检索结果-内蒙古大学图书馆

arXiv 2025年

作者： de França, Fabrício Olivetti Center for Mathematics Computation and Cognition Federal University of ABC Av. dos Estados SP Santo Andre09210580 Brazil

The Transformation-Interaction-Rational is a representation for symbolic regression that limits the search space of functions to the ratio of two nonlinear functions each one defined as the linear regression of transformed variables. This representation has the main objective to bias the search towards simpler expressions while keeping the approximation power of standard approaches. The performance of using Genetic Programming with this representation was substantially better than with its predecessor (Interaction-Transformation) and ranked close to the state-of-the-art on a contemporary Symbolic Regression benchmark. On a closer look at these results, we observed that the performance could be further improved with an additional selective pressure for smaller expressions when the dataset contains just a few data points. The introduction of a penalization term applied to the fitness measure improved the results on these smaller datasets. One problem with this approach is that it introduces two additional hyperparameters: i) a criteria to when the penalization should be activated and, ii) the amount of penalization to the fitness function. One possible solution to alleviate this additional burden of correctly setting these hyperparameters is to pose the search as a multi-objective optimization problem by minimizing the approximation error and the expression size. The main idea is that the selective pressure of finding non-dominating solutions will return the simplest model for each particular approximation error in the pareto front. In this paper, we extend Transformation-Interaction-Rational to support multi-objective optimization, specifically the NSGA-II algorithm, and apply that to the same benchmark. A detailed analysis of the results show that the use of multi-objective optimization benefits the overall performance on a subset of the benchmarks while keeping the results similar to the single-objective approach on the remainder of the datasets. Specifically to th

关键词： Genetic programming

来源：评论

学校读者我要写书评

暂无评论

COEXISTENCE OF SPECIES IN A COMPETITION MODEL ON RANDOM GEOMETRIC GRAPHS

arXiv

引用

arXiv 2025年

作者： Coletti, Cristian F. de Lima, Lucas R. Center for Mathematics Computation and Cognition Federal University of ABC Av. dos Estados 5001 São Paulo Santo André09210-580 Brazil Department of Statistics Institut of Mathematics and Statitics University of São Paulo Rua do Matão 1010 SP São Paulo05508-090 Brazil

This paper investigates the coexistence of two competing species on random geometric graphs (RGGs) in continuous time. The species grow by occupying vacant sites according to Richardson’s model, while simultaneously competing for occupied sites under the dynamics of the voter model. Coexistence is defined as the event in which both species occupy at least one site simultaneously at any given time. We prove that coexistence occurs with strictly positive annealed probability by applying results from moderate deviations in first-passage percolation and random walk theory, with a focus on specific regions of the space. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Walking on the Edge: Brain Connectivity Changes in Response to Virtual Height Challenges

引用

European Journal of Neuroscience 2025年第9期61卷 e70131页

作者： Cupertino, Layla Angeles, Emanuele Los Pellegrino, Nathalia Mendes Magalhães-Novaes, Thayna de Souza, Brenda Luciano Bouri, Mohamed Coelho, Daniel Boari Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do Campo Brazil Biomedical Engineering Federal University of ABC SP São Bernardo do Campo Brazil École Polytechnique Fédérale de Lausanne Lausanne Switzerland

