Tao, Jinhe Zhang, Ping Dong, Yuqi Lu, Xiaobin Ma, Zipeng Zhang, Yingjia Dong, Peijia Wang

“…Taking the Yangtze River Delta region as the study area, this paper developed a cropland function evaluation system from the production–ecology–living perspective, identified the spatial and temporal changes in cropland function trade-offs through Wavelet analysis and Root mean square error, and explored the driving factors of the trade-offs by using GeoDetector. …”
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Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization by T.D. Dongale, K.G. Kharade, N.B. Mullani, G.M. Naik, R.K. Kamat

“…We measure the performance of the ANN model with regard to mean square error (MSE) and the correlation coefficient between expected output and output provided by the network. …”
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<span style="font-variant: small-caps">EpiInfer</span>: A Non-Markovian Method and System to Forecast Infection Rates in Epidemics by Jovan Kascelan, Ruoxi Yang, Dennis Shasha

“…Doing so would reduce relative Root Mean Squared Error (RMSE) over any state of the art method by up to a factor of 4. …”
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Study of the possibility of producing semi-hard cheeses from frozen goat’s milk by V. A. Mordvinova, G. M. Sviridenko, I. L. Ostroukhova, D. V. Ostroukhov

“…The level of syneresis was (55±2)% in the control, (55±6)% — in the test versions and was in the range of error of the method. The degree of transition of dry matter to whey was: in the control — (7.26±0.21)%, in the test — (7.21±0.32)%. …”
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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

“…Results show that neural networks (NNs), particularly deep learning (DL), continuously reduce the mean square error (MSE) as the length of the set increases. They quickly outperform LR, even in sets near the undersampling condition with low SNR. …”
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Numerical and Experimental Study on Deicing of Wind Turbine Blades by Electric Heating Under Complex Flow Field by Jianwei Li, Panpan Yang, Xuemei Huang, Leian Zhang, Jinghua Wang

“…The peak steady-state temperature of the continuous heating mode is 24.2 °C, and the deviation from the simulation result is only 2.8 °C, which is within the acceptable error range, effectively verifying the reliability of the numerical calculation model established.…”
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Influence of Clay on Solute Transport in Saturated Homogeneous Mixed Media by Albert Kwame Kwaw, Zhi Dou, Jinguo Wang, Yuting Zhang, Xueyi Zhang, Wenyuan Zhu, Portia Annabelle Opoku

“…As the fraction of clay increased, the global error of ADE fits also increased, affirming the inefficiency of ADE in capturing the clay-induced non-Fickian behaviour. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…The following results were obtained: demonstrates the reduction of the word error level descriptor by almost 1.5 times, which influences the quality of word recognition from the audio and may potentially lead to obtaining higher-quality output text data. …”
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Modeling Triatomic Biosignatures: Ozone and Isotopomers by Thomas M. Cross, David M. Benoit, Marco Pignatari

“…This is combined with thermal profile modeling for the rotational transitions. We have found that this extended method performs well, typically approximating the spectroscopic constants with errors of less than 2%. …”
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Scientific and technical translation training in the conditions of electronic information and educational environment in the construction university by V. N. Smirnova

“…Practical assessment of violations of scientific and technical translation allowed describing the quantitative ratio of categories of errors with a predominance of semantic inaccuracies over semantic distortions, which demonstrates an increased level of formation of students’ linguistic translation competence.Conclusion. …”
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Sidewalk thermal comfort in street canyon and role of pavements under perpendicular sun rays during summer by D. Jareemit, M. Srivanit

“…Field data validation showed acceptable errors (R² = 0.91, normalized mean square error = 0.17).FINDINGS: For an east-west-oriented deep street canyon with direct overhead sunlight in summer, low-albedo materials for road and sidewalk surfaces are recommended to enhance thermal comfort. …”
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Patient Participation in Healthcare Safety Practices: A Scoping Review by Shabnam Ghasemyani, Kobra Movalled, Shafi Habibi, Rahim Khodayari Zarnaq

“…Five key areas of patient participation were identified: fall prevention, prevention of drug interactions, medical error prevention and awareness, participation in infection control and staff hand hygiene, and educational initiatives. …”
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Wheel flat detection using long short-term memory and transformer models with a 1:10 scale railway test rig by Yong Cui, Euiyoul Kim, Shizhe Yan, Qing Yu

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Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

“…The multi-task learning framework allows for mutual error correction between tasks, resulting in higher accuracy and robustness compared to single-task models. …”
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Enhanced Edge Feature Fusion and Visual State Space for Precise Detection of Switch Tip Close Fitting by Chang Zhengtang, Lan Xiangui, Lai Yihui

“…Current methods primarily rely on manual on-site measurements, which are time-consuming and prone to errors. To address this, we propose DU-Net, an improved image segmentation and detection algorithm based on the U-Net model. …”
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Assessment of Patient Safety Culture in Primary Health Care Settings in Kuwait by Maha Mohamed Ghobashi, Hanan Abdel Ghani El-ragehy, Hanan Mosleh Ibrahim, Fatma Abdullah Al-Doseri

“…</p><p><strong>Results</strong>: Five safety dimensions with lowest positivity (less than 50%) were identified and these are; the non – punitive response to errors, frequency of event reporting, staffing, communication openness, center handoffs and transitions with the following percentages of positivity 24%, 32%, 41%, 45% and 47% respectively. …”
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Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images by Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu

“…Compared with the landmarks identified by endoscopists, the proposed method demonstrated an average transition time error of 16.2 s to locate the intersection of the stomach and small intestine, as well as 13.5 s to locate that of the small intestine and the large intestine, based on the 20 validation videos with an average length of 3261.8 s. …”
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A Comparison among Score Systems for Discharging Patients from Recovery Rooms: A Narrative Review by Khadija El Aoufy, Carolina Forciniti, Yari Longobucco, Alberto Lucchini, Ilaria Mangli, Camilla Elena Magi, Enrico Bulleri, Cristian Fusi, Paolo Iovino, Pasquale Iozzo, Nicoletta Rizzato, Laura Rasero, Stefano Bambi

“…Next-generation scores must be improved to ease their use, minimize errors, and increase safety. The main goals of the scores included in this narrative review were to be simple to use, feasible, intuitive, comprehensive, and flexible. …”
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Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks by Zhou Li, Junhao Li, Jiahao Tian, Shiqi Xia, Kai Li, Guanqiao Su, Yao Lu, Mengyuan Ren, Zhengyi Jiang

“…Taking a typical cantilever beam TPMS structure as an example of nonlinear gradient design, the results indicate that the error between the ANN-predicted and FE-simulated structure topology element densities is only 2.73 %, with prediction time being only 0.15 % of the simulation time. …”
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Surface circulation characterization along the middle southern coastal region of Vietnam from high-frequency radar and numerical modeling by T. H. Tran, T. H. Tran, A. Sentchev, T. To Duy, M. Herrmann, S. Ouillon, S. Ouillon, K. C. Nguyen

“…Both methods achieved a significant reduction (<span class="inline-formula">∼</span> 36 %–40 %) in the error of the surface current velocity fields compared to the measured data. …”
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