Article
Geriatrics & Gerontology
Marissa Gerards, Rik Marcellis, Rachel Senden, Martijn Poeze, Rob de Bie, Kenneth Meijer, Antoine Lenssen
Summary: This study investigated the effects of a balance training program on balance control and fear of falling in older adults. The results showed that there was no significant difference in balance control or fear of falling between the group that received the training and the group that received usual care. Further research is needed to explore the optimal training dose and suitable clinical outcomes for measuring the effects of balance training.
Article
Neurosciences
Ren Zhuang, Shizhe Zhu, Youxin Sui, Mengye Zhou, Ting Yang, Chaolan Wang, Tianjiao Zhang, Jin Wang, Chaojie Kan, Ying Shen, Tong Wang, Chuan Guo
Summary: This study aimed to investigate age-related differences in stepping reactions to sudden balance perturbations. The results showed that older adults exhibited greater muscle activity and lower cortical activation compared to young adults. These findings contribute to a better understanding of peripheral and central differences and provide suggestions for future neuromodulation techniques and other clinical treatments.
Review
Cell Biology
Geena Skariah, Peter K. Todd
Summary: Protein metabolism plays crucial roles in aging and neurodegeneration, with changes in protein synthesis efficiency and accuracy less understood than degradation. Interventions that prolong lifespan often involve preemptively decreasing protein synthesis rates to harmonize with age-related declines in catabolism. Emerging technologies are revealing mRNA-specific changes in translation rates across tissues, pointing to key interactions between catabolic and anabolic pathways that contribute to functional decline.
WILEY INTERDISCIPLINARY REVIEWS-RNA
(2021)
Article
Geriatrics & Gerontology
Mark W. Rogers, Robert A. Creath, Vicki Gray, Janice Abarro, Sandy McCombe Waller, Brock A. Beamer, John D. Sorkin
Summary: Combining perturbation-induced step training and hip muscle strengthening training for older adults improves balance performance, muscle strength, and reduces the risk of future falls by 56%-74% compared to traditional programs. The training involving perturbation and strength training together is more effective in improving balance and reducing falls compared to strength training alone.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2021)
Article
Biophysics
J. Borrelli, R. Creath, V. L. Gray, M. W. Rogers
Summary: Older adults tend to use multiple steps to recover balance, which is associated with increased fall risk and decreased stability compared to younger adults who stabilize balance with a single lateral sidestep. The study showed that differences in stepping characteristics and stability exist between single lateral sidesteps and two-step sequences among older adults when recovering balance.
JOURNAL OF BIOMECHANICS
(2021)
Review
Biochemistry & Molecular Biology
Matthew J. Payea, Carlos Anerillas, Ravi Tharakan, Myriam Gorospe
Summary: Senescence is a state of long-term cell cycle arrest caused by sublethal damage, leading to metabolic activity, production of inflammatory proteins, and inhibition of ribosome biogenesis. The translation process in senescent cells shows a paradoxical pattern with global repression triggered by DNA damage and selective increase in translation of specific proteins.
MOLECULAR AND CELLULAR BIOLOGY
(2021)
Article
Robotics
Christian Neumeyer, Frans A. Oliehoek, Dariu M. Gavrila
Summary: Modeling future outcomes of robot-human interactions is important, especially in areas like intelligent vehicles and mobile robotics. Understanding the reward function behind human behavior is crucial for modeling behavior using Markov Decision Processes. This study introduces an inverse reinforcement learning algorithm to infer reward functions in multi-agent interactive scenarios, where agents may act sub-optimally and optimize their own reward functions. The algorithm does not rely on reinforcement learning during inference, and accurately infers the ground truth reward function in interactive experiments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Geriatrics & Gerontology
Jing Hu, Jung Hung Chien
Summary: The study found that less sensory information leads to a higher level of demand in active control in both anterior-posterior and medial-lateral directions. Different patterns in active control were found among different age groups and perturbation conditions. This study extended the current knowledge and suggested the possibility of multiple patterns in active control.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Geriatrics & Gerontology
Hideyuki Tashiro, Yui Sato, Kanta Fukumoto, Megumi Toki, Naoki Kozuka
Summary: This study aimed to investigate the relationship between fear of falling and the stepping threshold for lateral balance recovery. The results showed that fear of falling was significantly correlated with the ability to recover balance with a single step, as well as age. This suggests that fear of falling, in addition to aging, is associated with reduced ability to recover from lateral balance loss.
JOURNAL OF GERIATRIC PHYSICAL THERAPY
(2023)
Article
Automation & Control Systems
Feng Han, Alborz Jelvani, Jingang Yi, Tao Liu
Summary: Bikebot manipulation combines mobility and dexterity, but faces challenges of limited steering balance capability and manipulator redundancy. This study proposes models for balance and posture control and conducts experiments to validate the approach.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Jongchan Baek, Hayoung Jun, Jonghyuk Park, Hakjun Lee, Soohee Han
Summary: The proposed SVDPG algorithm integrates Bayesian pruning with policy update in reinforcement learning to achieve efficient policy network compression and competitive performance in continuous control benchmark tasks. Additionally, SVDPG demonstrates superiority in low-computing power devices and reliability in real-world scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Clinical Neurology
Shani Batcir, Omri Lubovsky, Yaacov G. Bachner, Itshak Melzer
Summary: This study aims to investigate a new perturbation-based balance training program, which provides perturbations during hands-free bicycling in a sitting position to improve reactive balance responses among pre-frail older adults, and assess if this can transfer to reduce fall risks and enhance balance function.
FRONTIERS IN NEUROLOGY
(2021)
Review
Chemistry, Physical
Shicong Ding, Yiding Li, Haifeng Dai, Li Wang, Xiangming He
Summary: Precisely predicting the aging of lithium-ion cells under different operating conditions is crucial for ensuring the performance of applications like electric vehicles and energy storage systems. Accurate battery-aging prediction models provide insights for material and battery research and overcome barriers in AI/ML for faster prediction. This study reviews deterioration mechanisms at the material and cell level, explores relationships between aging mechanisms, degradation modes, and external factors, and highlights advances in electrochemical models and machine learning for reliable remaining useful life prediction.
ADVANCED ENERGY MATERIALS
(2023)
Article
Geriatrics & Gerontology
Marissa H. G. Gerards, Rik G. J. Marcellis, Martijn Poeze, Antoine F. Lenssen, Kenneth Meijer, Rob A. de Bie
Summary: This study aims to evaluate the effects of a three-session PBT protocol on balance control, daily life falls, and fear of falling among older adults, as well as assess the acceptability of the intervention.
Article
Automation & Control Systems
Ignacio Rubio Scola, Gabriel Alexis Guijarro Reyes, Luis Rodolfo Garcia Carrillo, Joao Pedro Hespanha, Laurent Burlion
Summary: This article focuses on the theoretical and practical challenges of the Mambo quad rotorcraft developed by Parrot SA. It introduces a novel robust controller for discrete-time systems and addresses system identification and nonlinear control challenges. These theoretical developments are validated through real-time experiments.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)