Ecological footprint analysis as a tool for advancing sustainable development goals (SDGs): Evidence from China by Jie Wu, Haozhe Yu, Ning Cao, Jing Zhang, Jawad Khan, David lee

“…Using time series data from 1995 to 2023, the study applies a Vector Error Correction Model (VECM), Autoregressive Distributed Lag (ARDL) analysis, and Fully Modified Ordinary Least Squares (FMOLS) to capture both long-term equilibrium and short-run dynamics. …”
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Anomaly Detection for PV Modules Using Multi-Modal Data Fusion in Aerial Inspections by Lourenco Sousa Pinho, Tiago Daniel Sousa, Celso D. Pereira, Andry M. Pinto

“…Solar energy is a compelling and growing avenue for transitioning towards reliance on sustainable and environmentally friendly energy sources. …”
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Robust Forward-Looking Sonar-Image Mosaicking Without External Sensors for Autonomous Deep-Sea Mining by Xinran Liu, Jianmin Yang, Changyu Lu, Enhua Zhang, Wenhao Xu

“…Existing mosaicking methods typically rely on external sensors or controlled laboratory conditions, often failing to account for the high levels of uncertainty and error inherent in real deep-sea environments. Consequently, their performance during sea trials tends to be unsatisfactory. …”
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Environmental Taxes and Sustainable Development in the EU: A Decade of Data-Driven Insights by Branimir Kalaš, Vera Mirović, Dragana Bolesnikov, Seyi Saint Akadiri, Magdalena Radulescu

“…In the short run, none of the tax variables show significant effects, although pollution tax revenues have a transitional impact of 0.196. The error correction term of −1.321 confirms a strong long-run adjustment, reinforcing the gradual economic benefits of environmental taxation. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…However, it reveals notable biases and underrepresented variability during transitional seasons. Taylor diagrams and error metrics further emphasize ERA5’s challenges in capturing localized dynamics influenced by land-sea interactions. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Results show that the error of systolic blood pressure (SBP) and diastolic blood pressure (DBP) in server-based computing are 2.64 ± 9.71 mmHg and 1.52 ± 6.32 mmHg, and in edge computing are 2.2 ± 10.9 mmHg and 1.87 ± 6.79 mmHg. …”
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…Specific results are shown below: Numerous algorithmic predictions show the ensemble learning algorithm with the smallest error explained 71% of the ECa spatial variability. …”
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Continuous wave mud pulse data transmission method based on continuous gradation frequency keying modulation and Convolution neural network demodulation by Yingzhong Zhu, Zhenhua Xia, Yue Yang, Cihao Zhu, Guoqing Cai, Shuang Hu, Junhao Wang

“…Physical tests show that CGFK, particularly when assisted by CNN demodulation, possesses the capability to avoid or reduce ISI caused by motor inertia, and achieves favorable information transmission rates and bit error rate (BER) compared to traditional FSK and PSK.…”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

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Models of early stages of design of trunk-route passenger airplanes with taking families into account by P. V. Zhuravlev, V. N. Zhuravlev

“…The advancement of design, modeling and manufacturing methods allowed transitioning from allocating these reserves as means for possible error compensation to their planning or management. …”
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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…Reconstruction performance was assessed using Pearson's correlation coefficient and root mean squared error (RMSE) across various input lead configurations, ranging from single to quintuple inputs. …”
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Association Analysis of Benzo[<i>a</i>]pyrene Concentration Using an Association Rule Algorithm by Minyi Wang, Takayuki Kameda

“…The clustering performance was enhanced by optimizing the K-means method using the sum of squared error. The efficiency and reliability of the traditional Apriori algorithm were enhanced by restructuring its candidate itemset generation process, specifically by (1) generating C₂ exclusively from frequent itemset L₁ to avoid redundant database scans and (2) implementing the iterative pruning of nonfrequent subsets during L_k → C_k+1 transitions, adding the lift parameter, and eliminating invalid rules. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Integrated with an FFT-OFDM transmission system, it clearly outperforms the DCT-OFDM variant in terms of noise robustness and bit error rate reduction, paving the way for secure, high-performance communications.…”
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Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic by R. Shenbagalakshmi, Shailendra Kumar Mittal, J. Subramaniyan, V. Vengatesan, D. Manikandan, Krishnaraj Ramaswamy

“…The results show that FLC produces smooth speed transitions, no overshoot, and zero steady-state error with a settling time of only 0.05s, as in contrast to 0.1s for the PID controller. …”
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Development and Validation of Bioanalytical LC–MS/MS Method for Pharmacokinetic Assessment of Amoxicillin and Clavulanate in Human Plasma by Sangyoung Lee, Da Hyun Kim, Sabin Shin, Jee Sun Min, Duk Yeon Kim, Seong Jun Jo, Ui Min Jerng, Soo Kyung Bae

“…Intra- and inter-day’s coefficients of variation, indicating the precision of the assay, were ≤7.08% for amoxicillin and ≤10.7% for clavulanate, and relative errors in accuracy ranged from −1.26% to 10.9% for amoxicillin and from −4.41% to 8.73% for clavulanate. …”
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Measurement of the dynamic axial load-share ratio in vivo could indicate sufficient callus healing in external fixators by Xuefei Fu, Sida Liu, Na Wang, Yi Ji, Lin Lu, Tao Chen, Mingyong Gu, Zhiwei Chai, Defu Yu, Yancheng Liu, Jun Miao

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Anisotropy in the Creep–Fatigue Behaviors of a Directionally Solidified Ni-Based Superalloy: Damage Mechanisms and Life Assessment by Anping Long, Xiaoshan Liu, Lei Xiao, Gaoxiang Zhang, Jiangying Xiong, Ganjiang Feng, Jianzheng Guo, Rutie Liu

“…The modified creep–fatigue life prediction model, incorporating strain energy dissipation and stress relaxation mechanisms, demonstrates an accurate fatigue life prediction under creep–fatigue coupling, with a prediction accuracy within an error band of 1.86 times.…”
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A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…The C-index and the mean prediction error of the cross validation are better than the static RMST model. …”
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A multiscale crystal plasticity-multistage fatigue coupling framework for prediction of low-cycle fatigue life in laser additively manufactured titanium alloy by Ning Guo, Jiang Yu, Qingjun Zhou, Jilai Wang, Guangchun Xiao, Bingtao Tang, Zhongguo Zhang

“…The validity of the proposed framework was tested against strain-life curves, demonstrating a mean prediction error about 4.6% across a range of strain amplitudes (0.4%–1.2%). …”
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…The method utilises local error estimates to refine the solution domain, adapting to the solution characteristics: fine refinement is used in areas of steep gradients, discontinuities, and fuzzy transitions, while coarse refinement is used everywhere else. …”
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