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  1. Article ; Online: The evolving unity of structural mechanics in stretch-dominant textile architectures

    Rawal, Amit

    Textile Research Journal. 2023 Oct., v. 93, no. 19-20 p.4720-4726

    Dedicated to Prof. John William Stanley Hearle for his outstanding contribution to textile mechanics

    2023  

    Abstract: A library of textile materials with diverse length scales encompasses helically arranged fibril assemblies, filament yarns, nonwovens to braids, which share structural commonalities and mechanics stemming from constituent entities while subjected to ... ...

    Abstract A library of textile materials with diverse length scales encompasses helically arranged fibril assemblies, filament yarns, nonwovens to braids, which share structural commonalities and mechanics stemming from constituent entities while subjected to stretching. Herein, a generalized framework in the form of an analytical model for predicting the stress-strain behavior of textile materials that share structural similarities based on stretch-induced constituent entities has been proposed. A simple “Poisson's ratio” based criterion has also been devised to categorize the stretching-dominated or bending-dominated during tensile or compression deformation.
    Keywords deformation ; models ; nonwoven fabrics ; Materials ; modeling ; nonwoven ; structure-properties
    Language English
    Dates of publication 2023-10
    Size p. 4720-4726.
    Publishing place SAGE Publications
    Document type Article ; Online
    ZDB-ID 2209596-2
    ISSN 1746-7748 ; 0040-5175
    ISSN (online) 1746-7748
    ISSN 0040-5175
    DOI 10.1177/00405175231191285
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Multi-layered masks to combat COVID-19.

    Rawal, Amit

    The Indian journal of medical research

    2020  Volume 152, Issue 1 & 2, Page(s) 9–11

    MeSH term(s) Betacoronavirus/pathogenicity ; COVID-19 ; Coronavirus Infections/prevention & control ; Coronavirus Infections/virology ; Humans ; Masks/virology ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/virology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-12-11
    Publishing country India
    Document type Journal Article
    ZDB-ID 390883-5
    ISSN 0971-5916 ; 0019-5340
    ISSN 0971-5916 ; 0019-5340
    DOI 10.4103/ijmr.IJMR_2709_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.143: Show issues Location:
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  3. Article ; Online: Multi-layered masks to combat COVID-19

    Amit Rawal

    Indian Journal of Medical Research, Vol 152, Iss 1, Pp 9-

    2020  Volume 11

    Keywords Medicine ; R ; covid19
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: A correction to van Wyk’s model of the compressibility of fibrous materials

    Rawal, Amit

    Textile research journal. 2021 July, v. 91, no. 13-14

    2021  

    Abstract: van Wyk put forward a compression model of fibrous materials utilizing a library of analytical approaches, including the continuum mechanics, stereological, geometrical probability, least square method, and excluded area concept. In this letter, we wish ... ...

    Abstract van Wyk put forward a compression model of fibrous materials utilizing a library of analytical approaches, including the continuum mechanics, stereological, geometrical probability, least square method, and excluded area concept. In this letter, we wish to point out a key error noted in van Wyk’s work with the objective of correcting misconceptions that are held by the majority of us. Through this contribution, we question the “inverse cube” pressure-volume relationship of random fibrous materials. The pressure-volume relationship has been revisited by modifying the formulation of the mean length of a fiber element between consecutive contacts projected on the compression direction.
    Keywords compressibility ; fabrics ; mechanics ; models ; probability ; research
    Language English
    Dates of publication 2021-07
    Size p. 1682-1684.
    Publishing place SAGE Publications
    Document type Article
    ZDB-ID 2209596-2
    ISSN 1746-7748 ; 0040-5175
    ISSN (online) 1746-7748
    ISSN 0040-5175
    DOI 10.1177/00405175211017402
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Multi-layered masks to combat COVID-19

    Rawal, Amit

    Indian Journal of Medical Research

    2020  Volume 152, Issue 1, Page(s) 9

    Keywords General Biochemistry, Genetics and Molecular Biology ; General Medicine ; covid19
    Language English
    Publisher Medknow
    Publishing country in
    Document type Article ; Online
    ZDB-ID 390883-5
    ISSN 0019-5340 ; 0971-5916
    ISSN 0019-5340 ; 0971-5916
    DOI 10.4103/ijmr.ijmr_2709_20
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.143: Show issues Location:
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  7. Article ; Online: A survey of experimental stimulus presentation code sharing in major areas of psychology.