Virtual reality (VR) environments simulating height offer a unique platform to investigate neural adaptations to emotionally salient contexts during locomotion. These simulations allow for controlled analysis of motor-cognitive interactions under perceived threat. This secondary analysis of a previously dataset aimed to explore regional and global brain network adaptations, focusing on connectivity, modularity, and centrality, during gait under neutral and height-induced negative conditions. Seventy-five healthy participants performed a VR task involving a virtual plank at two heights: street level (neutral) and 80 floors up (negative). EEG was recorded using 32 scalp electrodes. Functional connectivity was analyzed using local efficiency, modularity, and eigenvector centrality across frontal, central, parietal, temporal, and occipital regions during two tasks: preparation (elevator) and active walking (plank). Repeated-measures ANOVAs examined the effects of task and condition. Frontal connectivity was significantly higher in the negative condition across tasks, suggesting increased cognitive-emotional regulation. Central connectivity showed a task × condition interaction, with elevated values during walking under threat, indicating increased sensorimotor integration. Occipital connectivity was higher during preparation, independent of condition, likely reflecting greater visual scene processing. Modularity was reduced in the negative condition, consistent with decreased functional segregation, while eigenvector centrality was greater in frontal and parietal regions during walking, highlighting their role as integrative network hubs. Height-related threat in VR modulates both regional and global brain network properties, enhancing integration in cognitive, motor, and visual systems. These findings advance our understanding of adaptive brain responses and support the use of VR in rehabilitation. © 2025 The Author(s). European Journal of Neuroscience published by Fed

关键词： electroencephalography functional connectivity gait locomotion neural networks virtual reality

来源：评论

学校读者我要写书评

暂无评论

The neural time course of size constancy in natural scenes

引用

Cortex 2025年 188卷 1-12页

作者： Yeh, Lu-Chun Gayet, Surya Kaiser, Daniel Peelen, Marius V. Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherlands Neural Computation Group Department of Mathematics and Computer Science Physics Geography Justus Liebig University Gießen Germany Helmholtz Institute Experimental Psychology Utrecht University Utrecht Netherlands Germany Center for Mind Brain and Behavior (CMBB) Philipps University Marburg Justus Liebig University Gießen Technical University Darmstadt Germany

Accurate real-world size perception relies on size constancy, a mechanism that integrates an object's retinal size with distance information. The neural time course of extracting pictorial distance cues from scenes and integrating them with retinal size information - a process referred to as scene-based size constancy - remains unknown. In two experiments, participants viewed objects with either large or small retinal sizes, presented at near or far distances in outdoor scene photographs, while performing an unrelated one-back task. We applied multivariate pattern analysis (MVPA) to time-resolved EEG data to decode the retinal size of large versus small objects, depending on their distance (near versus far) in the scenes. The objects were either perceptually similar in size (large-near versus small-far) or perceptually dissimilar in size (large-far versus small-near), reflecting size constancy. We found that the retinal size of objects could be decoded from 80 ms after scene onset onwards. Distance information modulated size decoding at least 120 ms later: from 200 ms after scene onset when objects were fixated, and from 280 ms when objects were viewed in the periphery. These findings reveal the neural time course of size constancy based on pictorial distance cues in natural scenes. © 2025 The Author(s)

关键词： EEG MVPA Natural scenes Size constancy Size perception

来源：评论

学校读者我要写书评

暂无评论

A load distribution algorithm based on profiling for heterogeneous GPU clusters

A load distribution algorithm based on profiling for heterog...

引用

3rd Workshop on Applications for Multi-Core Architecture, WAMCA 2012

作者： De Camargo, Raphael Y. Center for Mathematics Computation and Cognition Universidade Federal Do ABC Brazil

Clusters of GPUs are becoming commonly used to execute computationally demanding applications. Due to the frequent changes in GPU architecture, many clusters contain heterogeneous types of GPUs, leading to the problem of load distribution among the machines. In this work, we propose a load distribution algorithm for scientific applications executed in heterogeneous GPU clusters. The algorithm finds a distribution of data that minimizes the execution time of the application, by guaranteeing that all GPUs spend the same amount of time processing its assigned kernels and data. We use the algorithm to execute the simulation of large scale neuronal networks. We show that the algorithm effectively balances the load among the GPUs and reduces the execution time of the application. © 2012 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Motor cortex repetitive transcranial magnetic stimulation in fibromyalgia: a multicentre randomised controlled trial

