Knee adduction moment and medial contact force - facts about their correlation during gait

The external knee adduction moment is considered a surrogate measure for the medial tibiofemoral contact force and is commonly used to quantify the load reducing effect of orthopedic interventions. However, only limited and controversial data exist about the correlation between adduction moment and medial force. The objective of this study was to examine whether the adduction moment is indeed a strong predictor for the medial force by determining their correlation during gait. Instrumented knee implants with telemetric data transmission were used to measure tibiofemoral contact forces in nine subjects. Gait analyses were performed simultaneously to the joint load measurements. Skeletal kinematics, as well as the ground reaction forces and inertial parameters, were used as inputs in an inverse dynamics approach to calculate the external knee adduction moment. Linear regression analysis was used to analyze the correlation between adduction moment and medial force for the whole stance phase and separately for the early and late stance phase. Whereas only moderate correlations between adduction moment and medial force were observed throughout the whole stance phase (R(2)?=?0.56) and during the late stance phase (R(2)?=?0.51), a high correlation was observed at the early stance phase (R(2)?=?0.76). Furthermore, the adduction moment was highly correlated to the medial force ratio throughout the whole stance phase (R(2)?=?0.75). These results suggest that the adduction moment is a surrogate measure, well-suited to predicting the medial force ratio throughout the whole stance phase or medial force during the early stance phase. However, particularly during the late stance phase, moderate correlations and high inter-individual variations revealed that the predictive value of the adduction moment is limited. Further analyses are necessary to examine whether a combination of other kinematic, kinetic or neuromuscular factors may lead to a more reliable prediction of the force magnitud

“Antigone’s Stance amongst Slovenia’s Undead.”

Memorialization in the form of the architectural statue can suggest that our stance towards the past is concrete while memorials in the form of repeated social activity represent reconciliation with the past as a continual process. Enacted memorials suggest that reconciliation with the past is not itself a thing of the past. Each generation must grapple with its inherited memories, guilt, and grief and self-consciously take its own stance towards that which came before it. This article considers Dominik Smole’s post World War II rewrite of Antigona as an enacted memorial within the context of socialist Yugoslavia. The practice of restaging Antigona in Slovenia may be seen as the practice of meta-memorialization, which routinely returns to the past while openly weighing the dangers of awakening the unburied dead against the dangers of letting the unaddressed conflicts of the past sleep

A Semi-Supervised Approach to Detecting Stance in Tweets

Stance classification aims to identify, for a particular issue under discussion, whether the speaker or author of a conversational turn has Pro (Favor) or Con (Against) stance on the issue. Detecting stance in tweets is a new task proposed for SemEval-2016 Task6, involving predicting stance for a dataset of tweets on the topics of abortion, atheism, climate change, feminism and Hillary Clinton. Given the small size of the dataset, our team created our own topic-specific training corpus by developing a set of high precision hashtags for each topic that were used to query the twitter API, with the aim of developing a large training corpus without additional human labeling of tweets for stance. The hashtags selected for each topic were predicted to be stance-bearing on their own. Experimental results demonstrate good performance for our features for opinion-target pairs based on generalizing dependency features using sentiment lexicons.Comment: @InProceedings{S16-1068, title = "NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets", "Misra, Amita and Ecker, Brian and Handleman, Theodore and Hahn, Nicolas and Walker, Marilyn",booktitle = "Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) ", year = "2016",publisher = "Association for Computational Linguistics"

Measuring the Fiscal Stance

In this paper we propose an index of the fiscal stance suitable for practical use in short-term policy making. The index is based on a comparison of a target level of the debt-GDP ratio for a given finite horizon with a forecast of the debt-GDP ratio based on a VAR formed from the government budget constraint. This approach to measuring the fiscal stance is different from the literature on fiscal sustainability. We emphasise the importance of having a forward-looking measure of the fiscal stance for the immediate future rather than a test for fiscal sustainability that is backward-looking, or based just on past behaviour which may not be closely related to the current fiscal position. We use our methodology to construct a time series of the indices of the fiscal stances of the US, the UK and Germany over the last 25 or more years. We find that both the US and UK fiscal stances have deteriorated considerably since 2000 and Germany's has been steadily deteriorating since unification in 1989, and worsened again on joining EMU.Budget deficits, government debt, fiscal sustainability, VAR analysis

Level-of-Aspiration Theory and Initial Stance in Bargaining

This research focuses on the effect of initial stance in bargaining. Following level-of-aspiration theory, the research examines whether the pattern of early concession making modifies the impact of tough vs. soft initial stance. The experiment manipulated opponent\u27s concession pattern (decreasing, constant, increasing) in the early phase of bargaining within an overall tough or soft initial stance. Results indicated that a decreasing concession pattern within the early bargaining extracted larger initial concessions than a constant or increasing concession pattern. Implications for Siegel and Fouraker\u27s (1960) level-of-aspiration theory are discussed