Elevation Error Prediction of Continuous Beam Cantilever Construction Phase Based on LS-SVM by Xilong Zheng, Yunfeng Hu, Baitao Sun

“…According to the construction of long-link continuous beam bridge, I choose field measured data as research samples and establish an elevation error prediction model by dealing samples, selecting the kernel function, selecting parameters, training, and predicting. …”
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Impact of Anchoring, Herding and Loss-Aversion on Working Women’s Investment Decision-Making by H. Srivastava, S. Moid, N. J. Rushdi

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Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…Therefore, this paper studies the use of the You Only Look Once series algorithm and the use of the regression network general target tracking algorithm to improve the detection and tracker part of the track-learning-detection algorithm. At the same time, three strategies for the attention mechanism, multi-level feature fusion, and regional overlap loss function are introduced to improve the visual tracking model. …”
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COMPARATIVE ANALYSIS OF DOUBLE DEEP Q-NETWORK AND PROXIMAL POLICY OPTIMIZATION FOR LANE-KEEPING IN AUTONOMOUS DRIVING by Ariful Islam Sabbir

“… Lane-keeping is a vital function in autonomous driving, important for vehicle safety, stability, and adherence to traffic flow. …”
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High intensity exercise before sleep boosts memory encoding the next morning by Daniela Ramirez Butavand, Juliane Nagel, Gordon B. Feld, Simon Steib

“…These results provide first evidence that acute exercise can affect learning processes even hours after it occurs.…”
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Spectral peak analysis and intrinsic neural timescales as markers for the state of consciousness by Ezequiel Pablo Espinosa, Di Zang, Andrea Buccellato, Zengxin Qi, Xuehai Wu, Samira Abbasi, Yasir Catal, Stephan Lechner, Federico Zilio, Georg Northoff

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Gut microbiota, serum metabolites, and lipids related to blood glucose control and type 1 diabetes by Zhaohe Gu, Lanxin Pan, Huiling Tan, Xulin Wang, Jing Wang, Xueying Zheng, Jianping Weng, Sihui Luo, Tong Yue, Yu Ding

“…We aimed to use multi‐omics sequencing technology and machine learning (ML) approaches to investigate potential function and relationships among the gut microbiota, lipids, and metabolites in T1D patients at varied glycemic levels. …”
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FIBCD1 is an endocytic GAG receptor associated with a novel neurodevelopmental disorder by Christopher W Fell, Astrid Hagelkruys, Ana Cicvaric, Marion Horrer, Lucy Liu, Joshua Shing Shun Li, Johannes Stadlmann, Anton A Polyansky, Stefan Mereiter, Miguel Angel Tejada, Tomislav Kokotović, Venkat Swaroop Achuta, Angelica Scaramuzza, Kimberly A Twyman, Michelle M Morrow, Jane Juusola, Huifang Yan, Jingmin Wang, Margit Burmeister, Biswa Choudhury, Thomas Levin Andersen, Gerald Wirnsberger, Uffe Holmskov, Norbert Perrimon, Bojan Žagrović, Francisco J Monje, Jesper Bonnet Moeller, Josef M Penninger, Vanja Nagy

“…Together, we identified FIBCD1 as an endocytic receptor for GAGs in the brain ECM and a novel gene associated with an NDD, revealing a critical role in nervous system structure, function and plasticity.…”
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Manajemen Perpustakaan Madrasah Ibtidaiyah Negeri 1 Rejang Lebong by Murniyanto Murniyanto

“…In the learning activities need to use a library as a way to make the students become smart, so the library functions to motivate the students, support learning activities, and help the students in achiving the goals of education in the school. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…Graph NPs show competitive performance in few-shot learning tasks relative to supervised learning baselines common in chemoinformatics, as well as alternative techniques for transfer learning and meta-learning. …”
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Perception of Space in the Traditional and Virtual Classroom by T. G. Nikitina

“…The study of this issue is based on the psychological approach to the perception of virtual space as a model of physical space and on understanding the importance of this research area due to the development of distant forms of learning: though, the problems of virtual space functioning in the perception of students and its impact on learning efficiency still remain unexplored. …”
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Die ontwikkeling van pastoraal-narratiewe mentorskapbeginsels as effektiewe leerbenadering by M. Fourie, J.-A. van den Berg

“…Learning is essential for the effective functioning of an individual. …”
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Sexual distress with partnered face-to-face sexual activity: an exploratory qualitative study with heterosexual cis people who seek and do not seek professional help by Patrícia M. Pascoal, Patrícia M. Pascoal, Patrícia M. Pascoal, Patrícia M. Pascoal, Gerhard Andersson, Gerhard Andersson, Gerhard Andersson, Gerhard Andersson, Vinicius J. Fischer, Vinicius J. Fischer, Andreia A. Manão, Cátia Oliveira, Catarina F. Raposo, Catarina F. Raposo, Pedro J. Rosa, Pedro J. Rosa, Magda Sofia Roberto, Graça Santos, Nuno Tomada, Nuno Tomada, Annamaria Giraldi, Annamaria Giraldi

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MODELS OF DISTANCE EDUCATION OF CHILDREN WITH DISABILITIES IN RUSSIA by I. V. Suvorova

“…They give the necessary informational and methodological support to the distance education centers, organized for coordinating and guaranteeing the distance learning of children with disabilities; the main functions of the centers and the distance education models being outlined. …”
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ESMII-Net: An edge-synergy and multidimensional information interaction network for remote sensing change detection by Yixin Chen, Xiaogang Ning, Ruiqian Zhang, Hanchao Zhang, Xiao Huang, You He

“…Furthermore, during the loss function formulation, we have incorporated a Small Object Enhancement Factor (SOEF) to prioritize small object detection. …”
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Discrete Sizing Optimization of Steel Structures Using Modified Fireworks Algorithm by Navid Seraji, Mehdi Babaei

“…Also, its amplitude is changed into a dynamic one to enhance its compatibility with different optimization problems. The function we are focusing on is the total weight of the structure. …”
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Unveiling the biological effects of radio-frequency and extremely-low frequency electromagnetic fields on the central nervous system performance by Ramin Eskandani, Mohammad Ismail Zibaii

“…Moreover, ELF-EMR exposure alters hippocampal function, notch signaling pathways, the antioxidant defense system, and synaptic activities. …”
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Neurotechnology for enhancing human operation of robotic and semi-autonomous systems by William J. Tyler, William J. Tyler, Anusha Adavikottu, Christian Lopez Blanco, Archana Mysore, Archana Mysore, Christopher Blais, Marco Santello, Avinash Unnikrishnan

“…Recent evidence demonstrating that different noninvasive neuromodulation and neurofeedback methods can improve critical executive functions such as attention, learning, memory, and cognitive control is reviewed. …”
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A coarse-grained elastic network atom contact model and its use in the simulation of protein dynamics and the prediction of the effect of mutations. by Vincent Frappier, Rafael J Najmanovich

“…Two critical components of NMA methods are coarse-graining in the level of simplification used to represent protein structures and the choice of potential energy functional form. There is a trade-off between speed and accuracy in different choices. …”
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A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…Vehicle path planning is one of the effective ways to alleviate such pressure. Deep reinforcement learning (DRL), as a state-of-the-art solution method in vehicle path planning, can better balance the ability and complexity of the algorithm to reflect the real situation. …”
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