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Journal articles on the topic 'Human model'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Rudnicki, Seweryn. "Disability, representation and translation - how can sociology move beyond the social model?" Studia Humanistyczne AGH 17, no. 3 (2018): 79. http://dx.doi.org/10.7494/human.2018.17.3.79.

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2

Siddiqui, Dr Mujibul Hasan. "Awareness Training Model of Teaching : Increasing Human Awareness." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 97–99. http://dx.doi.org/10.15373/22778179/may2013/36.

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3

KOVÁČ, Ondrej, and Ján MIHALÍK. "LOSSLESS ENCODING OF 3D HUMAN HEAD MODEL TEXTURES." Acta Electrotechnica et Informatica 15, no. 3 (September 1, 2015): 18–23. http://dx.doi.org/10.15546/aeei-2015-0024.

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4

Kumar, R. ANIL, and R. I. Sathya R.I. Sathya. "Real Time 2D Garment Simulation on Wireframe Human Model." Indian Journal of Applied Research 4, no. 5 (October 1, 2011): 305–8. http://dx.doi.org/10.15373/2249555x/may2014/88.

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5

Morozov, V. A. "The general human model and the economic human model." Management and Business Administration, no. 3 (October 19, 2022): 146–54. http://dx.doi.org/10.33983/2075-1826-2022-3-146-154.

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This article is devoted to the study of modern approaches to the formation and understanding of human portraits and modeling of a general model — a human schema. The ideas of scientific schools about the economic man and the evolution of the model of his development are considered. The methods of formation of a modern economic person in the context with other subsystems of society are investigated. The author expands the understanding of the subsystems of society on the basis of: organizational approach and modern requirements for its integration and diversification; development of STP; compatibility of values and needs of man and society. A general model-scheme of a person is proposed, which includes all known groups and types of human models.

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6

OHMURA, Ren. "Prediction of Human Pointing Gesture with Minimum-Jerk Model for Human-Robot Interaction and Its Evaluation." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 28, no. 6 (2016): 911–19. http://dx.doi.org/10.3156/jsoft.28.911.

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7

METIN, Kivilcim, and Senay CDOGRUK. "HUMAN CAPITAL MODEL." Ekonomik Yaklasim 8, no. 27 (1997): 283. http://dx.doi.org/10.5455/ey.10277.

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8

Szpytko, Janusz. "Human Reliability Model." Journal of Konbin 8, no. 1 (January 1, 2008): 189–200. http://dx.doi.org/10.2478/v10040-008-0112-9.

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Human Reliability ModelThe paper is focusing on reliability model of transport devices' human operator. The presented operator model is base on operation potential approach, with taken into account his features and states helping assure of safety decision-making process. The human reliability model is important for future improvement the human - machine interfaces (HMI).

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9

Mäkitalo, Niko, Daniel Flores-Martin, Huber Flores, Eemil Lagerspetz, Francois Christophe, Petri Ihantola, Masiar Babazadeh, et al. "Human Data Model." ACM Transactions on Computing for Healthcare 1, no. 4 (December 2020): 1–39. http://dx.doi.org/10.1145/3402524.

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10

Jo, Young Nam, Moon Jeong Kang, and Hong Hee Yoo. "GS11-7 Development of a seated human vibration model in which muscle models are employed(GS11: Computational Biomechanics)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2015.8 (2015): 220. http://dx.doi.org/10.1299/jsmeapbio.2015.8.220.

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Ghazanfari, Dr Morteza, Saeed Domirani, and Hamed Hamze. "Human resources strategies approach in organizations with network model (supply chain model) “Case study: defense industries organizations”." International Academic Journal of Organizational Behavior and Human Resource Management 05, no. 01 (June 6, 2018): 63–83. http://dx.doi.org/10.9756/iajobhrm/v5i1/1810004.

