نتایج جستجو برای: back task

تعداد نتایج: 442658  

Introduction and purpose: Workload can be defined as the worker’s required capacity to fulfill a special level of performance while doing a task. Workload depends on the type of occupation and its task repetition, intensity, duration, and psychological factors. The increase in workload can result in the enhancement of musculoskeletal disorders. Regarding this, the aim ...

پایان نامه :دانشگاه تربیت معلم - سبزوار - دانشکده ادبیات و زبانهای خارجی 1390

this study investigated the effects of planning on second-language written production with regard to task type. the participants were 75 iranian learners of english as a foreign language attending a private foreign language institution. they were asked to complete two different types of writing tasks (expository writing task and argumentative writing task) in different planned conditions (indiv...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده ادبیات و علوم انسانی 1392

abstract the present study was conducted in order to investigate the impact of an integrated model of form-focused and task-based instruction on iranian efl learners vocabulary learning and retention.it also aimed to detect efl learners attitude towards the implementation of form-focused task-based vocabulary instruction in the classroom. in order to address the purposes of this study, a sampl...

2015
Erin L. Beatty Marie-Eve Jobidon Fethi Bouak Ann Nakashima Ingrid Smith Quan Lam Kristen Blackler Bob Cheung Oshin Vartanian

N-back working memory (WM) tasks necessitate the maintenance and updating of dynamic rehearsal sets during performance. The delayed matching-to-sample (dMTS) task is another WM task, which in turn involves the encoding, maintenance, and retrieval of stimulus representations in sequential order. Because both n-back and dMTS engage WM function, we hypothesized that compared to a control task not ...

Mahesh Pal Pankaj Chandna Surinder Deswal

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...

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