Development of an Integrated Human-Computer Interactive Model for Improved User Experience in Gesture-Controlled Smart Mirrors by Ayorinde Joseph Olanipekun, Olubusola Olufunke Nuga, Peter Olamide Onabanjo, Emmanuel Uchechukwu Ogbodo, Samuel Blessing Owusu

“…Other performance indicators like error rate, average user satisfaction, device uptime and gesture latency were tested. …”
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Identifying Wet Troposphere Delay in L‐Band InSAR Using Weather Radar Reflectivity by Talib Oliver‐Cabrera, Cathleen E. Jones, Marc Simard, Bhuvan Varugu, Saoussen Belhadj‐Aissa

“…Abstract Synthetic Aperture Radar (SAR) pulses undergo variable propagation delays in the atmosphere due to changes in pressure, temperature, and humidity within the troposphere, causing large error in Interferometric SAR (InSAR) measurements of land surface displacement. …”
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Estimation of diurnal emissions of CO₂ from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar by X. Zhang, H. Yang, L. Bu, Z. Fan, W. Xiao, B. Chen, L. Zhang, S. Liu, Z. Wang, J. Liu, W. Chen, X. Lee

“…The correlation coefficient between the model fits and satellite observations ranges from 0.49 to 0.88, and the overall relative random error in the estimates is 15.11 %. This paper also analyses the diurnal differences in CO<span class="inline-formula">₂</span> emissions from power plants and finds emission fluctuations directly correlated with regional electricity demand dynamics. …”
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Epidemiological insights into canine rabies in Chennai: Trends, forecasting and One Health implications by Viswanathan Naveenkumar, Mangalanathan Vijaya Bharathi, Porteen Kannan, B.S. Pradeep Nag, Sureshkannan Sundaram, Nithya Quintoil Mohanadasse, Raghavendra G. Amachawadi, Muskan Dubey, Charley A. Cull, Chandan Shivamallu, Shiva Prasad Kollur, Ravindra P. Veeranna

“…Change point and time series analyses were conducted and forecasting models were evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Scaled Error (MASE) metrics. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…To summarize, the findings highlight that the AR coefficient sensitivity combined with improve sparse regularization can effectively detect damage of large-scale structure, providing a feasible way to expand the application of the sensitivity-based method.…”
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CRAFTS for H i Cosmology. I. Data Processing Pipeline and Validation Tests by Wenxiu Yang, Laura Wolz, Yichao Li, Wenkai Hu, Steven Cunnington, Keith Grainge, Furen Deng, Shifan Zuo, Shuanghao Shu, Xinyang Zhao, Di Li, Zheng Zheng, Marko Krčo, Yinghui Zheng, Linjing Feng, Pei Zuo, Hao Chen, Xue-Jian Jiang, Chen Wang, Pei Wang, Chen-Chen Miao, Yougang Wang, Xuelei Chen

“…We also measure the H i emission of 90 galaxies with redshift z  < 0.07 and compare them with H i -MaNGA spectra, yielding an overall relative H i integral flux error of 16.7%. These results provide an important first step in assessing the feasibility of conducting cosmological H i detection with CRAFTS.…”
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Cross-cultural adaptation, validity, and reliability of the Danish version of the neurophysiology of pain questionnaire by Nikolaj Agger, Thor Andre Brøndberg Stæhr, Michael Skovdal Rathleff, Lene Baad-Hansen, Shellie Boudreau, David Høyrup Christiansen

“…Internal consistency was evaluated using Cronbach’s alpha, while test-retest reliability was determined using the intraclass correlation coefficient (ICC). Measurement error was analyzed using the standard error of measurement (SEM) and minimal detectable change (MDC). …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…An inversion model, developed based on the analysis of phase mutation points and interference extrema, demonstrates remarkable accuracy in locating the spatial coordinates of fracture endpoints. The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Athletes often experience performance anxiety, which creates attentional errors and underperformance. Attentional bias, where emotional stimuli influence decision-making, may also result in selective attention to negative information. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…In a benchmark scenario, the optimized model achieved a localization of 82.3% weighted accuracy within a prediction radius of 1 m, and the corresponding normalized error of the detected area was of less than 0.26%. …”
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Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study. by Kai Xiang Lim, Frühling Rijsdijk, Saskia P Hagenaars, Adam Socrates, Shing Wan Choi, Jonathan R I Coleman, Kylie P Glanville, Cathryn M Lewis, Jean-Baptiste Pingault