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12

Dubiel, Monika. "TOGETHER OR SEPARATED? THE SEGREGATIVE AND INTEGRATIVE MODEL OF CULTURAL ACCESSIBILITY FOR PERSONS WITH DISABILITIES." Studia Humanistyczne AGH 19, no. 3 (2020): 139–54. http://dx.doi.org/10.7494/human.2020.19.3.139.

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Culture takes an increasingly important position in the debate about the accessibility of public space for persons with disabilities. Many questions about how to include them in cultural life have emerged. The subject of the present article is a theoretical reflection on actions taken in this area by cultural institutions and non-governmental organizations. Basing on a comparative analysis of two events of such kind, and using the achievements of special pedagogy, I present two models of cultural accessibility for persons with disabilities: the separative and integrative model. I ponder on their advantages and disadvantages. I conclude by claiming that both can be useful in the process of making culture accessible for persons with disabilities, providing that the beneficiaries will be allowed to choose what kind of events they will attend. These considerations accord with the recently burgeoning field of accessibility studies, while disability studies serves as a broad theoretical frame.

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13

Lovász, Maria-Elisabeta, Irina Dumitraşcu, and Eugen Stelian Gurzău. "Human Exposure to an Organophosphate Pesticide During Spraying – an Experimental Model." Indian Journal of Applied Research 4, no. 2 (October 1, 2011): 44–3. http://dx.doi.org/10.15373/2249555x/feb2014/67.

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14

Lateef, Rana Abdulrahman, and Dr Ayad Rodhan Abbas. "A Proposed ConvXGBoost Model for Human Activity Recognition with Multi Optimizers." Webology 19, no. 1 (January 20, 2022): 1703–15. http://dx.doi.org/10.14704/web/v19i1/web19114.

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The wide use of smartphones and later smartwatches equipped with a set of sensors such as location, motion, and direction blaze the trail for researchers to better recognize human activity. However, researches on using inertial or motion sensors (i.e., accelerometer, gyroscope) for human activity recognition (HAR) has intensified and reside a great confrontation to be faced. Lately, many deep learning methods have been suggested to improve the human activity classification and discrimination performance to reach an optimal accuracy. Therefore, this paper applies a Convolutional eXtreme Gradient Boosting (ConvXGBoost), which combines Convolutional Neural Network (CNN) represented by AlexNet to learn the input features automatically, followed by XGBoost decision tree used to predict the class label and thereof recognize the performed activity. Human activities are collected from sensors as time series data. Therefore, we suggested using one-dimensional AlexNet (1D AlexNet) model instead of 2D. The AlexNet model is compiled with two optimizers Adam and Stochastic Gradient Descent (SGD) which are applied consecutively. The suggested architecture was trained and evaluated on the “WISDM Smartphone and Smartwatch Activity and Biometric Dataset” that consists of raw data for eighteen activities recorded from phone and watch. The experiments revealed that using multi optimizer with a convolutional neural network improved the accuracy of recognition by 5%. Moreover, a proposed ConvXGBoost model outperformed the performance of other models works with the dataset as mentioned above with an overall accuracy of 98-99% depends on the device used.

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15

Rao, AMKM. "Sampling Model on Surveillance of COVID-19 virus among Human Populations." Journal of Communicable Diseases 52, no. 02 (July 9, 2020): 12–17. http://dx.doi.org/10.24321/0019.5138.202016.

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16

Meimei Kong, Meimei Kong, and Zhen Li Zhen Li. "Research of bright pupil effect based on Chinese human eye model." Chinese Optics Letters 12, no. 11 (2014): 113301–3. http://dx.doi.org/10.3788/col201412.113301.

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17

Koizumi, Takayuki, Nobutaka Tsujiuchi, and Azusa Nakai. "50081 Development and Estimation of Multi-body Child Human Model(Biomechanics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _50081–1_—_50081–8_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._50081-1_.

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18

Bolton, Matthew L. "Model Checking Human–Human Communication Protocols Using Task Models and Miscommunication Generation." Journal of Aerospace Information Systems 12, no. 7 (July 2015): 476–89. http://dx.doi.org/10.2514/1.i010276.