    Rawal, Amit / Truong, Vuong / Lo, Yu-Hui / Tseng, Lin-Yuan / Duncan, Niall W

    Behavior research methods

    2024  

    Abstract: Computer code plays a vital role in modern science, from the conception and design of experiments through to final data analyses. Open sharing of code has been widely discussed as being advantageous to the scientific process, allowing experiments to be ... ...

    Abstract Computer code plays a vital role in modern science, from the conception and design of experiments through to final data analyses. Open sharing of code has been widely discussed as being advantageous to the scientific process, allowing experiments to be more easily replicated, helping with error detection, and reducing wasted effort and resources. In the case of psychology, the code used to present stimuli is a fundamental component of many experiments. It is not known, however, the degree to which researchers are sharing this type of code. To estimate this, we conducted a survey of 400 psychology papers published between 2016 and 2021, identifying those working with the open-source tools Psychtoolbox and PsychoPy that openly share stimulus presentation code. For those that did, we established if it would run following download and also appraised the code's usability in terms of style and documentation. It was found that only 8.4% of papers shared stimulus code, compared to 17.9% sharing analysis code and 31.7% sharing data. Of shared code, 70% ran directly or after minor corrections. For code that did not run, the main error was missing dependencies (66.7%). The usability of the code was moderate, with low levels of code annotation and minimal documentation provided. These results suggest that stimulus presentation code sharing lags behind other forms of code and data sharing, potentially due to less emphasis on such code in open-science discussions and in journal policies. The results also highlight a need for improved documentation to maximize code utility.
    Language English
    Publishing date 2024-04-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 231560-9
    ISSN 1554-3528 ; 0743-3808 ; 1554-351X
    ISSN (online) 1554-3528
    ISSN 0743-3808 ; 1554-351X
    DOI 10.3758/s13428-024-02390-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  8. Article ; Online: The effect of visual statistical learning in RSVP: Implicit learning or stream location artifact?

    Rawal, Amit / Tseng, Philip

    Journal of experimental psychology. Learning, memory, and cognition

    2021  Volume 47, Issue 8, Page(s) 1246–1263

    Abstract: Visual statistical learning (VSL) occurs when participants are exposed to spatially or temporally ordered stimuli, and become increasingly sensitive to them without explicitly realizing the hidden regularities. In the temporal domain of VSL, participants ...

    Abstract Visual statistical learning (VSL) occurs when participants are exposed to spatially or temporally ordered stimuli, and become increasingly sensitive to them without explicitly realizing the hidden regularities. In the temporal domain of VSL, participants are usually exposed to shape-triplets, followed by the use of familiarity judgments and recognition tasks to directly probe VSL. Other methods, such as the rapid serial visual presentation (RSVP) task, indirectly probe the learning of temporal sequences, and provide evidence of learning within the triplets. Despite the RSVP's success, however, previous implementations of the RSVP task have only pseudorandomized the triplets to form the test sequence, such that the task permits only two stream locations for a given target shape (belonging to a certain within-triplet position), out of six available locations. These fixed locations may result in confounded response time (RT) findings and potentially lead to an overestimation of a weak (or nonexistent) VSL effect. In this study, we conduct 4 experiments and show that the previously reported VSL effect in RSVP is eliminated when the RSVP stream is fully counterbalanced (Experiment 1), and resurfaces again when the RSVP stream returns to its original pseudorandomized design (Experiment 2). Importantly, in both, we observe a "stream location effect," where RT gradually becomes faster to reflect the hazard rate of target appearance, which may have been the factor driving previously reported VSL effects. Follow-up experiments show that results from Experiment 1 are not due to the absence of implicit learning (Experiment 3), although the stream location effect can occur without any learning, suggesting that it is something inherent to the RSVP task (Experiment 4). Together, these results identify an influential effect, the stream location effect, inherently present in the RSVP task, and show how misinforming the RSVP task can be, when not used with properly controlled parameters, and demand a reexamination of the effects found in previous studies which could have been the effect of detection stream locations, misconstrued as VSL. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
    MeSH term(s) Artifacts ; Humans ; Judgment ; Reaction Time ; Recognition, Psychology ; Spatial Learning
    Language English
    Publishing date 2021-02-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 627313-0
    ISSN 1939-1285 ; 0278-7393
    ISSN (online) 1939-1285
    ISSN 0278-7393
    DOI 10.1037/xlm0000988
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2253: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: A Geometrical Account to Explain the Fat-Face Illusion.