引用

British Journal of Anaesthesia 2025年第6期134卷 1756-1764页

作者： Silva, Valquíria A. Baptista, Abrahão F. Fonseca, Alessandra S. Carneiro, Adriana M. Brunoni, André R. Carrilho, Paulo.E.M. Lins, Catarina C. Kubota, Gabriel T. Fernandes, Ana Mércia B.L. Lapa, Jorge.D.S. dos Santos, Lucas M. Sasso, Ivo Monte-Silva, Katia Poindessous-Jazat, Frédérique Mori, Nobuhiko Miki, Kenji Baltar, Adriana Tanaka, Clarice Teixeira, Manoel J. Hosomi, Koichi Bouhassira, Didier Attal, Nadine Ciampi de Andrade, Daniel LIM 62 - Pain Center Department of Neurology São Paulo Brazil Service of Interdisciplinary Neuromodulation (SIN) Department and Institute of Psychiatry São Paulo Brazil Medical-Surgical Nursing Department University of São Paulo São Paulo Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Paulo Brazil Mood Disorder Program (Pro-GRUDA) Department of Psychiatry University of São Paulo São Paulo Brazil Medicine School “Professor Orival Alves” State University of Western Paraná (UNIOESTE) Paraná Brazil Neurosurgery Unit Hospital de Cirurgia Sergipe Aracaju Brazil Department of Medicine Federal University of Sergipe Sergipe São Cristóvão Brazil LIM 54 - Physiotherapy Research Laboratory University of São Paulo São Paulo Brazil Applied Neuroscience Laboratory Universidade Federal de Pernambuco Cidade Universitária Pernambuco Brazil UVSQ-Paris-Saclay University Ambroise Paré Hospital Boulogne-Billancourt U987 France Department of Neurosurgery Osaka University Graduate School of Medicine Osaka Japan Faculty of Health Science Osaka Yukioka College of Health Science Osaka Japan Center for Pain Management Hayaishi Hospital Osaka Japan Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology University of Aalborg Gistrup Denmark

Background: Despite affecting 2–4% of the population worldwide, fibromyalgia often remains refractory to treatment. Here we report the first international randomised double-blind, sham-controlled trial developed to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) as an add-on therapy for fibromyalgia. Methods: Women aged ≥18 yr with fibromyalgia refractory to best available treatment were enrolled in Brazil, France, and Japan, and randomised to 10 Hz motor cortex (M1) rTMS, 3000 pulses day⁻¹, or sham stimulation. This included 10 induction sessions over 2 weeks, followed by weekly maintenance (6 weeks), and fortnightly extended maintenance (8 weeks). Primary outcome was ≥50% pain reduction at week 8 compared with baseline. Secondary outcomes included pain interference, mood, global impression of change, and Fibromyalgia Impact Questionnaire (FIQ) scores at weeks 8 and 16. Results: We randomised 101 women (mean age 48 [range 25-83] yr) into active (n=52) or sham (n=49) arms. Bayesian analysis revealed a 99.4% probability of ≥50% pain reduction at week 8 in the active group vs sham (odds ratio [OR] 3.04;95% credible interval [95% CrI] 1.26–8.06), with a number needed to treat of 4.54. Frequentist analysis confirmed that relative pain reduction was higher in the active than in the sham group (40.4% vs 18.4%, P=0.028). At week 16, this probability reduced to 34.2% (OR 0.815;95% CrI 0.313–2.1), but the likelihood of FIQ score reduction was 79.1%. The intervention appeared safe. Conclusions: Add-on M1-repetitive transcranial magnetic stimulation reduced pain intensity up to 8 weeks in women with fibromyalgia. Although analgesic effects waned, functional improvements remained during extended maintenance at week 16. © 2025 The Authors

关键词： chronic pain clinical trial fibromyalgia neuromodulation transcranial magnetic stimulation

来源：评论

学校读者我要写书评

暂无评论

Inference of restricted stochastic Boolean GRN's by Bayesian error and entropy based criteria

Inference of restricted stochastic Boolean GRN's by Bayesian...

