1. Depth: Angle formed between the ankle knee and hip while squatting 2. Stance: distance between feet and center of mass over your ankles 3. Back-Hip Angle: Angle formed between the knees hips and back throughout the squat 4. Knee-Toe Alignment: Location and movement of knees throughout the squat • Certain components, such as required depth, stance and the angle at the hip, are fairly well-def...

In The empirical stance, Bas van Fraassen argues for a reconceptualization of empiricism, and a rejection of its traditional rival, speculative metaphysics, as part of a larger and provocative study in epistemology. Central to his account is the notion of voluntarism in epistemology, and a concomitant understanding of the nature of rationality. In this paper I give a critical assessment of thes...

This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment is in favor of the given target or against. Our approach is based on a maximum entropy classifier, which uses surface-level, sentiment and domain-specific features. The system was originally developed to detect stance in English tweets. We adapted it to process...

We investigated the mechanical function of two ankle extensor muscles, the lateral gastrocnemius (LG) and peroneus longus (PL), in wild turkeys Meleagris gallopavo during steady speed running. We hypothesized that mechanical work output of the LG and PL during running parallels the demand for mechanical work on the body. The turkeys ran on level, inclined (+6 degrees, +12 degrees ) and declined...

Stance and Gender Detection in Tweets on Catalan Independence (StanceCat) is a new shared task proposed for the first time at the IberEval 2017 evaluation campaign. The automatic natural language systems presented must detect the tweeter stance (in favor, against or neutral) towards the target independence of Catalonia in Twitter messages written in Spanish or Catalan, as weel as the author’s g...

We propose an integrated model to jointly model user arguments, interactions and attributes for the task of stance prediction. The graphical representation of the model can be found in Figure 1. The model is composed of four parts: i.) user profiling, which considers a regression-based latent factorization method to incorporate user attributes for profiling users; ii.) user stance, which contai...

This paper describes our submissions to Task 6, i.e., Detecting Stance in Tweets, in SemEval 2016, which aims at detecting the stance of tweets towards given target. There are three stance labels: Favor (directly or indirectly by supporting given target), Against (directly or indirectly by opposing or criticizing given target), and None (none of the above). To address this task, we present a tw...

Introduction Some have assessed outcomes of rectus femoris transfers in children with Cerebral Palsy by grouping patients according to their functional level of ambulation [1,2]. However, it is thought that the biomechanics leading to knee flexion in swing will differ depending on stance phase characteristics [3,4]. A previous study, grouping patients into three stance-phase groups, showed diff...

Stance-taking is considered as one of the fundamental properties of human communication (Jaffe, 2009). It is pervasive, intersubjective, and collaborative. While a good deal of research has investigated the expression of stance in English, much less has been done in Chinese. In this study, we draw upon the five-million-word Academia Sinica Balanced Corpus of Modern Chinese to investigate a comp...