background : lifting methods, including standing stance and techniques have wide effects on spine loading and stability. previous studies explored lifting techniques in many biomechanical terms and documented changes in muscular and postural response of body as a function of techniques .however, the impact of standing stance and lifting technique on human musculoskeletal had not been investigat...

We propose an approach for contrasting spatiotemporal dynamics of public opinions expressed toward targeted entities, also known as stance detection task, in Russia and Ukraine during crisis. Our analysis relies on a novel corpus constructed from posts on the VKontakte social network, centered on local public opinion of the ongoing RussianUkrainian crisis, along with newly annotated resources f...

We designed an fMRI experiment comparing perception of human faces and robotic faces producing emotional expressions. The purpose of our experiment was to investigate engagement of different parts of the social brain by viewing these animate and inanimate agents. Both human and robotic face expressions evoked activity in face-responsive regions in the fusiform gyrus and STS and in the putative ...

Hardware impairments in physical transceivers are acknowledged to have a lethal consequence on communication systems; Even though very scarce contributions have examined their influence on relaying. This paper gives a review one numerating effect in a two way amplify-and-forward (AF) configuration of transceiver impairments. More precisely the real signal to noise and distortion ratios at both ...

Abstract Usage-based linguistics postulates that multi-word expressions constitute a substantial part of language structure and use, are formed through repeated chunking stored as exemplar wholes. They also re-used to produce new sequences by means schematization. While there is extensive research on in many spoken languages, little known about the status mainstream U.S. variety American Sign L...

Abstract Stance detection (StD) aims to detect an author’s stance towards a certain topic and has become key component in applications like fake news detection, claim validation, or argument search. However, while is easily detected by humans, machine learning (ML) models are clearly falling short of this task. Given the major differences dataset sizes framing StD (e.g. number classes inputs), ...

This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i.e., English and Italian. The first experiment, launched on the CrowdFlower platform, was aimed at classifying temporal relations given target entities. The second one, relying on the CrowdTruth metric, consisted in two subtasks: one devoted to the recognition of events and...

We describe the TempEval-2 task which is currently in preparation for the SemEval-2010 evaluation exercise. This task involves identifying the temporal relations between events and temporal expressions in text. Six distinct subtasks are defined, ranging from identifying temporal and event expressions, to anchoring events to temporal expressions, and ordering events relative to each other.