Review
Neurosciences
Wery P. M. van den Wildenberg, K. Richard Ridderinkhof, Scott A. Wylie
Summary: The aim of this paper is to clarify the potential confusion when using the term proactive inhibitory control. A distinction is proposed between reactive inhibition, which refers to the mechanism of stopping an action, and proactive inhibition, which involves preparatory processes that bias the outcome of the competition between stopping and going.
Article
Biotechnology & Applied Microbiology
Victor Munoz-Martel, Alessandro Santuz, Sebastian Bohm, Adamantios Arampatzis
Summary: This study investigated the effects of perturbations induced by an unstable surface during single-leg landings on leg muscle loading and modular organization. The results showed proactive adjustments in neuromotor control during landings on the unstable surface, leading to an increase in leg muscle loading. Additionally, the maximum joint moments and joint moment development rates were significantly lower in the unstable surface condition, highlighting the importance of considering surface characteristics and task dynamics in perturbation-based interventions.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Materials Science, Multidisciplinary
Emile Franc Doungmo Goufo, Abdon Atangana
Summary: This study investigates a TB-HIV co-infection model using geometric singular perturbation method, showing that the original model dynamics can be analyzed by studying the reduced one. Non-local operators can be used to assess the effects of the slower dynamics, with similar or better approximation results.
RESULTS IN PHYSICS
(2021)
Article
Neurosciences
F. R. Fiocchi, S. Dijkhuizen, S. K. E. Koekkoek, C. I. De Zeeuw, H. J. Boele
Summary: In this study, the researchers investigated stimulus generalization in a cerebellar learning paradigm called eyeblink conditioning. They found that mice showed a strong generalization gradient, with the probability and amplitude of conditioned eyelid responses decreasing as the tones' dissimilarity to the 10-kHz tone increased. The researchers also discovered that lower frequency tones resulted in conditioned responses that peaked earlier after tone onset compared to higher frequency tones.
Article
Computer Science, Artificial Intelligence
Jingwei Zhang, Tongliang Liu, Dacheng Tao
Summary: In this article, a new analysis of generalization in deep neural networks (DNNs) is proposed from an optimal transport perspective. Upper bounds on the generalization error of learning algorithms are derived based on the algorithmic transport cost, and various conditions for loss functions are studied. The main result shows that the generalization error in DNNs decreases exponentially to zero as the number of layers increases.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Neurosciences
Stefania C. Ficarella, Andrea Desantis, Alexandre Zenon, Boris Burle
Summary: Motor preparation and proactive/reactive inhibitory mechanisms play a crucial role in flexible behavior control. Informative cues facilitate the study of the interaction between proactive and reactive action inhibition. Partial errors' appearance depends on cue type and prior preparatory motor activity.
Article
Neurosciences
Judith L. Rudolph, Luc P. J. Selen, W. Pieter Medendorp
Summary: Generalization in motor learning refers to the transfer of learned compensation to other relevant contexts. This study aimed to experimentally examine the time-dependent contributions of different adaptive processes to generalization. Results showed a continuum of evidence for plan-referenced to motion-referenced updating among participants.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Agriculture, Multidisciplinary
Yi Zhu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Jianfeng Gu, Yiwu Fang, Chengbin Peng, Ying Zhu
Summary: In this paper, a local structure invariance guided (LSIG) domain generalization approach is proposed to enhance the model generalization of nematode local regions. The approach utilizes style transfer to synthesize new domain image samples and metric learning to determine cross-domain invariant structural representation. The method demonstrates effectiveness and robustness on binary-class and multi-class classification tasks on diverse nematode datasets.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Energy & Fuels
James Amankwah Adu, Alberto Berizzi, Francesco Conte, Fabio D'Agostino, Valentin Ilea, Fabio Napolitano, Tadeo Pontecorvo, Andrea Vicario
Summary: This paper summarizes the results of a power system stability analysis for the EU project OSMOSE, which focuses on the electrical network of Sicily in a 2050 scenario with a high penetration of renewable generation. The study aims to determine whether angle and voltage stabilities can be maintained despite the loss of inertia and regulation services provided by traditional thermal power plants. The results indicate that stability can be ensured by utilizing a suitable combination of new flexibility services.