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19

Forrest, A. P. M., U. Chetty, W. R. Miller, PamelaA Levack, R. A. Hawkins, J. F. Smyth, and T. J. Anderson. "A HUMAN TUMOUR MODEL." Lancet 328, no. 8511 (October 1986): 840–42. http://dx.doi.org/10.1016/s0140-6736(86)92872-2.

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20

Kuro-o, Makoto. "Disease model: human aging." Trends in Molecular Medicine 7, no. 4 (April 2001): 179–81. http://dx.doi.org/10.1016/s1471-4914(01)01921-9.

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21

Thomas, Stephen J. "Dengue human infection model." Human Vaccines & Immunotherapeutics 9, no. 7 (March 6, 2013): 1587–90. http://dx.doi.org/10.4161/hv.24188.

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22

Boissat, C., R. Jones, and G. Mornacchi. "The model human interface." Computer Physics Communications 57, no. 1-3 (December 1989): 512–15. http://dx.doi.org/10.1016/0010-4655(89)90276-2.

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23

Tajikawa, Tsutomu, Kenkichi Ohba, and Katsuhiro Higuchi. "Behavior and deformation of human erythrocytes flowing through micro-channel arrays as a model of human blood capillaries(Microbiorheology)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 127–28. http://dx.doi.org/10.1299/jsmeapbio.2004.1.127.

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24

Khan, Sania. "An efficient human resource management system model using web-based hybrid technique." Problems and Perspectives in Management 20, no. 2 (May 6, 2022): 220–35. http://dx.doi.org/10.21511/ppm.20(2).2022.18.

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The proliferation of international business activities drives organizations to expand their operations into new areas and propels human resource management (HRM) to ensure hiring and retaining competent personnel. Consequently, firms have been struggling to place qualified people in relevant roles and provide adequate training. This study utilized information technology to solve these challenges using a web-based system to interconnect the processes, receive the data from the job applicants via a web-based interface, and connect them with suitable employment. Firstly, the proposed model presented a hybrid technique of Convolutional Neural Network (CNN) with Long Short Term Memory (LSTM) Cloud Web-based Human Resource Management System (CLWHRMS) by recognizing distinct features and forecasts the candidate’s potential under various classification tasks. For this, the study used a set of various software tools for web pages and database designing, including for the alteration of images. The hybrid model was executed using real-time data of 250 resumes, which were collected through an online database to validate the overall performance of the developed web-based system in terms of its accuracy, sensitivity, and specificity. Though the specificity was the same with all the techniques, the results illustrated CNN-LSTM technique was 91% accurate and 90% sensitive compared to the traditional methods. This CNN-LSTM model automatically estimates the suitability of a job candidate and projects his/her workability contributing to Saudi Arabian firms to ease and enhance their recruitment process. AcknowledgmentThis project was supported by the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia under the Specialized Research Grant program with Grant No-2021/02/18747.

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25

Moin, Engr Lubna, and Dr Vali Uddin. "An Electrical Perspective of the Human Circulatory System Using Four Terminal Model." International Journal of Scientific Research 2, no. 7 (June 1, 2012): 153–54. http://dx.doi.org/10.15373/22778179/july2013/52.

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26

Mahjoobin, Mohammad Hadi Honarvar, and Motomu Nakashima. "E1 Balanceable Region for Ankle-Strategy Human Model in Fall(English session)." Proceedings of the Symposium on sports and human dynamics 2010 (2010): 451–54. http://dx.doi.org/10.1299/jsmeshd.2010.451.

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27

Duque Ceballos, José Luis, Álvaro Zapata Domínguez, Mónica García Solarte, and Guillermo Murillo Vargas. "Human Resource Management Model for BPO Companies." Revista científica Pensamiento y Gestión, no. 49 (July 19, 2021): 215–43. http://dx.doi.org/10.14482/pege.49.658.4012.

