Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…The model selected by the theory has a good fit and prediction effect. The generation of different models has different mathematical characteristics of time series data, which also provides a basis for selecting models.…”
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Effect of metabolic syndrome on patient-reported outcome measures following lumbar fusion surgery: a longitudinal study with 24-month follow-up by Xuan Zhao, Wei Wang, Xiaolong Chen, Shibao Lu

“…The Wilcoxon signed-rank test and paired t-test were used to analyze differences in functional measurements across follow-up periods. Additionally, a generalized mixed-effects model was employed to analyze the longitudinal trajectories of PCS and MCS. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…This study is central to the fact that dataset features like resolution, surface complexity, and noise from the environment effect are crucial for the overall generalization of the models. …”
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Hybrid k-anonymity approach based on TDS and BUG under the environment of big data cloud by Xiaofeng FAN, Feng YAN, Yang LIU

“…As the issue of low efficiency and poor scalability in general sub-tree anonymous method of treating big data,a bottom-up generalization(BUG) method with scalability was proposed,and on this basis,combined with the existing top-down specialization(TDS),a hybrid approach was formed.In the proposed method,k-anonymity was being as a privacy model,the compositions of TDS and BUG were developed with mapping simplification,and higher scalability through powerful cloud computing capabilities were achieved.The proposed mapping simplification BUG could insert a new candidate after several cycles of generalization,and would not affect information loss of another generalization.Given the complexity of the relationship between workload balancing point K and anonymous parameter k,mapping simplifications of BUG and TDS were combined to form a hybrid approach.Experimental results demonstrate the effectiveness of the proposed method and compared with TDS and BUG,the efficiency and scalability of hybrid method are greatly improved.…”
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A sleep staging model based on adversarial domain generalized residual attention network by Pengwei Zhang, Sijia Xiang, Kailei Hu, Jialing He, Jingxia Chen

“…To solve the problem of poor generalization ability of the model on unknown data and the difference of physiological signals between different subjects. …”
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Extracting multilane roads from OpenStreetMap through graph convolutional neural network and road mesh relationship analysis by Andong Wang, Fang Wu, Xianyong Gong, Renjian Zhai, Yue Qiu, Yuyang Qi

“…Moreover, the object-level multilane detection precision and recall were 88.05% and 92.72% on the Chengdu dataset, and 86.99% and 91.37% on the Zhengzhou dataset, which demonstrates the proposed method effectively extracts multilane roads at the object level, aligning with real-world scenarios and human cognition.…”
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SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…In pig farming, multi-object tracking (MOT) algorithms are effective tools for identifying individual pigs and monitoring their health, which enhances management efficiency and intelligence. …”
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Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

“…The occurrence of class-imbalanced datasets is a frequent observation in natural science research, emphasizing the paramount importance of effectively harnessing them to construct highly accurate models for rockburst prediction. …”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…Conversely, large vision models, trained on extensive general-domain datasets, provide strong generalization but fall short in specialized medical applications due to domain mismatch and limited medical data availability.MethodsTo bridge the gap between general and specialized performance, we propose MedAlmighty, a knowledge distillation-based framework that synergizes the strengths of both large and small models. …”
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Learning Domain Generalized Remote Sensing Image Segmentation by Multiscale Instance Disentanglement by Jie Luo, Tianwen Luo, Maoyang Wang, Linyi Li, Wen Zhang, Lingkui Meng

“…In this article, we advance this bottleneck by introducing the domain generalization (DG) paradigm to remote sensing image segmentation. …”
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Ravulizumab for adults with generalized myasthenia gravis: a plain language summary of three studies by Florencia Aguirre, Renata Andrade

“…What is this summary about? Generalized myasthenia gravis (often shortened to gMG) is a rare health condition that causes muscular weakness. …”

Rheological, fat bloom, and sensory acceptability effects of mango kernel fat and palm olein blends on chocolate-flavored coatings by Nieves María Flores March, Gabriela Cristina Chire Fajardo, Carlos Eduardo Lescano Anadón

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Cost-effectiveness analysis of anaesthesia regimens for paediatric strabismus surgery based on multicentre retrospective cohort data from Japan by Soichiro Obara, Taiki Kojima, Yusuke Yamauchi, Takashi Fujiwara, Aya Sueda, Riku Takahashi

Subjects: “…cost-effectiveness analysis…”
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The effect of proprioceptive neuromuscular facilitation techniques compared to general aerobic exercise on balance, fear of falling, and quality of life in older adults living in nursing homes: a randomized controlled trial by Mehrnaz Kajbafvala, Mina Ansari Eshlaghi, Shabnam ShahAli, Fateme Pourkazem, Anahita Hejazi

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WCN25-2908 EFFECT OF DAPAGLIFLOZIN AT 12 MONTHS ON KIDNEY FUNCTION IN PATIENTS WITH GLOMERULAR DISEASE IN THE MAINTENANCE PHASE OF THE POPULATION OF THE REGIONAL GENERAL HOSPITAL 46 OF THE MEXICAN INSTITUTE OF SOCIAL SECURITY by Roxana Villanueva Macedo, Mario Valdez Avendaño, Javier Soto Vargas, Denisse Arellano Méndez, Renato Parra Michel., Mauro Gerardo Montemayor Villacobos, Rubén Lara Monterrubio, Fabiola Vanessa Ríos Ríos, Mónica Lizbeth Morales Guillen, Karen Ivette Cortes Montenegro, Sergio Ernesto Martínez Ortiz, David Juarez Flores, Juan Oziel Romero Tafoya, Maria Elena Gallardo Ramirez, Jose Jaime Gutierrez Perrez, Hugo Bonifacio Espinoza

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Exploring the effect of glabellar Botulinum toxin injections on symptoms of anxiety and depression: A pilot study from a cosmetic patient population by Michael K. Wolfe, Arisa Ortiz, Rona Z. Silkiss

“…This is the first study to our knowledge to examine the effect of glabellar BT on generalized anxiety. By tracking GAD-7 scores of a cosmetic population before and after receipt of glabellar BT, we observed a statistically significant decrease of anxious symptoms among patients who entered the study with a baseline level of clinical anxiety. …”
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Effect of PM2.5 and its constituents on hospital admissions for cardiometabolic multimorbidity in Urumqi, China by Di Wu, Cheng Li, Yu Shi, Junjie Han, Yaoqin Lu, Yilipa Yilihamu, Yanling Zheng, Liping Zhang

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Evaluation of reliability generalization of Conner-Davison Resilience Scale (CD-RISC-10 and CD-RISC-25): A Meta-analysis. by Ajele Kenni Wojujutari, Erhabor Sunday Idemudia, Lawrence Ejike Ugwu

“…This reliability generalization (RG) meta-analysis delves into evaluate the level of reliability generalization estimate of both CD-RISC-10 and CD-RISC-25 in assessing resilience across diverse populations and settings.…”
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Effects of congruent and incongruent appetitive and aversive well-being comparisons on depression, post-traumatic stress, and self-esteem by Emily N. Keppler, Nexhmedin Morina, Pascal Schlechter

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Patients' Perspectives on Participation in an Effectiveness Study on Footwear Modification for the First Metatarsophalangeal Joint Osteoarthritis: A Qualitative Study by Carla Braam, Sabine Kloprogge, Dieuwke Schiphof, Joyce B. J. vanMeurs, Sita M. A. Bierma‐Zeinstra, Marienke vanMiddelkoop

“…ABSTRACT Background The effectiveness of footwear modifications for the first metatarsophalangeal (MTP) joint osteoarthritis (OA) compared to usual general practitioner (GP) care has never been studied. …”
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