Article
Computer Science, Information Systems
Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang
Summary: The article introduces the issues and solutions of deep metric learning, proposing a new module RKP that can improve the generalization capacity of the lower-dimensional embedding space. Experimental results demonstrate that it significantly enhances the performance of the original model.
INFORMATION SCIENCES
(2021)
Article
Mathematics, Applied
Zakariae Aznay, Abdelmalek Ouahab, Hassan Zariouh
Summary: We study the stability of certain spectra under algebraic conditions weaker than commutativity and generalize known commutative perturbation results. In a complex unital Banach algebra A, we prove that if x is an element of comm(w)(a) and a is nilpotent, then sigma(x) = sigma(x + a). We also prove that if x is an element of comm(xy) U comm(yx) or gamma is an element of comm(yx) for all x, y in A, then A is commutative. When A = L(X) is the unital complex Banach algebra of bounded linear operators acting on the complex Banach space X, we have sigma(p)(T)\{0} subset of sigma(p)(T + N)\{0}, where N is nilpotent and T is an element of comm(NT).
ANNALS OF FUNCTIONAL ANALYSIS
(2023)
Article
Clinical Neurology
Thurmon Lockhart, Chris Frames, Markey Olson, Seong H. Moon, Dan Peterson, Abraham Lieberman
Summary: The aim of this study was to investigate the effects of PD on walking ability and the ability to respond to balance perturbations, as well as the short-term effects of a training session to improve compensatory reactions and walking stability. The results suggest that individuals with PD can benefit from perturbation training to reduce falls and improve balance control during rehabilitation.
FRONTIERS IN NEUROLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Timo Milbich, Karsten Roth, Biagio Brattoli, Bjoern Ommer
Summary: This research investigates how to learn similarity characteristics between images and generalize them to different object classes. By using a novel triplet sampling strategy, it significantly improves performance in deep metric learning, achieving state-of-the-art results on standard benchmark datasets.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Chen Jia, Yue Zhang
Summary: The study proposes a meta-learning algorithm via bilevel optimization for domain generalization, aiming to improve the out-of-domain robustness for invariance learning by learning invariant representations across different source distributions.
Article
Multidisciplinary Sciences
Kyo Kutsuzawa, Mitsuhiro Hayashibe
Summary: This study demonstrates that the combination of motor synergies can be generalized to new targets and confirms the systematic re-use of motor synergy repertories in new situations. This has important implications for understanding human motor control mechanisms.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Engineering, Biomedical
Xuan Liu, Jun Ouyang, Yubo Fan, Ming Zhang
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
(2016)
Article
Geriatrics & Gerontology
Xuan Liu, Tanvi Bhatt, Shuaijie Wang, Feng Yang, Yi-Chung (Clive) Pai
Article
Neurosciences
Anna Lee, Tanvi Bhatt, Xuan Liu, Yiru Wang, Yi-Chung Pai
Article
Materials Science, Ceramics
Tao Yu, Xuan Liu, Jiandong Ye, Ming Zhang
CERAMICS INTERNATIONAL
(2014)
Article
Engineering, Biomedical
Xuan Liu, Ming Zhang
CLINICAL BIOMECHANICS
(2013)
Article
Engineering, Biomedical
Shuaijie Wang, Xuan Liu, Yi-Chung Pai
ANNALS OF BIOMEDICAL ENGINEERING
(2019)
Article
Biophysics
Yiru Wang, Tanvi Bhatt, Xuan Liu, Shuaijie Wang, Anna Lee, Edward Wang, Yi-Chung (Clive) Pai
JOURNAL OF BIOMECHANICS
(2019)
Article
Engineering, Biomedical
Shuaijie Wang, Tanvi Bhatt, Xuan Liu, Yi-Chung Pai
ANNALS OF BIOMEDICAL ENGINEERING
(2020)
Article
Geriatrics & Gerontology
Xuan Liu, Tanvi Bhatt, Yiru Wang, Shuaijie Wang, Anna Lee, Yi-Chung Pai
Summary: The study found that the immediate generalization of treadmill slip-perturbation training to overground slip resulted in inferior outcomes compared with overground slip-perturbation training, but it could still be retained over 6 months. Therefore, future dose-response studies may be needed to determine the efficacy of both training methods.