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Este artículo tiene como objetivo presentar un modelo de gestión humana que se adapta a las necesidades de las organizaciones de BPO. La metodología utilizada en el proceso investigativo fue de enfoque cualitativo con la aplicación de entrevistas y revisión documental para la recolección de información relativa a las necesidades de las organizaciones de BPO, presentando como principal resultado un modelo que permite identificar los insumos, procesos y salidas que debería tener el área de gestión humana para generar estrategias y actividades pertinentes y oportunas a este tipo de organizaciones. En términos de aporte, dicho modelo le permite al lector entender la dinámica y características de los procesos de gestión humana en organizaciones cuyos objetivos y aspectos estratégicos son distintos a las organizaciones tradicionales, a la vez que identifica aquellos procesos más relevantes para el alcance de dichos fines.

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28

Lun'kov, Aleksandr, and Yuriy Gladilin. "The geometric model of the equivalent of the human body." MORPHOLOGICAL NEWSLETTER 26, no. 1 (March 31, 2018): 52–54. http://dx.doi.org/10.20340/mv-mn.18(26).01.52-54.

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29

Robinson, Jonathan L., Pınar Kocabaş, Hao Wang, Pierre-Etienne Cholley, Daniel Cook, Avlant Nilsson, Mihail Anton, et al. "An atlas of human metabolism." Science Signaling 13, no. 624 (March 24, 2020): eaaz1482. http://dx.doi.org/10.1126/scisignal.aaz1482.

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Genome-scale metabolic models (GEMs) are valuable tools to study metabolism and provide a scaffold for the integrative analysis of omics data. Researchers have developed increasingly comprehensive human GEMs, but the disconnect among different model sources and versions impedes further progress. We therefore integrated and extensively curated the most recent human metabolic models to construct a consensus GEM, Human1. We demonstrated the versatility of Human1 through the generation and analysis of cell- and tissue-specific models using transcriptomic, proteomic, and kinetic data. We also present an accompanying web portal, Metabolic Atlas (https://www.metabolicatlas.org/), which facilitates further exploration and visualization of Human1 content. Human1 was created using a version-controlled, open-source model development framework to enable community-driven curation and refinement. This framework allows Human1 to be an evolving shared resource for future studies of human health and disease.

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30

Fahcruddin, Imam, Salmah Salmah, and April Gunawan. "Optimal Control For Malaria Epidemic Model With Vaccinating, Human Treatment And Mosquitos Spraying." Selecciones Matemáticas 6, no. 2 (December 30, 2019): 189–95. http://dx.doi.org/10.17268/sel.mat.2019.02.05.

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31

BANDOL, Radu. "Self-care as Actualization of the Human Model in the Philosophy of Medicine." Postmodern Openings 06, no. 01 (June 30, 2015): 35–53. http://dx.doi.org/10.18662/po/2015.0601.02.

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32

YASUKI, Tsuyoshi. "415 Mechanism Analysis of Pedestrian Knee Ligaments Strains by Using Human FE Model." Proceedings of The Computational Mechanics Conference 2006.19 (2006): 219–20. http://dx.doi.org/10.1299/jsmecmd.2006.19.219.

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33

Huang, Tsai-Jeon, Li-Tung Chang, Bei-Min Su, Jun-Tai Wu, and Kuo-Chang Li. "GS11-4 DEVELOPMENT OF A HUMAN CLAVICLE DYNAMICAL FE MODEL(GS11: Computational Biomechanics)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2015.8 (2015): 217. http://dx.doi.org/10.1299/jsmeapbio.2015.8.217.

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34

KIM, Ilhwan, Hideki OHTSUKA, and Hikaru INOOKA. "Impedance Model for Human Fingertips." Transactions of the Society of Instrument and Control Engineers 30, no. 1 (1994): 112–14. http://dx.doi.org/10.9746/sicetr1965.30.112.

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35

Djunita Pasaribu, Rina, Aris Hartaman, Moh Riza Sutjipto, Taufan Umbara, Ridwan Purwanadita, and Apriani Masfiroh. "Human-Centered Sustainable University Model." Jurnal Manajemen Indonesia 22, no. 1 (April 25, 2022): 1. http://dx.doi.org/10.25124/jmi.v22i1.4316.

