Editorial Material
Biochemistry & Molecular Biology
Ryan T. Roemmich, Amy J. Bastian
Summary: Humans learn through exploration, and a new study suggests that this may also be how we learn to save energy when we walk.
Article
Chemistry, Analytical
Dingyi Pei, Parthan Olikkal, Tulay Adali, Ramana Vinjamuri
Summary: Brain-machine interfaces (BMIs) have gained popularity in restoring lost motor function. This study successfully reconstructed hand movements using synergies and a neural decoder, providing potential applications for synergy-based BMIs in controlling assistive devices.
Article
Agronomy
Alvaro Monteros-Altamirano, Cesar Tapia, Nelly Paredes, Valeria Alulema, Marcelo Tacan, Alberto Roura, Luis Lima, Marten Sorensen
Summary: This study characterized 195 accessions of cassava in Ecuador through morphological and ecogeographic descriptors, identifying morphological and ecogeographic variability in the collection and potential resources for improvement.
Article
Chemistry, Analytical
Nestor J. Jarque-Bou, Joaquin L. Sancho-Bru, Margarita Vergara
Summary: This study aimed to reduce the number of sensors required for measuring hand motion by utilizing kinematic synergies, resulting in a reduction of the original 16 joint angles to eight. The estimation errors for joint angles were below 10% of the range of motion for each joint, demonstrating the effectiveness of the approach in accurately measuring hand movements across different activities.
Article
Business
Tao Wang, Jie Gao, Yu Jia, Cheng Lu Wang
Summary: This study examines the impact of adaptation strategy on performance, finding that the influence of adaptation strategy on performance is mediated by legitimacy and synergy, and is contingent on cultural distance. In host countries with high cultural distance, the indirect effects of adaptation strategy on performance are more pronounced.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Engineering, Biomedical
Arsalan Asemi, Keivan Maghooli, Fereidoun Nowshiravan Rahatabad, Hamid Azadeh
Summary: This study aims to confirm handwritten signatures using hand muscle synergy as a biometric characteristic. Surface electromyography (EMG) signals from eight muscles were recorded and muscle synergy was extracted using non-negative matrix factorization (NMF) method. The system achieved a low error rate in identifying genuine and forged signatures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Mathematics, Applied
Leonid Hanin, Liyang Xie, Rainer Sachs
Summary: This article analyzes the mathematical properties of an important synergy theory called Hand Incremental Effect Additivity (HIEA) and discusses its limitations. The study finds that HIEA combination dose-effect relations (DERs) may become undefined at finite total dose and proposes necessary conditions to prevent such issues. Additionally, the concept of a strongly dominant agent is introduced, showing its significance in ensuring the desired properties of synergy theories.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Environmental Sciences
Engdawork Assefa, Gebremichael Gebrehiwot
Summary: This study assesses the gender dimensions of climate change adaptation and the determinants of smallholder farmers' adaptation strategies in Adwa district, Tigray, Ethiopia. The study found that climate change had more severe impacts on female-headed households due to women's lack of resource access and control, lack of income and technology use, and high dependence on natural resources. Policy-makers should consider differences between female- and male-headed families in their access to land, information, income, extension services, technologies, and other resources to promote broadened and sustainable climate change adaptation practices.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2023)
Article
Plant Sciences
Mike Slootweg, Mingming Hu, Solmaria Halleck Vega, Maarten van 't Zelfde, Eveline van Leeuwen, Arnold Tukker
Summary: Urban areas face challenges in addressing climate change in limited space. A solution is to develop multifunctional rooftop systems, such as combining green roofs and photovoltaic panels (EGR-PV). This study presents a geographical potential model to identify the potential for EGRs, PVs, and EGR-PVs on rooftops, highlighting the competition and synergy between EGRs and PVs at the building level.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Multidisciplinary Sciences
Bidhubhusan Mahapatra, Monika Walia, Chitiprolu Anantha Rama Rao, Bellapukonda Murali Krishna Raju, Niranjan Saggurti
Summary: The study found a positive association between the vulnerability of agriculture to climate change and child malnutrition, with children in highly vulnerable areas being more likely to experience malnutrition. There was a high level of clustering of child malnutrition and vulnerability in the western-central part of India. Strategies should be developed to address the impact of climate change on vulnerable areas with high levels of child malnutrition.
Article
Chemistry, Analytical
Quan Liu, Mengnan Li, Chaoyue Yin, Guoming Qian, Wei Meng, Qingsong Ai, Jiwei Hu
Summary: This paper explores the relationships among hand grasping actions and proposes a convolutional neural network-based method for hand activity prediction. The experimental results show that the proposed method achieves a prediction accuracy of up to 94% for specific hand motions, and the robotic model can be operated naturally based on patient's movement intention, thereby completing grasping tasks and achieving rehabilitation.
Article
Chemistry, Analytical
Patricio Rivera, Edwin Valarezo Anazco, Tae-Seong Kim
Summary: The study proposes a deep reinforcement learning approach to train an anthropomorphic robotic hand for natural grasping and relocation tasks using a synergy space. The synergy-based DRL achieves a higher success rate in object manipulation tasks compared to standard DRL methods.
Article
Meteorology & Atmospheric Sciences
Ryan J. Longman, Courtney L. Peterson, Madeline Baroli, Abby G. Frazier, Zachary Cook, Elliott W. Parsons, Maude Dinan, Katie L. Kamelamela, Caitriana Steele, Reanna Burnett, Chris Swanston, Christian P. Giardina
Summary: The event provided practical training for natural resources management professionals working in Hawaiian forests and native ecosystems to consider climate change information and identify adaptation actions.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Engineering, Biomedical
Zhicheng Teng, Guanghua Xu, Renghao Liang, Min Li, Sicong Zhang
Summary: This study proposed a force-invariant intent recognition method based on muscle synergy analysis, which was found to significantly outperform traditional pattern recognition methods in accuracy under different force levels. Although there was a drop in classification accuracy among amputee subjects, the proposed method still holds potential for clinical applications.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Engineering, Biomedical
Jiamin Zhao, Yang Yu, Xu Wang, Shihan Ma, Xinjun Sheng, Xiangyang Zhu
Summary: In this study, we proposed a novel method for extracting muscle excitations to estimate hand and wrist movements using muscle synergy. The offline experiments and online test demonstrated the effectiveness of this approach in accurately estimating muscle excitations and outperforming traditional MM and regression methods.
JOURNAL OF NEURAL ENGINEERING
(2022)