Review
Neurosciences
Xuan Liu, Michelle H. Chen, Guang H. Yue
Article
Engineering, Biomedical
Xuan Liu, Sasha Reschechtko, Shuaijie Wang, Yi-Chung (Clive) Pai
CLINICAL BIOMECHANICS
(2017)
Article
Engineering, Biomedical
Shuaijie Wang, Xuan Liu, Anna Lee, Yi-Chung Pai
ANNALS OF BIOMEDICAL ENGINEERING
(2017)
Article
Biophysics
Nathan D. Camarillo, Rafael Jimenez-Silva, Frances T. Sheehan
Summary: This article discusses the statistical dependence between multiple measurements from the same participant and provides recommendations for using these measurements when they are not independent.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
J. Huet, A. -S. Boureau, A. Sarcher, C. Cornu, A. Nordez
Summary: Standard compression in freehand 3D ultrasound induces a bias in volume calculations, but minimal compression and gel pad methods have similar results. With a trained examiner and precautions, the bias can be minimized and become acceptable in clinical applications.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
C. Lariviere, A. H. Eskandari, H. Mecheri, F. Ghezelbash, D. Gagnon, A. Shirazi-Adl
Summary: Recent developments in musculoskeletal modeling have focused on model customization. Personalization of the spine profile may affect estimates of spinal loading and stability. This study investigates the biomechanical consequences of changes in the spinal profile and finds that personalizing the spine profile has medium to large effects on trunk muscle forces and negligible to small effects on spinal loading and stability.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Luke T. Mattar, Arash B. Mahboobin, Adam J. Popchak, William J. Anderst, Volker Musahl, James J. Irrgang, Richard E. Debski
Summary: Exercise therapy fails in about 25.0% of cases for individuals with rotator cuff tears, and one reason for this failure may be the inability to strengthen and balance the muscle forces that keep the humeral head in the correct position. This study developed computational musculoskeletal models to compare the net muscle force before and after exercise therapy between successfully and unsuccessfully treated patients. The study found that unsuccessfully treated patients had less inferiorly oriented net muscle forces, which may increase the risk of impingement.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Natsuki Sado, Takeshi Edagawa, Toshihide Fujimori, Shogo Hashimoto, Yoshikazu Okamoto, Takahito Nakajima
Summary: The existing methods for predicting hip and lumbosacral joint centres in Japanese adults are biased and differ between sexes. We propose new regression equations that consider soft-tissue thickness, sex differences, and a height-directional measure, and validate them using leave-one-out cross-validation.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Peimin Yu, Xuanzhen Cen, Qichang Mei, Alan Wang, Yaodong Gu, Justin Fernandez
Summary: This study aimed to explore the intra-foot biomechanical differences among individuals with chronic ankle instability (CAI), copers, and healthy individuals during dynamic tasks. The study found that copers and CAI individuals had smaller dorsiflexion angles and copers presented a more eversion position compared to healthy participants. Copers also had greater dorsiflexion angles in the metatarsophalangeal joint and more inversion moments in the subtalar joint during certain tasks. These findings can help in designing interventions to restore ankle joint functions in CAI individuals.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Jon Skovgaard Jensen, Anders Holsgaard-Larsen, Anders Stengaard Sorensen, Per Aagaard, Jens Bojsen-Moller
Summary: This study investigates the biomechanical effects of robot-assisted body weight unloading (BWU) on gait patterns in healthy young adults. The results show that dynamic robot-assisted BWU enables reduced kinetic requirements without distorting biomechanically normal gait patterns during overground walking.
JOURNAL OF BIOMECHANICS
(2024)