“…Among the many individual risk factors we simultaneously considered, our findings suggest that systematic detection and treatment of core psychiatric symptoms, including psychotic and impulsivity symptoms, may be beneficial among people at risk for self-harm.…”
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Bias in modeled Greenland Ice Sheet melt revealed by ASCAT by A. Puggaard, A. Puggaard, N. Hansen, R. Mottram, T. Nagler, S. Scheiblauer, S. B. Simonsen, L. S. Sørensen, J. Wuite, A. M. Solgaard

“…Biases, however, vary spatially between models and with compensating errors in different regions, suggesting that one RCM can sometimes represent the present-day surface across the entire ice sheet more effectively than the ensemble mean.…”
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Risk Factors for Multidrug-resistant Tuberculosis by Cleopas Martin Rumende

“…Many new cases of MDR-TB are created by physician’s errors related to drugs regimen, dosing interval and duration of treatment. …”
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Risk Factors for Multidrug-resistant Tuberculosis by Cleopas Martin Rumende

“…Many new cases of MDR-TB are created by physician’s errors related to drugs regimen, dosing interval and duration of treatment. …”
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Research on Monitoring Oceanic Precipitable Water Vapor and Short-Term Rainfall Forecasting Using Low-Cost Global Navigation Satellite System Buoy by Maosheng Zhou, Pengcheng Wang, Zelu Ji, Yunzhou Li, Dingfeng Yu, Zengzhou Hao, Min Li, Delu Pan

“…Additionally, a particle swarm optimization (PSO)-based BP Neural Network model for rainfall prediction achieves high precision, with an R² of 97.8%, an average absolute error of 0.08 mm, and an RMSE of 0.1 mm. The findings demonstrate the potential of low-cost GNSS buoy for monitoring atmospheric water vapor and short-term rainfall forecasting in dynamic marine environments.…”
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Reversible steganographic method based on interpolation by bivariate linear box-spline on the three directional mesh by Amine Benhfid, El Bachir Ameur, Youssef Taouil

“…The proposed work was also tested by steganalysis attacks; results show a low detectability rate. We find in the comparison that the proposed work surpasses the literature in the capacity of hiding with an equivalent level of imperceptibility.…”
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A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…Experimental results demonstrate that the proposed VMD-NLM-DWT approach achieves a maximum of 1.2 dB improvement in signal-to-noise ratio (SNR), an average 13% reduction in mean squared error (MSE), and 9% lower percent root mean square difference (PRD) compared to leading two-stage denoising methods. …”
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Ability and utility of the Physician Well-Being Index to identify distress among Chinese physicians by Zejun Li, Peng Pu, Min Wu, Xin Wang, Huixue Xu, Xiaoyu Zhang, Qijian Deng, Winson Fuzun Yang, Yueheng Liu, Qianjin Wang, Manyun Li, Yuzhu Hao, Li He, Yunfei Wang, Qiuxia Wu, Yi-Yuan Tang, Tieqiao Liu

“…Additionally, the PWBI score helped stratify physicians’ likelihood of reporting medical errors and turnover intention.Conclusions This study provides preliminary insights into the validity and utility of the 9-item PWBI as a screening tool for assessing distress and well-being among Chinese physicians, helping identify those at higher risk of medical errors or turnover. …”
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A machine learning method to monitor China's AIDS epidemics with data from Baidu trends. by Yongqing Nan, Yanyan Gao

“…Three criteria, the mean absolute percentage error, the root mean squared percentage error, and the index of agreement, are used to test the forecasting performance of the ANN method.…”
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A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome by Shen-Ao Liang, Tianxin Ren, Jiayu Zhang, Jiahui He, Xuankai Wang, Xinrui Jiang, Yuan He, Rajiv C. McCoy, Qiaomei Fu, Joshua M. Akey, Yafei Mao, Lu Chen

“…Abstract Background Leveraging long-read sequencing technologies, the first complete human reference genome, T2T-CHM13, corrects assembly errors in previous references and resolves the remaining 8% of the genome. …”
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