A linear oscillator model predicts dynamic temporal attention and pupillary entrainment to rhythmic patterns by Lauren K. Fink, Brian K. Hurley, Joy J. Geng, Petr Janata

“…An adaptive thresholding algorithm adjusted deviant in- tensity at multiple probed temporal locations throughout each rhythmic stimulus. …”
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Choosing Method for Qualitative and Quantitative Risk Analysis for Energy Enterprises by E. I. Tymul

“…The paper proposes a method for qualitative and quantitative analysis of all the risks that an energy enterprise may face in the process of energy generation. The approaches of various authors to the algorithm of qualitative risk analysis have been considered in the paper. …”
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Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

“…As the number of drugs increases, their targets and interactions generate imbalanced data, which may be undesirable as input to computational prediction model. …”
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Quantifying influence of rainfall events on outdoor thermal comfort in subtropical dense urban areas by Chih-Hong Huang, Ching-Hsun Wang, Shih-Han Chen

“…KEY POLICY HIGHLIGHTSRainfall events may affect outdoor thermal comfort in subtropical cities.Different rainfall weather patterns have different impacts on urban outdoor thermal environments.62.3% of rainfall weather patterns resulted in worsened thermal comfort, for low and concentrated rainfall resulting in a stuffier thermal environment.…”
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Enhancing drought prediction through machine learning: advanced techniques combining phenotypic and agrometeorological data by Efrem Yohannes Obsie, Yongguo Liu

“…However, as in most studies, drought monitoring that relies on unimodal data may not effectively capture the intricate nature of drought phenomena. …”
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Moving Toward Automated Construction Management: An Automated Construction Worker Efficiency Evaluation System by Chaojun Zhang, Chao Mao, Huan Liu, Yunlong Liao, Jiayi Zhou

“…This research makes contributions in terms of innovative methodology, a new model framework, and a comprehensive dataset, which may have potential implications for enhancing construction efficiency, supporting cost-saving strategies, and providing decision support in the future. …”
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Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

“…Various defects, such as irregularities of the railway track, may lead to emergencies and incidents. Therefore, it is important to measure and calculate short and impulse irregularities. …”
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An Ensemble Learning Model for Short-Term Passenger Flow Prediction by Xiangping Wang, Lei Huang, Haifeng Huang, Baoyu Li, Ziyang Xia, Jing Li

“…The goal is to use the integrated model to accurately predict the short-term passenger flow of urban public transportation, using Multivariable Linear Regression (MLR), K-Nearest Neighbor (KNN), eXtreme Gradient Boosting (XGBoost), and Gated Recurrent Unit (GRU) as the four seed models, and then use regression algorithm to integrate the model and predict the passenger flow, station boarding and landing, and cross-sectional passenger flow data of the typical representative line 428 in the “Huitian Area” of Beijing from January 1, 2020, to May 31, 2020. …”
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Three‐Dimensional Electrical Structure Beneath the Epicenter Zone and Seismogenic Setting of the 1976 Ms7.8 Tangshan Earthquake, China by Juntao Cai, Xiaobin Chen, Zeyi Dong, Yan Zhan, Zhongyin Liu, Tengfa Cui, Feng Jiang

“…Abstract Based on magnetotelluric array data and the three‐dimensional (3D) inversion algorithm, we obtain the 3D electrical structure of the 1976 Ms7.8 Tangshan earthquake zone. …”
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Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach by Jian Xiong, Chao Zhang, Gang Kou, Rui Wang, Hisao Ishibuchi, Fawaz E. Alsaadi

“…However, risk-averse investors, such as normal families, may concern appropriate long-term financial planning. …”
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Vulvar squamous cell carcinoma: The role of p53 and p16 immunohistochemistry by Helena M Obermair, James Elhindi, Alison Brand, Unine Herbst

“…Future research, like the STRIVE trial, may determine if implementation of p16 and p53 stratified management algorithm will improve outcomes for women with vulvar SCC (McAlpine, 2024).…”
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Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach by Subhagata Chattopadhyay, Amit K Chattopadhyay

“…Assimilating outcomes from five clustering techniques applied to the ‘Kaggle heart attack risk’ dataset, the study categorizes distinct subpopulations against varying risk profiles and then divides the population into ‘at-risk’ (AR) and ‘not-at-risk’ (NAR) groups using clustering algorithms. The GMM algorithm outperforms its competitors (with clustering accuracy and Silhouette coefficient scores of 84.24% and 0.2623, respectively). …”
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Temporal prediction and feedforward control in cerebellar ataxia during spontaneous, instructed, and adaptive auditory-motor coupling while walking by Lousin Moumdjian, Bart Moens, Mario Manto, Pierre Cabaraux, Bart Van Wijmeersch, Daphne Kos, Marc Leman, Peter Feys

“…The adaptive alignment algorithm may have compensated for feedforward impairments, thereby promoting enhanced synchronization and gait dynamics. …”
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AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game by Huale Li, Rui Cao, Xuan Wang, Xiaohan Hou, Tao Qian, Fengwei Jia, Jiajia Zhang, Shuhan Qi

“…Therefore, the proposed method may be applied to real-world scenarios, such as 3-dimensional navigation and automatic driving, which can improve the sample utilization to reduce the cost of interactive sample collected by the real equipment.…”
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Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…Through comprehensive analysis of these combined datasets, our objective is to elucidate the underlying molecular pathways governing periodontal disease progression, thereby identifying novel therapeutic targets that may facilitate the design of improved clinical interventions for this condition. …”
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TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research by William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piéchaud, Arnaud Méjean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

“…Inter-rater segmentation agreement was over 93% (Dice score), and gold-standard segmentations were generated using the STAPLE algorithm. Seven anatomical landmarks were annotated, for IMIR systems development and evaluation. …”
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Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes by Zhong Zhang, Ming Xu, Song Wang, Xin Guo, Jinfeng Gao, Aiguo Patrick Hu

“…By fusing global features from the classification token with local features from the encoder, the algorithm significantly enhances complex fault diagnosis. …”
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Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS by Ji-sun Kwon, Jihye Kim, Dougu Nam, Sangsoo Kim

“…The huge number of hits by i-GSEA4GWAS for the imputed dataset was probably an artifact due to the scaling step in the algorithm. The decrease in hits by GSA-SNP for the imputed dataset may be due to the fact that it relies on Z-statistics, which is sensitive to variations in the background level of associations. …”
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Vetoing all the Higgs imposters in $$H\rightarrow \ell ^-\ell ^+ Z$$ H → ℓ - ℓ + Z by Seong Youl Choi, Jaehoon Jeong, Dong Woo Kang

“…Abstract We develop an effective and methodical algorithm for the construction of general covariant four-point $$H\ell \ell Z$$ H ℓ ℓ Z vertices, accommodating leptons $$\ell =e, \mu $$ ℓ = e , μ , and designed to handle a boson H of any integer spin, not merely confined to spins up to 2. …”
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Cluster Policy Based on the Analysis of the Situation in the Municipality by Yu. N. Lapygin, D. V. Tulinova

“…These policies include cluster policy, which is gaining popularity when developing a strategy at the level of modern Russian regions, however, in some municipalities conditions may arise for the formation of a network of clusters. …”
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