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Journal articles on the topic 'Non-mobile'

Author: Grafiati

Published: 19 February 2023

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1

Grant, Daniel A., Danielle A. Grant, M. Jane Flynn, and Jørgen Slots. "Periodontal Microbiota of Mobile and Non-Mobile Teeth." Journal of Periodontology 66, no. 5 (May 1995): 386–90. http://dx.doi.org/10.1902/jop.1995.66.5.386.

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2

Wiers‐Jenssen, Jannecke. "Background and Employability of Mobile vs. Non‐Mobile Students." Tertiary Education and Management 17, no. 2 (June 2011): 79–100. http://dx.doi.org/10.1080/13583883.2011.562524.

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3

Mecrow, I. "Bruising in non-mobile babies." Archives of Disease in Childhood 99, no. 7 (April 4, 2014): 699. http://dx.doi.org/10.1136/archdischild-2014-306295.

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4

Irwansyah, Irwansyah. "Emosional Pengguna Dalam Mengakses Aplikasi Situs Non Mobile Dan Mobile." InterKomunika 2, no. 2 (December 16, 2017): 123. http://dx.doi.org/10.33376/ik.v2i2.31.

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Abstract. Emotional side of user toward communication medium should be studied especially about non mobile and mobile site application. Therefore, this research compared emotional user experience while assessing the applications on non mobile and mobile site. This study applied user experience indicators focused on aesthethic visual and interface dimensions. The Equivalent Time-Samples and semantic differential scale were applied. There are nine indicators valid and reliable statistically from 43 of the proposed indicators. T-Test showed that the hypothesis on emotional user experience while accessing the applications on non mobile and mobile site was different and significant. This study also identified that the mobile site is better than non mobile site. Abstrak. Sisi emosi pengguna dalam mengakses media komunikasi perlu diamati terutama pada aplikasi situs non mobile dan mobile. Oleh karena itu, penelitian ini membandingkan pengalaman emosional pengguna dalam menggunakan aplikasi situs non mobile dan mobile. Penelitian ini menggunakan konsep pengalaman pengguna dengan memfokuskan pada dimensi estetika visual dan wajah depan aplikasi situs mobile dan non mobile. Dengan desain eksperimen The Equivalent Time-Samples dan skala semantik diferensial menunjukkan terdapat sembilan indikator yang valid dan reliabel dari 43 indikator yang diproposisi. Kemudian uji hipotesis T dependen membuktikan pengalaman emosional pengguna mengakses aplikasi situs non mobile dan mobile memiliki perbedaan dan signifikan. Penelitian ini juga menunjukkan aplikasi situs mobile lebih baik dibandingkan dengan aplikasi situs non mobile.

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5

He, Ruisi, Bo Ai, Gordon L. Stuber, and Zhangdui Zhong. "Mobility Model-Based Non-Stationary Mobile-to-Mobile Channel Modeling." IEEE Transactions on Wireless Communications 17, no. 7 (July 2018): 4388–400. http://dx.doi.org/10.1109/twc.2018.2824804.

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6

MATOS, ANA ALMEIDA, and JAN CEDERQUIST. "Non-disclosure for distributed mobile code." Mathematical Structures in Computer Science 21, no. 6 (October 27, 2011): 1111–81. http://dx.doi.org/10.1017/s096012951100017x.

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With the emergence of the new possibilities offered by global computing, new security issues follow from the fact that these possibilities can be equally exploited by parties with malicious intentions. Many attacks arise at the application level, and can be tackled by means of programming language techniques. For instance, confidentiality can be violated during the execution of programs that reveal secret information. This kind of program behaviour can be avoided by information flow analyses that detect the encoding of illegal flows.This paper studies information flows that occur in distributed programs with code mobility from a language-based security perspective. New forms of security leaks that are introduced by code mobility, which we callmigration leaks, are presented and compared with well-known forms of illegal flow. We propose an information flow property that is adequate for networks consisting of a generalisation of the non-disclosure policy. We design a type and effect system for enforcing it on an expressive distributed calculus, and explain a soundness proof methodology in detail.