    Rawal, Amit / Tseng, Philip

    i-Perception

    2020  Volume 11, Issue 6, Page(s) 2041669520981094

    Abstract: Investigations of the "fat-face" illusion have unanimously agreed that the illusion is face-specific. Here, we offer several manipulations to highlight that the fat-face illusion is not restricted to the bottom image, isn't a property of internal ... ...

    Abstract Investigations of the "fat-face" illusion have unanimously agreed that the illusion is face-specific. Here, we offer several manipulations to highlight that the fat-face illusion is not restricted to the bottom image, isn't a property of internal features, facial contour/texture, and in general isn't even specific to faces. We propose the axis of horizontal asymmetry account to contextualize fat-face illusion as a geometry-led illusion.
    Language English
    Publishing date 2020-12-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2619696-7
    ISSN 2041-6695 ; 2041-6695
    ISSN (online) 2041-6695
    ISSN 2041-6695
    DOI 10.1177/2041669520981094
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  10. Article: Tensile mechanics of buckypaper: Bridging the disconnect between disordered structure and carbon nanotube properties

    Singh, Danvendra / Rawal, Amit

    Carbon. 2022 Apr. 30, v. 190

    2022  

    Abstract: Carbon nanotubes (CNTs) are the building blocks of a variety of meso- and macro-scale assemblies. Buckypaper (BP) is a typical mesoscopic material that can possess tensile strength and modulus of up to three to four orders of magnitude lower than ... ...

    Abstract Carbon nanotubes (CNTs) are the building blocks of a variety of meso- and macro-scale assemblies. Buckypaper (BP) is a typical mesoscopic material that can possess tensile strength and modulus of up to three to four orders of magnitude lower than constituent CNTs. Identifying the “ruler” that not only predicts the realistic tensile properties of BP but also enables the scaling up of these characteristics with the aid of key CNT and structural parameters remains an open challenge. Herein, we propose a comprehensive theoretical framework to devise detailed tensile mechanics of the highly complex and fundamentally challenging random network of multi-walled carbon nanotubes (MWCNTs). A shell-based analytical model comprising intertube sliding and stretching as key modes of deformation has been constructed that successfully reduced Young's modulus of MWCNTs from 1 TPa to a few hundred megapascals in BP. Further, the tensile strength of BP has been modeled based upon the intertube sliding of MWCNTs at a stress that is well below their individual failure strength. A good agreement between the theoretical and experimental stress-strain curves of BPs justified that the predictive model is sufficiently robust. The parametric analysis on various metrics obtained from the analytical model has also been performed.
    Keywords carbon ; carbon nanotubes ; deformation ; models ; modulus of elasticity ; tensile strength
    Language English
    Dates of publication 2022-0430
    Size p. 299-311.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0008-6223
    DOI 10.1016/j.carbon.2022.01.004
    Database NAL-Catalogue (AGRICOLA)

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