引用

15th Iberoamerican Congress on Pattern Recognition, CIARP 2010

作者： Martins Jr., David Correa De Oliveira, Evaldo Araújo Louzada, Vitor Hugo Hashimoto, Ronaldo Fumio Center for Mathematics Computation and Cognition Federal University of ABC Brazil Institute of Mathematics and Statistics University of São Paulo Brazil

ISBN: (纸本)3642166865

This work compares two frequently used criterion functions in inference of gene regulatory networks (GRN), one based on Bayesian error and another based on conditional entropy. The network model utilized was the stochastic restricted Boolean network model;the tests were realized in the well studied yeast cell-cycle and in randomly generated networks. The experimental results support the use of entropy in relation to the use of Bayesian error and indicate that the application of a fast greedy feature selection algorithm combined with an entropy-based criterion function can be used to infer accurate GRN's, allowing to accurately infer networks with thousands of genes in a feasible computational time cost, even though some genes are influenced by many other genes. © 2010 Springer-Verlag.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

Towards a quantitative academic internationalization assessment of Brazilian research groups

Towards a quantitative academic internationalization assessm...

引用

2012 IEEE 8th International Conference on E-Science, e-Science 2012

作者： Perez-Cervantes, Evelyn Mena-Chalco, Jesús P. Cesar Jr., Roberto M. Institute of Mathematics and Statistics University of São Paulo Brazil Center for Mathematics Computation and Cognition Federal University of ABC Brazil

ISBN: (纸本)9781467344678

This paper introduces a new computational method to automatically estimate the International Publication Ratio (IPR) based on the analysis of bibliographical productions of Brazilian research groups, a task that would be too difficult (in many cases, impossible) to be performed manually. The proposed method explores the DOI number to identify the countries of every co-author who participated in each publication. Considering the bibliometric data from the Brazilian Lattes platform we show that is possible to make a good estimation of the IPR for research groups. Calculating the IPR is important in order to make a quantitative evaluation of the science progress and to establish a comparison between the academic institutions or knowledge areas. The experiments considering research groups, belonging to the 100 more collaborative researchers of five Brazilian major knowledge areas, confirm that the our proposal leads to an effective way to infer the IPR. ©2012 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Doman's inclined floor method for early motor organization simulated with a four neurons robot

Doman's inclined floor method for early motor organization s...

引用

Lecture Notes in Computer Science

作者： Ropero Peláez, Francisco Javier Santana, Lucas Galdiano Ribeiro Center for Mathematics Computation and Cognition Federal University of ABC Avenida dos Estados Santo André 5001 Brazil

ISBN: (纸本)9783642213434

Early motor organization using the Domans inclined floor method is simulated with a four neurons robot. A LEGO robot controlled by a biologically plausible neural network performs the same kind of "inclined floor" training that is given by parents to young babies for early motor organization. When the inclined floor training is applied to the robot, it organizes its motor behavior in a manner that is analogous to the motor organization seen in babies. In this way the simulation with the robot could help to understand the kind of neural processes that are involved in early motor organization. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Floors

来源：评论

学校读者我要写书评

暂无评论

An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN 23

An Approach for Data Augmentation in HAR with Wearable Senso...

引用

23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024

作者： Silva, Jonathan C. F. Silva, Mateus C. Amorim, Vicente J. P. Lazaroni, Pedro S. O. Oliveira, Ricardo A. R. Federal University of Ouro Preto Computing Department Brazil Center for Mathematics Computation and Cognition Federal University of Abc Brazil Orthopedics and Traumatology Center of Belo Horizonte Brazil

ISBN: (纸本)9798350374889

Human Activity Recognition (HAR) is crucial in health and sports, where integrating wearable sensors with Artificial Intelligence (AI) leads to innovative solutions. However, data collection can be labor-intensive and slow, hindering project timelines. Data augmentation presents a viable solution to this challenge. Our study enhanced our original dataset using a TimeGAN-based neural network for wearable device sensors. The experimental outcomes confirm that it's feasible to construct efficient classifiers using the synthetic data generated, which closely resembles real data. This approach saves significant time in data collection and accelerates the development of wearable technologies. Consequently, we developed an effective classifier for HAR using synthetic data. © 2024 IEEE.

关键词： Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：