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7

Degano, Pierpaolo, and Corrado Priami. "Non-interleaving semantics for mobile processes." Theoretical Computer Science 216, no. 1-2 (March 1999): 237–70. http://dx.doi.org/10.1016/s0304-3975(99)80003-6.

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8

Merryfield, V. "Non-volatile storage for mobile phones." Communications Engineer 1, no. 2 (April 1, 2003): 22–25. http://dx.doi.org/10.1049/ce:20030205.

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9

Hislop, Donald, and Carolyn Axtell. "Mobile phones during work and non-work time: A case study of mobile, non-managerial workers." Information and Organization 21, no. 1 (January 2011): 41–56. http://dx.doi.org/10.1016/j.infoandorg.2011.01.001.

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10

Hussein, Mahmoud. "A Non-linear Dynamic Controller for Differential Drive Mobile Robot Trajectory Tracking." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 837–45. http://dx.doi.org/10.5373/jardcs/v12sp8/20202587.

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11

Assanova, D., and A. Prlepessova. "The role of educational mobile apps in learning English (non-linguistic specialties)." Bulletin of the Karaganda University. Pedagogy series 98, no. 2 (June 30, 2020): 121–25. http://dx.doi.org/10.31489/2020ped2/121-125.

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12

Su, Fan, Di Zou, Haoran Xie, and Fu Lee Wang. "A Comparative Review of Mobile and Non-Mobile Games for Language Learning." SAGE Open 11, no. 4 (October 2021): 215824402110672. http://dx.doi.org/10.1177/21582440211067247.

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Recent studies have increasingly investigated the effectiveness of both mobile and non-mobile digital game-based language learning. To gain an in-depth understanding of the differences in the effectiveness of mobile and non-mobile games, we compared studies from January 2000 to August 2020 investigating mobile game-based language learning (MGBLL) and non-mobile game-based language learning (NMGBLL). Sixty-four articles were analyzed from four aspects: game types, game elements, target languages, and learning outcomes. The results showed that (a) gamification, simulation games, and immersive games were applied most; (b) all games possessed the game elements of goals or rules; (c) the most investigated target languages were English and Chinese; and (d) the most discussed learning outcomes were language acquisition and psychological/affective state. The similarities and differences between MGBLL and NMGBLL were also identified. The current review provides an overview and in-depth analysis of mobile and non-mobile games for language learning, guiding practitioners to select appropriate digital games to cater to specific language teaching goals. Future directions of research are also discussed.

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13

Fino, Debora, Nunzio Russo, Claudio Badini, Guido Saracco, and Vito Specchia. "Mobile and non-mobile catalysts for diesel-particulate combustion: A kinetic study." Korean Journal of Chemical Engineering 20, no. 3 (May 2003): 451–56. http://dx.doi.org/10.1007/bf02705546.

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14

Miyamoto, Yuki, Hiroto Ito, Toshio Otsuka, and Hiroshi Kurita. "Caregiver burden in mobile and non-mobile demented patients: a comparative study." International Journal of Geriatric Psychiatry 17, no. 8 (2002): 765–73. http://dx.doi.org/10.1002/gps.694.

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15

Raynova, Yvanka B. "La "fête mobile" de la non-philosophie." Labyrinth 19, no. 2 (March 14, 2018): 5. http://dx.doi.org/10.25180/lj.v19i2.100.

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The "moveable feast" of non-philosophy(Abstract) The editorial aims to unveil the attracting force of Laruelle's non-philosophy for scholars from different disciplines and artists. It shows how a new "democratic order of thinking" permits non-philosophy to enclose domains that have long been considered as opposites: philosophy, science, religion and the arts. Conceived as parameters of thought of the same right and without privileges, these variables can be superposed in a process of creative invention. The performative force of non-standard thinking, which can take different forms of philo-fiction, science fiction, art fiction, Christo-Fiction etc., dismantles the decisional gestures and the sufficiency claims of philosophy, science and religion, and thus permits a regeneration as well as a choral orchestration in a "minimalistic symphony". In this sense, non-philosophy invites us every day to the "movable feast", that it is.