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In Society 5.0, the central concept is Human-Centered and supported by super-smart technology that frees humans from burdened workloads and allows humans to innovate new values ??without limits. All of this results in prosperity for everyone and that is the achievement of the global Sustainable Development Goals (SDGs). The application of this concept must be realized by all stakeholders of the nation, including universities that are responsible for the education of the younger generation. However, the implementation of sustainability university has been very numerous, varied, and there is no clear definition in the literature or practice. This study aims to develop a Human-Centered sustainable model that can be used as a reference in implementation. The research method used is qualitative by conducting library research, interviews and observations. Respondents and objects of interviews and observations are Telkom University’s sustainability teams and programs/ projects. The result of this study is a Human-Centered sustainable university model that is recommended as an implementation reference, not only for Telkom University but also for other universities with similar characteristics. Keywords—Human-Centered; Sustainability; Tridharma; University; Model

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36

Pisaruk, Anatoliy, Valerii Shatilo, Ivanna Shchehlova, Svitlana Naskalova, and Ludmila Mechova. "MODEL OF HUMAN METABOLIC AGE." Problems of Endocrine Pathology 77, no. 3 (September 14, 2021): 71–75. http://dx.doi.org/10.21856/j-pep.2021.3.10.

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With aging, regular changes develop in metabolism, first of all, these are changes in lipid and carbohydrate metabolism. With accelerated aging, metabolic disorders are more expressed, which leads to the development of metabolic syndrome. The purpose of the work was to develop a method for calculating metabolic age using available clinical tests and to assess the rate of metabolic aging in people with metabolic syndrome. Materials and methods. The study involved 283 apparently healthy people aged 20 to 80 years and 82 people with metabolic syndrome. Anthropometric parameters and biochemical tests were measured for all people included in the study. The formula for calculating metabolic age was obtained by the method of stepwise multiple regression.Results. The calculation of the metabolic age in healthy people according to the formula we obtained showed that the average absolute error is 6.01 years. In 20.5% of people with metabolic syndrome, metabolic age exceeds chronological age by more than 10 years. At the same time, in the group of healthy people, the share of such people was only 4.2%. Conclusions. The method we have developed for assessing the rate of metabolic aging has a sufficiently high accuracy and can be used to assess the risk of developing metabolic syndrome and other agerelated pathology.

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37

Pisaruk, Anatoliy, Valerii Shatilo, Ivanna Shchehlova, Svitlana Naskalova, and Ludmila Mechova. "MODEL OF HUMAN METABOLIC AGE." Problems of Endocrine Pathology 77, no. 3 (September 14, 2021): 71–75. http://dx.doi.org/10.21856/j-pep.2021.3.10.

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With aging, regular changes develop in metabolism, first of all, these are changes in lipid and carbohydrate metabolism. With accelerated aging, metabolic disorders are more expressed, which leads to the development of metabolic syndrome. The purpose of the work was to develop a method for calculating metabolic age using available clinical tests and to assess the rate of metabolic aging in people with metabolic syndrome. Materials and methods. The study involved 283 apparently healthy people aged 20 to 80 years and 82 people with metabolic syndrome. Anthropometric parameters and biochemical tests were measured for all people included in the study. The formula for calculating metabolic age was obtained by the method of stepwise multiple regression.Results. The calculation of the metabolic age in healthy people according to the formula we obtained showed that the average absolute error is 6.01 years. In 20.5% of people with metabolic syndrome, metabolic age exceeds chronological age by more than 10 years. At the same time, in the group of healthy people, the share of such people was only 4.2%. Conclusions. The method we have developed for assessing the rate of metabolic aging has a sufficiently high accuracy and can be used to assess the risk of developing metabolic syndrome and other agerelated pathology.

