This study aimed to clarify the relationships between isometric squat (IS) using a back dynamometer and 1 repetition maximum (1RM) squat for maximum force and muscle activities and to examine the effectiveness of a 1RM estimation method based on IS. The subjects were 15 young men with weight training experience (mean age 20.7 ± 0.8 years, mean height 171.3 ± 4.4 cm, mean weight 64.4 ± 8.4 kg). ...

BACKGROUND Gait speed is a strong predictor of incident walking disability. The objective was to determine if gait variability adds to the prediction of incident mobility disability independent of gait speed. METHODS Participants included 379 older adults (mean age = 79 years; 78% Caucasian, and 40% men) in the Cardiovascular Health Study at the Pittsburgh site. All could ambulate independent...

Reading Mother Nature's Mind I wonder how Dennett and I, both firm naturalists and believers in the relevance and importance of natural selection for understanding the human mind, should have come to such different conclusions about holism in the theory of meaning. I try to focus our differences by examining the relation between what Dennett has termed "the intentional stance" and "the design s...

Recent studies have suggested that complex muscle activity during walking may be controlled using a reduced neural control strategy organized around the co-excitation of multiple muscles, or modules. Previous computer simulation studies have shown that five modules satisfy the sagittal-plane biomechanical sub-tasks of 2D walking. The present study shows that a sixth module, which contributes pr...

PURPOSE The purpose of this study was to investigate the lower-extremity kinematics when walking on potentially slippery surfaces in simulated construction worksite environments. METHODS A survey was conducted to select two types of footwear, two floorings, and four contaminants to represent the local construction worksite environments, making 16 simulated conditions. A mechanical slip-resist...

Our aim is to implement a mind-reading capability in machines and artifacts. We give a formulation of mind-reading applicable to machines, emphasizing the importance of a human stance to a machine in mind-reading. Next we demonstrate how the stance a human takes can modify the recognition of intention in an object/agent, taking as examples experiments conducted by us, i.e., a moving box experim...

Argumentation mining and stance classification were recently introduced as interesting tasks in text mining. In this paper, a novel framework for argument tagging based on topic modeling is proposed. Unlike other machine learning approaches for argument tagging which often require large set of labeled data, the proposed model is minimally supervised and merely a one-to-one mapping between the p...

Identifying persons with the same stance in topic documents that contain competing viewpoints can help readers construct the background of a topic and facilitate topic reading. In this paper, we propose an unsupervised method for identifying topic persons with the same stance. Specifically, we employ a model-based Expectation-Maximization (EM) method to cluster individuals into positively corre...