False data injection attack sample generation using an adversarial attention-diffusion model in smart grids by Kunzhan Li, Fengyong Li, Baonan Wang, Meijing Shan

“…In the reverse diffusion process, the trained ATTGAN model was combined to predict the noise, and it was further iterated forward step by step and denoised in this process. …”
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A new combined analytical–numerical probabilistic method for assessing the impact of DERs on the voltage stability of bulk power systems by Wanjoli, Paul, Moustafa, Mohamed M. Zakaria, Abbasy, Nabil H.

“…The Metropolis–Hastings sampling technique then estimates these posteriors numerically, enabling accurate predictions of DERs and load outputs. Voltage stability analysis was performed using the continuation power flow method and validated on the IEEE 59- bus test system in MATLAB/Simulink. …”
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Lifestyle as a Predictor of Socio-Economic Status in Retirement: Evidence from Pensioners from the Busoga Sub-Region, Uganda by Fabian, Mwosi, Charles, Edaku, Robina, Mirembe, Eton, Marus

“…Strong attachments to family and intimate relations during one’s working life predict a satisfying retirement life. Civil servants who avoid harmful substances and exercise regularly are likely to retire in good health. …”
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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

“…By incorporating soft labels and soft central region loss, our model is guided to prioritize high-quality, well-aligned predictions. We evaluate SCoralDet on the Soft-Coral dataset, achieving an inference latency of 9.52 ms and an mAP50 of 81.9. …”
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Evolution of precipitates during creep deformation for alloy 718 by Chanhee Park, Joonho Lee, Woo-Sang Jung

“…The creep rupture lives were decreased with increasing stresses and temperatures and showed a linear correlation between experimental data and Larson-Miller parameter curve predictions. The γ′′ phase was formed as a disc shape in the grain interior and had an orientation relationship of (001)γ′′//{001}γ and [100]γ′′//<100>γ with γ matrix. …”
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The Moderating Role of Self Silencing in Relationship Between Attachment and Marital Satisfaction in Married People by Parisa Moghadas sharif, zahra Abdekhodaie, Leili Panaghi

“…It was also concluded from the regression analysis that all attachment styles and self-silencing can predict marital satisfaction. The results of the moderated regression analysis indicated that the moderating effects of the Silencing the Self and Divided Self dimensions on the relationship between anxious attachment and marital satisfaction, as well as the moderating effects of the Self-Sacrifice and Self-Silencing dimensions on the relationship between avoidant attachment and marital satisfaction, are significant.Discussion and Conclusion: The results of this study indicate that varying levels of certain dimensions of self-silencing influence the relationship between attachment styles and marital satisfaction. …”
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Applying Machine Learning Techniques to Identify Undiagnosed Patients with Exocrine Pancreatic Insufficiency by Bruce Pyenson, Maggie Alston, Jeffrey Gomberg, Feng Han, Nikhil Khandelwal, Motoharu Dei, Monica Son, Jaime Vora

“…**Conclusions:** Machine learning techniques demonstrated high predictive power in identifying patients with EPI and could facilitate an enhanced understanding of its etiology and help to identify patients for possible diagnosis and treatment.…”
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Non-invasive prenatal testing in mitigating concerns from invasive prenatal diagnostic testing: retrospective assessment of utility in an academic healthcare system in the US by Kibum Kim, Linda Kaitlyn Craft

“…The order of NIPT was not selected as an independent variable predicting the use of IPD. Clinical characteristics indicating low socioeconomic status and limited healthcare coverage are associated with less use of NIPT and lower clinical utility.Conclusion Although prenatal care accepted NIPT over the last decade, the utility of NIPT in mitigating concerns on IPD is unclear and needs further investigation. …”
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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…Firstly, an atmospheric dispersion model is utilized to predict the distribution concentration of VOCs emitted by enterprises in the park at the target monitoring stations based on the ozone generation mechanism. …”
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Rail Corrugation Characteristics of Cologne Egg Fastener Section in Small Radius Curve by Zhiqiang Wang, Zhenyu Lei, Yang Zhao, Yao Xu