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38

Feaver, Sally. "The model of human occupation." British Journal of Therapy and Rehabilitation 2, no. 7 (July 2, 1995): 363–66. http://dx.doi.org/10.12968/bjtr.1995.2.7.363.

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39

Tyler, Sherman W., Christian Neukom, Michael Logan, and Jay Shively. "The Midas Human Performance Model." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 3 (October 1998): 320–24. http://dx.doi.org/10.1177/154193129804200329.

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A unique software tool for conducting human factors analyses of complex human-machine systems has been developed at NASA Ames Research Center. Called the Man-Machine Integration Design and Analysis System (MIDAS), this simulation system contains models of human performance that can be used to evaluate candidate procedures, controls, and displays prior to more expensive and time consuming hardware simulators and human subject experiments. While this tool has been successfully applied to research issues in several domains, particularly in aeronautics, a desire to expand its functionality and its ease of use has led to the construction of a new object-oriented system. This new version of MIDAS contains a substantially modified human performance model, one that is aimed at being more consistent with empirical data on human behavior and more natural for designers to apply to the analyses of complex new designs. This paper offers a summary of this new human performance model, together with justifications for some of its main components, and indicates plans for its subsequent verification and validation.

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40

Alberts, B. "Model Organisms and Human Health." Science 330, no. 6012 (December 22, 2010): 1724. http://dx.doi.org/10.1126/science.1201826.

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41

Brasseur, P., D. Lemeteil, and J. J. Ballet. "Rat model for human cryptosporidiosis." Journal of Clinical Microbiology 26, no. 5 (1988): 1037–39. http://dx.doi.org/10.1128/jcm.26.5.1037-1039.1988.

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42

Baron, Kathryn Brenneman. "The Model of Human Occupation." Occupational Therapy in Mental Health 7, no. 2 (November 6, 1987): 89–104. http://dx.doi.org/10.1300/j004v07n02_07.

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43

Zhang, Kun-Lin, Bastien Mangeat, Millan Ortiz, Vincent Zoete, Didier Trono, Amalio Telenti, and Olivier Michielin. "Model Structure of Human APOBEC3G." PLoS ONE 2, no. 4 (April 18, 2007): e378. http://dx.doi.org/10.1371/journal.pone.0000378.

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Čihalová, L. "Biomechanical model of human thorax." Journal of Biomechanics 39 (January 2006): S155. http://dx.doi.org/10.1016/s0021-9290(06)83529-3.

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45

Bidal, S., and K. Kayvantash. "Positioning a human numerical model." Journal of Biomechanics 39 (January 2006): S167. http://dx.doi.org/10.1016/s0021-9290(06)83582-7.

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46

ALY, RAZA, HOWARD I. MAIBACH, IRWIN HO, and BEATRICE B. ABRAMS. "SIMPLIFIED EXPERIMENTAL HUMAN DERMATOPHYTOSIS MODEL." International Journal of Dermatology 31, no. 2 (February 1992): 122–25. http://dx.doi.org/10.1111/j.1365-4362.1992.tb03253.x.

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47

Garrett, H. Edward. "A human cadaveric circulation model." Journal of Vascular Surgery 33, no. 5 (May 2001): 1128–30. http://dx.doi.org/10.1067/mva.2001.114214.

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48

Markošová, Mária. "Network model of human language." Physica A: Statistical Mechanics and its Applications 387, no. 2-3 (January 2008): 661–66. http://dx.doi.org/10.1016/j.physa.2007.09.027.

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49

Iwami, Shingo, Yasuhiro Takeuchi, and Xianning Liu. "Avian–human influenza epidemic model." Mathematical Biosciences 207, no. 1 (May 2007): 1–25. http://dx.doi.org/10.1016/j.mbs.2006.08.001.

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50

van Nierop, Onno A., Aadjan van der Helm, Kees J. Overbeeke, and Tom J. P. Djajadiningrat. "A natural human hand model." Visual Computer 24, no. 1 (October 3, 2007): 31–44. http://dx.doi.org/10.1007/s00371-007-0176-x.

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