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16

Jordan, G., R. Thomasius, H. Schröder, J. S. Wulf, O. Schlüter, B. Sumpf, M. Maiwald, et al. "Non-invasive mobile monitoring of meat quality." Journal für Verbraucherschutz und Lebensmittelsicherheit 4, no. 1 (February 2009): 7–14. http://dx.doi.org/10.1007/s00003-009-0389-1.

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17

Watanabe, Takafumi, Tomoya Sasaki, Zendai Kashino, and Masahiko Inami. "Design of Non-contact Surrounding Mobile Robot:." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (2022): 1A1—N06. http://dx.doi.org/10.1299/jsmermd.2022.1a1-n06.

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18

Vehovar, Vasja, Eva Belak, Zenel Batagelj, and Sanja Čikić. "Mobile phone surveys." Advances in Methodology and Statistics 1, no. 1 (January 1, 2004): 1–19. http://dx.doi.org/10.51936/thox1964.

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In 2004, the number of mobile phone subscriptions in Slovenia reached the total number of inhabitants. Consequently, the fixed telephone coverage has started to decline; almost 10% of households are now available only over the mobile phone. With this, Slovenia positions itself as a typical EU country and can serve as a case study for issues related to mobile phone interview surveys. The paper addresses the general context of mobile phone usage and the calculations of mobile phone coverage rates. It also discusses the non-coverage problems related to mobile and mobile-only households. It is shown, that even with a relatively small non-coverage the corresponding estimates can be considerably biased, as in the case of the unemployment rate in the Slovenian Labour Force Survey. There are severe methodological problems with mobile phone interview surveys. In particular, a pilot mobile phone survey confirmed the disadvantages of costs, frames and response rates, at least when compared to fixed telephone surveys. In addition, the response rates are dramatically lower for less intensive mobile phone users. The comparisons of respondents in mobile phone surveys with the corresponding sub-samples in Labour Force Surveys and in fixed telephone surveys revealed some specific discrepancies in the socio-demographic structure. Due to non-coverage, the respondents in the mobile phone survey tend to be younger, higher educated, from larger households and are represented by a larger share of males. The non-response mechanism can additionally reinforce these effects (e.g, gender), however it can also cancel them (e.g., age, household size). Special complexity arises from the diverse effects of the non-response components (refusal vs. non-contact). According to their attitudes towards mobile phone use, mobile phone users compose three distinct segments (intensive pragmatic and emotional users, less intensive users) that may behave differentially also during the mobile phone survey process.

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19

Rohmer, Kai, Johannes Jendersie, and Thorsten Grosch. "Natural Environment Illumination: Coherent Interactive Augmented Reality for Mobile and Non-Mobile Devices." IEEE Transactions on Visualization and Computer Graphics 23, no. 11 (November 2017): 2474–84. http://dx.doi.org/10.1109/tvcg.2017.2734426.

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20

Gutierrez, Carlos A., Jose T. Gutierrez-Mena, Jose M. Luna-Rivera, Daniel U. Campos-Delgado, Ramiro Velazquez, and Matthias Patzold. "Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels." IEEE Transactions on Vehicular Technology 67, no. 1 (January 2018): 362–77. http://dx.doi.org/10.1109/tvt.2017.2737952.

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21

Izquierdo-Yusta, Alicia, Cristina Olarte-Pascual, and Eva Reinares-Lara. "Attitudes toward mobile advertising among users versus non-users of the mobile Internet." Telematics and Informatics 32, no. 2 (May 2015): 355–66. http://dx.doi.org/10.1016/j.tele.2014.10.001.

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22

Dahech, Wiem, Matthias Patzold, Carlos A. Gutierrez, and Neji Youssef. "A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations." IEEE Transactions on Wireless Communications 16, no. 3 (March 2017): 1987–2000. http://dx.doi.org/10.1109/twc.2017.2659723.

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23

Rapple, Charlie. "The mobile world: one non-profit publisher's journey." Serials: The Journal for the Serials Community 24 (November 1, 2011): S57—S64. http://dx.doi.org/10.1629/24s57.

