Longitudinal Invariance Testing Of The Knee Injury Osteoarthritis Outcome Score For Joint Replacement Scale (KOOS-JR) by Alexandra Dluzniewski, Caleb Allred, Madeline P Casanova, Jonathan D Moore, Adam C Cady, Russell T Baker

“… # Methods Longitudinal data extracted from the Surgical Outcome System (SOS) database of 13,470 knee pathology patients who completed the KOOS-JR at baseline, three-months, six- months, and one-year. …”
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Enhancing Joint Probability of Maxima Method Through ENSO Integration: A Case Study of Annapolis, Maryland by Paul F. Magoulick, Li P. Sung

“…This study advances coastal flood risk assessment by incorporating El Niño–Southern Oscillation (ENSO) phase information into the Joint Probability of Maxima Method (ENSO-JPMM) for extreme water level prediction in Annapolis, MD. Using data from GLOSS/Extended Sea 135 Level Analysis Version 3 (GESLA-3) dataset and water level records from 1950–2021, we demonstrate that ENSO phases significantly affects flood risk probabilities through their influence on mean sea level, astronomical tides, and skew surge components. …”
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Spillovers between cryptocurrencies, gold and stock markets: implication for hedging strategies and portfolio diversification under the COVID-19 pandemic by Ahlem Lamine, Ahmed Jeribi, Tarek Fakhfakh

“…First, the authors used a static analysis to calculate the return and volatility spillover indices. …”
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MATHEMATICAL MODEL OF DENGUE HEMORRHAGIC FEVER SPREAD WITH DIFFERENT LEVELS OF TRANSMISSION RISK by Faishal Farrel Herdicho, Nabil Azizul Hakim, Fatmawati Fatmawati, Cicik Alfiniyah, John Olajide Akanni

“…The GA approach achieved a mean absolute percentage error (MAPE) of , ensuring high accuracy in parameter values. …”
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Developing Experimental Competency in Pre-Service Physics Teachers with An Inquiry-Based Approach by Thanh Loan Nguyen, Van Bien Nguyen, Ngoc Chat Tran

“…Furthermore, based on the test results along with survey findings and spider diagram analysis showed that this procedure developed relatively stable most of the behavioral indicators except for two behavioral indicators such as “Proposing ideas to improve experimental instruments” and “Proposed measures to reduce error” of pre-service physics teachers.…”
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Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

“…Performance was rigorously assessed using correlation analysis, error metrics (RMSE, MAE, RBIAS), and spatial regression. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…Traditional diagnosis of kidney cancer requires manual examination and analysis of histopathology images, which is time-consuming, error-prone, and depends on the pathologist’s expertise. …”
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Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting by He Huang, Difei Deng, Liang Hu, Yawen Chen, Nan Sun

“…In recent years, deep learning (DL) has emerged as a promising alternative, offering data-driven modeling capabilities for capturing nonlinear spatiotemporal patterns. …”
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The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews. by Rebecca M Turner, Sheila M Bird, Julian P T Higgins

“…<h4>Background</h4>Most meta-analyses include data from one or more small studies that, individually, do not have power to detect an intervention effect. …”
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Risk Assessment of Polar Drillship Operations Based on Bayesian Networks by Qi Wang, Zixin Wang, Hongen Li, Xiaoming Huang, Qianjin Yue, Xiufeng Yue, Yanlin Wang

“…Additionally, corresponding decision-making recommendations are provided through sensitivity analysis. The three most sensitive elements to fire nodes are human error, other causes, and equipment damage, with sensitivity coefficients of 0.046, 0.042, and 0.022, respectively. …”
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Using machine learning to identify key predictors of maternal success in sheep for improved lamb survival by Ebru Emsen, Bahadir Baran Odevci, Muzeyyen Kutluca Korkmaz

“…The Random Forest model achieved the highest accuracy (67.2%) and demonstrated the best overall performance with a 0.41 Kappa statistic and the lowest mean absolute error (0.59). Feature importance analysis identified dam weight at birth, parturition duration, and lamb birth weight as the strongest predictors of maternal success. …”
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Improving the quality of SAR radar image detection and identification using neural network to increase the security factor of military tactics by ali alizade, Jalil Mazloum, behrang hadian, ahmad dolatkhah, behnam dorostkar

“…According to the nature of formation of artificial aperture radar images, the presence of speckle noise is the most important factor in destroying the quality of these images and making a decision error.Method: Therefore, it is very important to have a pre-processing stage in order to reveal and identify the data and reduce the spot noise. …”
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Factors associated with carotid plaque burden in the adult general population by V. S. Kaveshnikov, I. A. Trubacheva, V. N. Serebryakova

“…The study of relationships was carried out using linear and log-linear models. An error probability &lt;5% was considered significant.Results. …”
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Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a Neural network and water classification system by Tianle Yao, Tianjie Zhan, Jilin Men, Lan Zhang, Liqiao Tian

“…In low- and mid-latitude regions, the Relative Percentage Difference (RPD) between our algorithm and NASA’s remains within ± 5%, whereas in coastal and polar regions the RPD rises to 20% or more, suggesting that the results in these regions need to be revisited. Moreover, an analysis of 20 years of MODIS data demonstrate that Kd_NN offers substantial improvements over NASA’s method, which underestimates Kd(490) by about 33% in China’s coastal waters. …”
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Modeling the Land Surface Phenological Responses of Dominant Miombo Tree Species to Climate Variability in Western Tanzania by Siwa E. Nkya, Deo D. Shirima, Robert N. Masolele, Henrik Hedenas, August B. Temu

“…We used TIMESAT version 3.3 software and the Savitzky–Golay filter to derive phenology metrics from bi-monthly PlanetScope Normalized Difference Vegetation Index (NDVI) data from 2017 to 2024. A repeated measures Analysis of Variance (ANOVA) assessed differences in phenology metrics between species, while a regression analysis modeled the Start of Season (SOS) and End of Season (EOS). …”
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Research on Simulation and Dynamic Pressure Prediction of Pipeline Transient Conditions Based on Fluent and Deep Learning by Liu Feiyan, Lv Mou, Dong Shen, Li Hang, Lu Chenggang

“…To solve this problem, a transient hydraulic model of pipeline failure is established based on the Navier-Stokes equations, the finite volume method and the hydrodynamic control equations, which is solved by the finite element analysis method to realize the pipeline transient pressure simulation and transient characteristic analysis. …”
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Development of a Fire Risk Assessment Program for Submerged Tunnels by Suk-Min Kong, Hyo-Gyu Kim, Ho-Hyeong Lee, Seong-Won Lee

“…As a result, the total risk error rate was 0.4% for road tunnels and within 5.0% for railway tunnels, showing similar levels of results. …”
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Intra-rater Reliability of a Qualitative Landing Scale for the Single-Hop Test: A Pilot Study by Maxime V. Measson, Matthew P. Ithurburn, Alexandre JM. Rambaud

“…# Background The test battery classically used for return-to-sport (RTS) decision-making after anterior cruciate ligament (ACL) reconstruction (ACLR) may not be sufficient, as it does not include a qualitative analysis of movement. Therefore, the Landing Error Scoring System (LESS) scale was adapted to a primary functional test in the typical RTS test battery: the single leg hop for distance (SHD)…”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…Saccade error was used as a behavioral index of WM performance. …”
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Wireless Sensor Networks for Urban Development: A Study of Applications, Challenges, and Performance Metrics by Sheeja Rani S., Raafat Aburukba, Khaled El Fakih

“…This paper emphasizes how WSNs are pivotal in realizing smart cities by enabling real-time data collection, analysis, and communication among interconnected systems. …”
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