Exploring EFL teachers’ perceptions of the use of peer assessment in external exam-dominated writing classes by Meletiadou, Eleni, Tsagari, Dina

“…Several studies on peer assessment (PA) have highlighted significant benefits for the learning process such as increased student motivation, enhanced collaborative learning (especially in terms of EFL writing) and improved reflection skills. …”
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Exploring the acceptance of mobile-assisted peer feedback in English speaking among Chinese EFL students by Weng, Jiayang, Noordin, Nooreen, Ahmad, Norhakimah Khaiessa

“…Grounded in the Technology Acceptance Model (TAM), this quasi-experimental study examined the use of Mobile-Assisted Peer Feedback (MAPF) tools via the Tencent Mini Programme among Chinese university EFL learners to enhance English speaking proficiency. …”
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Prevalence of sleep disturbance in patients with ankylosing spondylitis: a systematic review and meta-analysis by Salari, Nader, Sadeghi, Narges, Hosseinian-Far, Amin, Hasheminezhad, Razie, Khazaie, Habibolah, Shohaimi, Shamarina, Mohammadi, Masoud

“…Sleep disorders can aggravate the signs and symptoms of the disease and ultimately reduce the quality of patients’ lives. …”
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Advancements in multiple-step on-line preconcentration techniques for enhanced sensitivity in capillary electrophoresis by Abdul Keyon, Aemi Syazwani, Ng, Nyuk Ting, Breadmore, Michael Charles

“…Multiple-step on-line preconcentration, a combination of at least two stacking techniques has been developed to increase the sensitivity in capillary electrophoresis (CE) for analytes in various samples. …”

Rhetorical move-step analysis of argumentative essays by Chinese EFL undergraduate students by Liu, Hongjian, Ismail, Lilliati, Ahmad, Norhakimah Khaiessa

“…Rhetorical move-step analysis, an analytical approach within discourse analysis, is commonly employed to scrutinize the rhetorical structures inherent in various community genre practices. …”
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Two-step temperature deposited FePt bilayer for tunable magnetic properties by Dutta, Tanmay, Kundu, Shreya, Saifullah, M. S. M., Yang, Hyunsoo, Piramanayagam, Seidikkurippu Nellainayagam, Bhatia, C. S.

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Genome-wide association analysis of composite sleep health scores in 413,904 individuals by Goodman, MO, Faquih, T, Paz, V, Nagarajan, P, Lane, JM, Spitzer, B, Maher, M, Chung, J, Cade, BE, Purcell, SM, Zhu, X, Noordam, R, Phillips, AJK, Kyle, SD, Spiegelhalder, K, Weedon, MN, Lawlor, DA, Rotter, JI, Taylor, KD, Isasi, CR, Sofer, T, Dashti, HS, Rutter, MK, Redline, S

“…Moreover, sleep traits are moderately correlated, so together may provide a more complete picture of sleep health, while illuminating distinct domains. …”

Clinical and neuroimaging markers of prodromal neurodegeneration in rapid eye movement sleep behaviour disorder by Barber, TR

“…<p>Patients with rapid eye movement sleep behaviour disorder (RBD) have a high long-term risk of developing Parkinson’s disease or a related synucleinopathy. …”

One-Step Replica Symmetry Breaking of Random Regular NAE-SAT II by Nam, Danny, Sly, Allan, Sohn, Youngtak

“…Continuing our earlier work in Nam et al. (One-step replica symmetry breaking of random regular NAE-SAT I, <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://arxiv.org/abs/2011.14270">arXiv:2011.14270</jats:ext-link>, 2020), we study the random regular <jats:italic>k</jats:italic>-<jats:sc>nae-sat</jats:sc> model in the condensation regime. …”
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The contemporary age of square stepping exercise on cognitive and cohesion among older adults by Low, Kimmy Yi Ting

“…Background: Cognitive abilities decline as people age, thus engaging in brain-stimulating exercises are critical to keeping older adults engaged. The Square Stepping Exercise (SSE) serves this purpose as it incorporates the physical and cognitive exercise regime. …”
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Step motion control of servo motors for robotic orthosis triggered by bio signal by Tommy Kangdra.

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Women in combat roles in US military : still a small step to equality by Fitriani, Matthews, Ron

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Characterization and combustion modeling of agricultural and plastic waste mixture in step grate furnace by Anshar, Muhammad

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Progress in the step programme towards understanding REBCO coated conductors in the fusion environment by Iliffe, W, Chislett-McDonald, S, Harden, F, Adams, K, Tufnail, J, Grovenor, C, Speller, S, Reilly, A, Wimbush, SC, Nasr, E

“…The UKAEA's Spherical Tokamak for Energy Production (STEP) programme aims to demonstrate the ability of low aspect ratio tokamaks to generate net electricity from deuterium-tritium (DT) fusion. …”

A step change needed to secure a nature-positive future—is it in reach? by Narain, D, Bull, JW, Alikhanova, S, Evans, MC, Markham, R, Maron, M

“…But since then, biodiversity losses and increasing threats have outpaced the conservation response. A step change is needed to reverse this trend and will require scaled-up action across society, including from governments, businesses, and financial institutions.…”

Multiple wavelength fringe analysis for surface profile measurements by Upputuri, Paul Kumar, Pramanik, Manojit

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The effects of peer instruction through social learning environment towards students' cognitive load and learning performance / by Edwards, Bosede Iyiade, 1971-, author 549822, Baharuddin Aris, supervisor 221554, Nurbiha A. Shukor, 1986-, supervisor 535223, Hasnah Mohamed, 1966-, supervisor 535272, Fakulti Pendidikan 8185

The effects of peer instruction through social learning environment towards students' cognitive load and learning performance / by Edwards, Bosede Iyiade, 1971-, author 549822

Fatigue and sleep quality among cancer patients receiving chemotherapy in Hospital Universiti Sains Malaysia by Phey, Cheong Phey

“…This study aims to assess the levels of fatigue and sleep quality among cancer patients receiving chemotherapy. …”
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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology by Nunes, Adonay S., Patterson, Matthew R., Gerstel, Dawid, Khan, Sheraz, Guo, Christine C., Neishabouri, Ali

“…In this study, we applied a deep learning domain adversarial convolutional neural network (DACNN) model to this task and demonstrated that this new model outperformed existing sleep algorithms in classifying sleep–wake and estimating sleep outcomes based on wrist-worn accelerometry. …”
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