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24

Lim, Say Ying, David Taniar, and Bala Srinivasan. "Mobile Information Processing Involving Multiple Non-collaborative Sources." International Journal of Business Data Communications and Networking 3, no. 2 (April 2007): 72–93. http://dx.doi.org/10.4018/jbdcn.2007040105.

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25

Cuomo, Raffaele, Davide D’Agostino, and Mario Ianulardo. "Mobile Forensics: Repeatable and Non-Repeatable Technical Assessments." Sensors 22, no. 18 (September 19, 2022): 7096. http://dx.doi.org/10.3390/s22187096.

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This paper presents several scenarios where digital evidence can be collected from mobile devices, their legal value keeping untouched. The paper describes a robust methodology for mobile forensics developed through on-field experiences directly gained by the authors over the last 10 years and many real court cases. The results show that mobile forensics, digital analysis of smartphone Android or iOS can be obtained in two ways: on the one hand, data extraction must follow the best practice of the repeatability procedure; on the other hand, the extraction of the data must follow the best practice of the non-repeatability procedure. The laboratory study of the two methods for extracting digital data from mobile phones, for use as evidence in court trials, has shown that the same evidence can be obtained even when the procedure of unavailability of file mining activities has been adopted. Indeed, thanks to laboratory tests, the existence of multiple files frequently and continuously subjected to changes generated by the presence of several hashes found at forensic extractions conducted in very short moments of time (sometimes not exceeding 15 min) has been proven. If, on the other hand, the examination of a device is entrusted to a judicial police officer in order to conduct a forensic analysis to acquire data produced and managed by the user (such as images, audio, video, documents, SMS, MMS, chat conversations, address book content, etc.) we have sufficient grounds to believe that such examination can be organized according to the system of repeatable technical assessments.

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26

LI, Jingtao. "Non-stabilization Structural Mobile Robot with Duplex Modes." Journal of Mechanical Engineering 45, no. 05 (2009): 147. http://dx.doi.org/10.3901/jme.2009.05.147.

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27

Sidibe, Marie, Drissa Traore, and Yi Fu. "A Two-Wheeled Mobile Non-Inverted-Pendulum Robot." International Journal of Robotics and Automation Technology 3, no. 1 (September 7, 2016): 1–6. http://dx.doi.org/10.15377/2409-9694.2016.03.01.1.

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28

Shiono, K., J. Spooner, T. Chan, P. Rameshwaran, and J. Chandler. "Flow characteristics in meandering channels with non-mobile." Journal of Hydraulic Research 46, no. 1 (January 2008): 113–32. http://dx.doi.org/10.1080/00221686.2008.9521848.

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29

Valkonen, R., J. Ilvonen, C. Icheln, and P. Vainikainen. "Inherently non‐resonant multi‐band mobile terminal antenna." Electronics Letters 49, no. 1 (January 2013): 11–13. http://dx.doi.org/10.1049/el.2012.3427.

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30

Matz, G. "Statistical characterization of non-WSSUS mobile radio channels." e & i Elektrotechnik und Informationstechnik 122, no. 3 (March 2005): 80–84. http://dx.doi.org/10.1007/bf03054040.

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31

Chourasiya, Shikha, P. K. Mohapatra, and Shivam Tripathi. "Non-intrusive underwater measurement of mobile bottom surface." Advances in Water Resources 104 (June 2017): 76–88. http://dx.doi.org/10.1016/j.advwatres.2017.03.009.

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32

Christophe, Benoit, Maribel Narganes, Ville Antila, and Linas Maknavicius. "Mobile execution environment for non-intermediated content distribution." Bell Labs Technical Journal 15, no. 4 (February 24, 2011): 117–34. http://dx.doi.org/10.1002/bltj.20476.

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33

Groß, Michael. "Differences between mobile and non-mobile buyers: comparing attitudinal, motive-related, and media behaviour." International Journal of Electronic Marketing and Retailing 11, no. 1 (2020): 50. http://dx.doi.org/10.1504/ijemr.2020.10028104.

