Showing 41 - 60 results of 149 for search '"The Awl"', query time: 0.08s Refine Results
  1. 41

    Academic word list knowledge of Malaysian ESL undergraduates by Nur Ainil Sulaiman, Khazriyati Salehuddin, Rozainee Khairuddin

    Published 2018
    “…Data were collected using a questionnaire, which comprised a list of words derived from the AWL. Findings show that AWL words from sub lists 8 until 10 (which consist of low frequency and low utility academic words) had the highest percentage of unknown AWL words reported by students compared to the other sub lists. …”
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    Article
  2. 42

    Frequency analysis of academic words in Malaysian secondary school English as second language textbooks: a corpus study by Noorizan, A. D., Shamsudin, S., Manan, A. A., Singh, M. K. S.

    Published 2017
    “…The development of Academic Word List (AWL) has raised awareness on the usefulness of general academic vocabulary among English as second language (ESL) learners especially in expanding their vocabulary size as well as constructing strong academic language foundation for their university education. …”
    Article
  3. 43

    Vocabulary Demands of Academic Spoken English Revisited: A Case of University Lectures and TED Presentations by Nguyen Huynh Trang, Duyen Thi Bich Nguyen, Hung Tan Ha

    Published 2023-02-01
    “…Research findings also indicated a strong supportive relationship between the AWL and the BNC/COCA wordlist. Learners with limited vocabulary knowledge at 1,000 and 2,000 levels could significantly increase their lexical coverage for academic lectures, seminars, and presentations with the support of the AWL. …”
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    Article
  4. 44

    Development of Kinetics Model for Torrefaction of Empty Fruit Bunch from Palm Oil Waste by Nur Hazirah Huda, Mohd Harun, Noor Asma Fazli, Abdul Samad, Suriyati, Saleh

    Published 2017
    “…During the torrefaction process, biomass is thermally decomposed thus resulted in biomass weight loss which is known as an anhydrous weight loss (AWL). As the properties of biomass are highly dependent on the AWL, therefore it is important to predict the reaction kinetics which will enable to describe the thermal degradation of the respective biomass for achieving the desired properties of torrefied biomass. …”
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    Article
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    Modelling Anhydrous Weight Loss of Torrefied Wood Sawdust by Siti Raishan, Mohd Rashid, Nur Hazirah Huda, Mohd Harun, Suriyati, Saleh, Noor Asma Fazli, Abdul Samad

    Published 2017
    “…During torrefaction process, biomass is thermally decomposed thus resulted in biomass weight loss which is known as an anhydrous weight loss (AWL). In this study, the kinetic parameters were predicted by two step reactions in series known as Di Blasi – Lanzetta model for both heating and isothermal phases to achieve the desired AWL of torrefied Cengal and Kulim sawdust at temperature of 240°C, 270°C, and 300°C. …”
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    Article
  7. 47

    Physicochemical properties changes on Malaysia’s biomass torrefaction and development of torrefaction correlation model by Nur Hazirah Huda, Mohd Harun

    Published 2019
    “…The models were validated with the experimental data therefore, can be implemented to predict the AWL of various biomass.…”
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    Thesis
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    Fluctuations of Training Load Variables in Elite Soccer Players U-14 throughout the Competition Season by Hadi Nobari, Masoud Kharatzadeh, Sara Mahmoudzadeh Khalili, Jorge Pérez-Gómez, Luca Paolo Ardigò

    Published 2021-10-01
    “…When compared with all other playing positions in terms of wAWL and wCWL, WM showed significantly greater values (<i>p</i> ≤ 0.05). …”
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    Article
  10. 50

    Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation by Lexuan Wang, Liguo Weng, Min Xia, Jia Liu, Haifeng Lin

    Published 2021-05-01
    “…In this method, each branch loss was treated as an independent task, AWL was proposed to calculate and adjust the weight of each branch. …”
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    Article
  11. 51

    Analysis of the Variability in Different Criteria to Define the Success of Bariatric Surgery: Retrospective Study 5-Year Follow-Up after Sleeve Gastrectomy and Roux-en-Y Gastric By... by Sergi Sanchez-Cordero, Amador Garcia Ruiz de Gordejuela, Ramon Vilallonga, Oscar Gonzalez, Ana Ciscar, Andreea Ciudin, Alba Zabalegui, Manuel Armengol

    Published 2022-12-01
    “…The success rates at 5 years are: EWL > 50% 464 (80%), Reinhold 436 (75.6%), Biron 530 (92%), TWL > 20% 493 (85.5%), AWL < 35% 419 (72.7); ≥50% EWL and alterable weight loss AWL > 35 were the most adequate criteria as their specificities and sensibility were far above >80%. (4) Conclusions: The present study shows how the different definitions of success or failure are inconsistent in relation to the outcomes of BS. …”
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  12. 52

    Generating the Specialized Engineering Word List for Students at Tertiary Level Education by Zuraina, Ali, Hafizoah, Kassim, Nurul Nadia, Mohammad, Rosnani, Ismail, Siti Norzaimalina, Abd Majid, Mohd Amir Izuddin, Mohamad Ghazali

    Published 2014
    “…Objective: The objectives of the paper are to determine the specialised engineering word contained in the engineering textbooks as well as to identify the percentage of words contain in Specialised Engineering Word List (SEWL) as it is compared to AWL. Results: This study has found that there are 66 words in SEWL and less than 20% of the words listed in SEWL are available in AWL. …”
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  13. 53

    A COMPARATIVE ASSESSMENT OF THE ACCURACIES OF RAYPEX 5, RAYPEX 6, IPEX AND IPEX II ELECTRONIC APEX LOCATORS: AN IN VITRO STUDY by Mügem Aslı GÜREL, Bağdagül HELVACIOĞLU-KIVANÇ, Adil EKİCİ

    Published 2017-01-01
    “…Differences between AWLs and EWLs were statistically compared. Results: No significant differences were found between four EALs. …”
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  14. 54

    VocabProfile: uma ferramenta linguístico-estatística para a aula de língua inglesa by Eduardo Batista Silva

    Published 2011-07-01
    “…Com relação ao trecho selecionado para estudo, os cálculos estatísticos do VP apontam o seguinte perfil lexical: K1= 85,50%, K2= 6,11%, AWL= 0,76% e OFF= 7,63%. Efetuamos também uma comparação entre dois corpora de gêneros distintos sob os auspícios do VP.…”
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    Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning by Wei Tian, Ping Song, Yuanyuan Chen, Haifeng Xu, Cheng Jin, Kenny Thiam Choy Lim Kam Sian

    Published 2024-03-01
    “…In this study, we propose a model for short-term intensity prediction based on adaptive weight learning (AWL-Net) for the evolution of the TC’s structure as well as intensity changes, exploring the multidimensional fusion of features including TC morphology, structure, and scale. …”
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    Article
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