“…The variation range of the wear depth curve on outer rail is mainly changing from 0.0005 μm to 0.0008 μm, showing uniform wear. Combined with the predicted profile of rail wear, it can be seen that the inner rail mainly suffers from corrugation on the top of rail and the outer rail mainly suffers from uniform wear on the side, which results in serious corrugation on inner rail and slight corrugation on outer rail. …”
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Stable isotope ecology of Quaternary cervid and bovid species in Southeast Asia with implications for wildlife conservation by Sanah Shaikh, Hervé Bocherens, Kantapon Suraprasit

“…Abstract Southeast Asia, one of the major biodiversity hotspots, is experiencing substantial species loss, with predictions indicating that 13–85% of species are threatened to lose their original habitats. …”
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Platoon-Based Assessment of Two-Way Two-Lane Roads Performance Measure: A Classification Method by Hossein Samadi, Iman Aghayan, Amir Saman Abdollahzadeh Nasiri, Omid Rahmani, Mehrzad Hasanvand

“…Finally, the results regarding the developed model showed that the NFPC measure was able to predict the traffic flow of two-lane roads in a more satisfactory way compared to the two criteria, namely, PTSF and ATS in the Highway Capacity Manual (2016) since it increased ATS by 65% and decreased the capacity of two-lane roads by 21%.…”
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Correlation between SMADs and Colorectal Cancer Expression, Prognosis, and Immune Infiltrates by Ning Ding, Hongbiao Luo, Tao Zhang, Tianshu Peng, Yanru Yao, Yongheng He

“…Mutation rates of SMADs in CRC were determined by cBioPortal, and potentially related genes were predicted using GeneMANIA. R analysis was used to correlate immune cell infiltration in CRC. …”
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LEARNING ANALYTICS SYSTEMS TO IMPROVE THE QUALITY OF STUDENTS' OUTCOMES by Ali Alowayr

“…The analysed papers highlight the use of learning analytics for predicting student learning behaviours and identifying at-risk students who may benefit from targeted interventions. …”
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OSM May Serve as a Biomarker of Poor Prognosis in Clear Cell Renal Cell Carcinoma and Promote Tumor Cell Invasion and Migration by Shuzhang Wei, Yin Chen, Xiaokai Shi, Li Zuo, Lifeng Zhang

“…Also, the univariate and multivariate Cox analyses of clinical characteristics show that OSM in ccRCC may be able to predict a poor prognosis on its own as a biomarker. …”
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Overall Influence of Dedicated Lanes for Connected and Autonomous Vehicles on Freeway Heterogeneous Traffic Flow by Yanyan Chen, Hengyi Zhang, Dongzhu Wang, Jiachen Wang

“…Based on the characteristics that MVs should be decelerated by a realistic amplitude and that the connected and autonomous vehicle can accurately predict the speed of its preceding and rear CAVs at the next time step, a heterogeneous traffic flow model was established. …”
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Integrating Human Learning Factors and Bayesian Analysis Into Software Reliability Growth Models for Optimal Release Strategies by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…To overcome this issue, the proposed Bayesian approach utilizes prior knowledge from domain experts and integrates available software testing data to predict both the software&#x2019;s reliability and associated costs. …”
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Evaluation of Turbojet Engine with Water Injection for Aircraft Use as Controlled Object by Alexandru-Nicolae Tudosie, Mihai Lungu

“…The proposed method, based on the characterization of the engine as a controlled object (with and without coolant injection), can be very useful as a method of predicting the behavior of any turbojet when the addition of coolant injection system is desired; obviously, the appropriate modeling of both the turbojet and the injection system is necessary.…”
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Age Estimation in Children by the Measurement of Open Apices in Teeth: A Study in the Western Indian Population by Sanjana Manjrekar, Shantanu Deshpande, Farhin Katge, Romi Jain, Tejaswini Ghorpade

“…No statistically significant difference was found between the predicted and actual chronological age of children in the age group of 4–13 years using the regression equation for the Western Indian population. …”
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Resonant Frequency Modeling of Microwave Antennas Using Gaussian Process Based on Semisupervised Learning by Jing Gao, Yubo Tian, Xie Zheng, Xuezhi Chen

“…For microstrip antennas resonant frequency modeling problems, in the case of using the same labeled samples, its predictive ability is better than that of the traditional supervised GP model.…”
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