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34

Groß, Michael. "Differences between mobile and non-mobile buyers: comparing attitudinal, motive-related, and media behaviour." International Journal of Electronic Marketing and Retailing 11, no. 1 (2020): 50. http://dx.doi.org/10.1504/ijemr.2020.106433.

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35

Pratt, Thomas G., Brett T. Walkenhorst, and Heewon Kang. "Analysis of Multiantenna Architectures for Non-LOS Mobile-to-Mobile Communications in Cochannel Interference." IEEE Transactions on Vehicular Technology 56, no. 4 (July 2007): 2168–79. http://dx.doi.org/10.1109/tvt.2007.895497.

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36

Cheng, Xiang, Cheng-Xiang Wang, David Laurenson, Sana Salous, and Athanasios Vasilakos. "An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels." IEEE Transactions on Wireless Communications 8, no. 9 (September 2009): 4824–35. http://dx.doi.org/10.1109/twc.2009.081560.

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37

Vladareanu, Victor, Gabriela Tont, Luige Vladareanu, and Florentin Smarandache. "The navigation of mobile robots in non-stationary and non-structured environments." International Journal of Advanced Mechatronic Systems 5, no. 4 (2013): 232. http://dx.doi.org/10.1504/ijamechs.2013.057663.

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38

Brown, Matt I., and Michael A. Grossenbacher. "Can you test me now? Equivalence of GMA tests on mobile and non-mobile devices." International Journal of Selection and Assessment 25, no. 1 (February 7, 2017): 61–71. http://dx.doi.org/10.1111/ijsa.12160.

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39

Almuairfi, Sadiq, Prakash Veeraraghavan, and Naveen Chilamkurti. "A novel image-based implicit password authentication system (IPAS) for mobile and non-mobile devices." Mathematical and Computer Modelling 58, no. 1-2 (July 2013): 108–16. http://dx.doi.org/10.1016/j.mcm.2012.07.005.

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40

Akram, Muhammad I., and Asrar U. H. Sheikh. "On the second order statistics of non-isotropic Nakagami Hoyt mobile to mobile fading channel." AEU - International Journal of Electronics and Communications 67, no. 7 (July 2013): 549–56. http://dx.doi.org/10.1016/j.aeue.2012.12.003.

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41

Illingworth, A. James, Neil A. Morelli, John C. Scott, and Scott L. Boyd. "Internet-Based, Unproctored Assessments on Mobile and Non-Mobile Devices: Usage, Measurement Equivalence, and Outcomes." Journal of Business and Psychology 30, no. 2 (June 13, 2014): 325–43. http://dx.doi.org/10.1007/s10869-014-9363-8.

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42

Bigné, Enrique, Carla Ruiz, and Silvia Sanz. "Key Drivers of Mobile Commerce Adoption. An Exploratory Study of Spanish Mobile Users." Journal of Theoretical and Applied Electronic Commerce Research 2, no. 2 (August 1, 2007): 48–60. http://dx.doi.org/10.3390/jtaer2020013.

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Despite dramatic differences between non-store shoppers were discovered, very limited research has been conducted to examine them. This paper analyses the background of M-commerce and key drivers of future Mcommerce decision among Spanish mobile users. Our objective is two-fold: (1) to determine the influence of relations with the Mobile (frequency of Mobile use, length of Mobile use and Mobile affinity), demographics, non-store shopping previous experience (mail, catalogue, Television and Internet) and attitude to M-commerce and its influence on the M-commerce decision and (2) to identify key drivers of future M-commerce intention. We examined data from 606 personal interviews given to Spanish mobile users (270 Mobile shoppers and 336 non Mobile-shoppers) over 14 years old. Data analysis shows that age, attitude towards M-commerce, Internet shopping previous experience and relations with the Mobile (frequency, length of Mobile use and Mobile affinity) are the main predictors of M-commerce decision while age, length of Mobile use, Mobile affinity, consumer attitude towards M-commerce and previous M-commerce experience are the most relevant factors influencing future M-commerce intention. Based on these empirical results this research enables companies to know the key drivers influencing M-commerce adoption and, therefore, what aspects to highlight in their marketing strategies.

