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

“…NEXRAD's 5‐min scanning interval, compared to UAVSAR's 30‐min revisit time, enabled detection of phase artifacts caused by fast‐moving and developing clouds. …”
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Identification of intragenic variants in pediatric patients with intellectual disability in Peru by Hugo Hernán Abarca-Barriga, Flor Vásquez Sotomayor, Renzo Punil-Luciano, María Cristina Laso-Salazar, Heli Jaime Barrón-Pastor

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Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms by T. Ivanova, T. Ivanova, S. Porchetta, S. Porchetta, S. Buckingham, G. Glabeke, G. Glabeke, J. van Beeck, W. Munters

“…We focus on improving model output during storms impacting the Belgian–Dutch wind farm cluster located in the Southern Bight of the North Sea via the four-dimensional data assimilation (nudging) technique in the Weather Research and Forecasting (WRF) model. Our findings indicate that assimilating wind observations significantly reduces the relative root-mean-square error for wind speed at a wind farm located 47 km downwind from the offshore lidar platform. …”
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應用智慧型家教系統於國小學童閱讀策略 教學之學習歷程研究 A Study on the Learning Process of Applying an Autotutoring System to Teach Reading Strategies to Elementary School Children... by 陳茹玲 Ju-Ling Chen, 曾厚強 Hou-Chiang Tseng, 連啟舜 Chi-Shun Lien, 蔡旻穎 Min-Ying Tsai, 宋曜廷 Yao-Ting Sung

“…Future strategy instruction could incorporate demonstrations of self-assessment and error detection, supported by awareness scales that illustrate the effectiveness of comprehension monitoring. …”
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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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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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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

“…These findings confirm that the proposed method outperforms state-of-the-art alternatives in preserving both signal fidelity and clinically significant features under both stationary and non-stationary noise. …”
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Estimation of Tree Diameter at Breast Height (DBH) and Biomass from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia by Zibonele Mhlaba Bhebhe, Xiaoye Liu, Zhenyu Zhang, Dev Raj Paudyal

“…Model performance was assessed using five statistical metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), percentage bias (MBias), and the coefficient of determination (R<sup data-eusoft-scrollable-element="1">2</sup>). …”
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Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity by Ethel Siew Ee Tan, Hong Ming Tan, Kah Vui Fong, Sheryl Yu Xuan Tey, Nikita Rane, Chong Wei Ho, Zhao Yuan Tan, Rachel Jing Min Ong, Chloe Teo, Jerall Yu, Maxine Lee, An Rae Teo, Sin Kee Ong, Xin Ying Lim, Jin Lin Kee, Jussi Keppo, Geoffrey Chern-Yee Tan

“…DiscussionThese findings imply that task modifications such as utilising Likert-response options and the use of longer word lists may enhance the effectiveness of screening methods in both clinical and research settings, potentially improving early detection and intervention for depression.…”
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An exploratory network analysis to investigate schizotypy’s structure using the ‘Multidimensional Schizotypy Scale’ and ‘Oxford-Liverpool Inventory’ in a healthy cohort by Pierfrancesco Sarti, Werner Surbeck, Giacomo Cecere, Noemi Dannecker, Rahel Horisberger, Nils Kallen, Wolfgang Omlor, Anna Steiner, Dario Palpella, Marius Brandenberg, Victoria Edkins, Nicolas Langer, Johanna M. C. Blom, Philipp Homan

“…EGA was conducted to identify dimensional structures within each scale, utilising the graphical lasso algorithm for network estimation and the Walktrap community detection method for clustering. Confirmatory factor analysis was used to assess model fit and reliability, using indices such as the comparative fit index and root mean square error of approximation. …”
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Development of a 3D-Printed Chest Phantom with Simulation of Lung Nodules for Studying Ultra-Low-Dose Computed Tomography Protocols by Jenna Silberstein, Steven Tran, Yin How Wong, Chai Hong Yeong, Zhonghua Sun

“…The measurement error between patient and phantom scans was −0.03 ± 0.14 cm. …”
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Kinetics of the amino acid uptake tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) in human brain by Korbinian Krieger, Thomas Pyka, Clemens Mingels, Hasan Sari, Albert Gjedde, Axel Rominger, Paul Cumming

“…Abstract Background The large neutral amino acid [18F]fluoroethoxy-L-tyrosine ([18F]FET) is a popular tracer for detection and staging of intracranial tumors by positron emission tomography (PET). …”
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Mapping Subalpine Forest Aboveground Biomass in Qilian Mountain National Park Using UAV-LiDAR, GEDI, and Multisource Satellite Data by Yanyun Nian, Siwen Chen, Jie Chen, Minglu Che, Wenhui Zhang, Junejo Sikandar Ali, Hao Zhang, Xingbang Wang, Bingzhi Liao, Xufeng Wang

“…Key findings include the following: First, UAV-LiDAR-derived parameters, when integrated with a random forest model, effectively predict forest biomass at the sample plot level. …”
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Wearable Loop Sensors for Knee Flexion Monitoring: Dynamic Measurements on Human Subjects by Ian Anderson, Christopher Cosma, Yingzhe Zhang, Vigyanshu Mishra, Asimina Kiourti

“…These angles are then compared to gold-standard angles simultaneously captured by a light detection and ranging (LiDAR) depth camera using root mean square error (RMSE) and Pearson&#x0027;s correlation coefficient as metrics. …”
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Community participation in community-based surveillance of infectious diseases: A structural equation modeling approach based on the theory of reasoned action by Ahmed Azeez Hasan, Anis Kausar Ghazali, Norsa’adah Bachok, Najib Majdi Yacoob, Suhaily Mohd Hairon, Nur Amira M. Nadir, Fatimah Muhd Shukri

“…Background and Aim: Community-based surveillance (CBS) is a critical mechanism for early detection of infectious diseases. Understanding the behavioral drivers of CBS participation is essential to strengthening community engagement. …”
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Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite by Hassan Rasoulzadeh, Hossein Azarpira, Mojtaba Pourakbar, Amir Sheikhmohammadi, Alieh Rezagholizade-shirvan

“…Consequently, the Tikhonov model outperforms the Yandex Boosting model due to its higher accuracy and lower error rates, whereas Yandex Boosting, despite strong training performance, suffers from overfitting, leading to inferior testing performance. …”
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Forensic medical evaluation of fatal cases of gastrointestinal diseases as a marker of the quality of surgical care for children in Ukraine by А.М. Biliakov, B.V. Mikhailychenko, Ye.O. Rudenko

“…In contrast, the age group of 7–11 years in half of the studied period demonstrated zero mortality rates, which indicates a sufficient level of medical care. Conclusions. The findings among those who died from gastrointestinal diseases, which were the subject of a study by forensic experts, of the most vulnerable age groups of 12–18 years and 1–6 years indicate the need for special attention to the treatment of severe surgical cases, as well as the importance of timely detection of pathologies to prevent fatal outcomes. …”
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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…Model performance was evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) metrics across three sample sizes (25%, 50%, and 75%). …”
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Revision and validation of the Chinese version of the interpersonal reactivity index for couples for expectant couples by Juju Huang, Tengfei Liang, Jinzhi Li, Qiankun Liu, Jiaxue Pang, Yang Xu, Hui Xie

“…The translated scale also facilitates the early detection of couple empathy, providing a scientific foundation for the development of early personalized intervention strategies. …”
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