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43

Wu, J., A. L. Guzzomi, and M. Hodkiewicz. "Static stability analysis of non-slewing articulated mobile cranes." Australian Journal of Mechanical Engineering 12, no. 1 (January 2014): 60–76. http://dx.doi.org/10.7158/m12-108.2014.12.1.

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44

Babalyan, A. V., and A. O. Karelin. "Non-thermal effects of mobile phone radiation on brain." Scientific Notes of the I. P. Pavlov St. Petersburg State Medical University 22, no. 4 (December 30, 2015): 16–19. http://dx.doi.org/10.24884/1607-4181-2015-22-4-16-19.

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This article gives a review of major experimental studies devoted to the effect of mobile phone electromagnetic emission on brain. The most relevant and fundamental studies were reviewed. Both positive and negative results were analyzed to give a straight answer, if mobile phone emission effects brain electrophysiology, cognitive function, subjective symptoms and blood-brain barrier permeability.

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45

Abhinay, B. Sai, T. S. K. M. D. Abhishek, and K. Madhavi. "Estimating Non-Functional Requirements Using Different Mobile Operating Systems." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (June 30, 2017): 468–73. http://dx.doi.org/10.23956/ijarcsse/v7i6/0210.

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46

Lim, Say Ying, David Taniar, and Bala Srinivasan. "On-Mobile Query Processing Incorporating Multiple Non-Collaborative Servers." Ingénierie des systèmes d'information 10, no. 5 (October 24, 2005): 9–38. http://dx.doi.org/10.3166/isi.10.5.9-38.

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47

Muhammad, Beverly, Conja Wright, Pamela J. Van Den Bussche, and Jaime Klein. "Mobile Communication Device Usage: Perceptions of Non-Supervisory Employees." Review of Business Information Systems (RBIS) 17, no. 1 (January 3, 2013): 21–36. http://dx.doi.org/10.19030/rbis.v17i1.7616.

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The increased usage of mobile communication devices (MCDs) in the workplace has been controversial regarding whether they increase or decrease productivity, whether work-life balance is affected by use, and whether employers have the right to monitor usage. This paper includes research that addressed each of these three issues linked to employee use of MCDs. Past research provided conflicting results in three areas - work-life balance, productivity, and employee monitoring. A quantitative study of 60 non-supervisory employees in Arizona, Michigan, and Illinois, consisting of an online survey, was carried out to determine perceptions of whether use of MCDs for work purposes affects work-life balance or productivity and perceptions on employers monitoring usage of work-issued MCDs. Sixty-seven percent of respondents stated that their duties require the use of MCDs and, of those 62%, each stated that his or her MCD is a Smartphone. The majority stated that Smartphones were MCDs given to them by the employer. Other MCDs were cell phones and tablets which, combined, accounted for 35% of the responses. Fifty-three percent of the respondents stated that the use of the MCD did not impact work-life balance, eighty-eight percent stated that the use of the MCD increased productivity, and eighty-seven percent stated that their employer does not monitor usage of their MCD. Research findings may vary and depend on participants. Supervisors may have different viewpoints. However, the required use of these devices in the workplace keeps increasing, so it is appropriate for employers to clearly find a benefit for their use.

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48

Mittal, Saurabh, and Vikas Kumar. "A strategic framework for non-intrusive mobile marketing campaigns." International Journal of Electronic Marketing and Retailing 13, no. 2 (2022): 190. http://dx.doi.org/10.1504/ijemr.2022.121819.

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49

Mittal, Saurabh, and Vikas Kumar. "A strategic framework for non-intrusive mobile marketing campaigns." International Journal of Electronic Marketing and Retailing 13, no. 2 (2022): 190. http://dx.doi.org/10.1504/ijemr.2022.10044284.

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50

LIU, Peng, Mingwei HU, Huabo DUAN, and Xiaolong SHI. "Emission inventory of non-road mobile machinery in Shenzhen." Journal of Shenzhen University Science and Engineering 38, no. 04 (July 1, 2021): 331–39. http://dx.doi.org/10.3724/sp.j.1249.2021.04331.

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