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Care-fully attending to the ontologies embedded within educational research, this chapter provokes readers to consider the epistemic worlding of qualitative research. Drawing on the intersections of feminist poststructuralism, post-humanism, and new material feminisms, educational research can be seen as happening to worlds while also making worlds. As such, educational researchers are invited to care for the ethical entanglement among the research, researcher, researched, and reader. Bringing diverse mo(ve)ments into conversation, a minor sequence for decentering the educational researcher is presented. One example is the destabilization of conventional data triangulation through “Talking Triads.” Thinking with/in a multimodal triad gestures toward the possibility of engaging all scholarship as an intimate endeavor. More specifically, this chapter begins to illuminate how textual re/presentations of becoming-minor inherently raise tensions between nonhuman structures (e.g., time, tradition, concepts, mirrors, literature) and the human experience of being-educational researcher. From mirrors to monsters, the manifestation of “I” becomes-with/in that which is more than human.

THE distribution of pressure over an aerofoil is often required for rib tests and for obtaining the loadings for flaps and ailerons. The experimental data on the subject is scanty and for some of the newer sections no tests have as yet been published. A method of obtaining the pressure distribution over an aerofoil analytically is described in N.A.C.A. Report No. 452, “General Potential Theory of Arbitrary Wing Sections” by T. Theodorsen and I. E. Garrick; this method gives the pressure distribution on upper and lower surfaces and is applicable to both thin and thick sections. Earlier methods advanced by Munk and Glauert were only applicable to thin sections and as they worked in terms of the mean camber, only gave the mean pressure.

VARIOUS methods have been devised for dealing with the effects of the articulated rod in aero‐engines. In an article by E. J. Fearn, published in the Journal of the Royal Aeronautical Society, 1927, a method is given which involves the representation of the piston displacement as a Fourier series. This can be twice differentiated to give the acceleration. Later in the same journal a graphical method is quoted by W. S. Farren. In the 1928 volume Fearn derives a somewhat involved series for the inertia torque on the crankshaft due to the reciprocating mass.

The purpose of this paper is to examine asymmetric co-integration effects between nutrition and economic growth for annual South African data from the period 1961-2013.

The authors deviate from the conventional assumption of linear co-integration and pragmatically incorporate asymmetric effects in the framework through a fusion of the momentum threshold autoregressive and threshold error correction (MTAR-TEC) model approaches, which essentially combines the adjustment asymmetry model of Enders and Silkos (2001); with causality analysis as introduced by Granger (1969); all encompassed by/within the threshold autoregressive (TAR) framework, a la Hansen (2000).

The findings obtained from the study uncover a number of interesting phenomena for the South Africa economy. First, in coherence with previous studies conducted for developing economies, the authors establish a positive relationship between nutrition and economic growth with an estimated income elasticity of nutritional intake of 0.15. Second, the authors find bi-direction causality between nutrition and economic growth with a stronger causal effect running from nutrition to economic growth. Lastly, the authors find that in the face of equilibrium shocks to the variables, policymakers are slow to responding to deviations of the variables from their co-integrated long run steady state equilibrium.

In the study, the authors make a novel contribution to the literature by exploring asymmetric modelling in the correlation between nutrition intake and economic growth for the exclusive case of South Africa.

Purpose – The purpose of this chapter is to demonstrate how biosociologists can further the understanding of Autism Spectrum Disorders by combining neurology's knowledge of the brain with social scientific knowledge about paraverbal communication and interactional synchrony.

Findings – We theoretically analyze Autism Spectrum Disorders through the lens of neurosociology and develop a research agenda centered on relationships among brain function, interactional symmetry, and autism. We also derive an intervention model involving the artificial manipulation of speech communication. In our analysis we draw attention to multidisciplinary research on vocal and behavioral synchrony and demonstrate how this knowledge contributes to a neurosociological understanding of autism.

Research limitations/implications – We synthesize diverse programs of research from multiple fields and innovate a neurosociological approach to understanding biosocial interaction rituals in relation to autism. We discuss the potential use of “dichotic filtration” of speech to enhance communication efficacy for individuals with autism.

Practical implications – Our arguments suggest that the social difficulties faced by individuals with autism may be rooted in problems associated with the cerebral processing of paralanguage. As a potential remedy for these problems, we suggest an intervention method based on recent technological advancements stemming from decades of theoretical and empirical research.

Social implications – To the extent that the proposed intervention model proves successful, it will enhance the lives of individuals with autism and those with whom they interact by improving social communication and associated channels for creating social bonds.

Originality/value – This work is uniquely important as an example of how biosociologists might move “from bench to application” in the context of a cumulative program of interdisciplinary research, development, and technology transfer.

The purpose of this paper is to evaluate technological strategies (i.e. online training and university safety system) used at one southeastern four-year university to enhance campus safety. This paper investigates if an online training influenced rape myth acceptance (RMA) and if participation in the university safety system was associated with perceptions of campus safety.

Data from college students were collected via a survey that was distributed through the school’s e-mail system. The survey asked respondents about their perceptions of safety, experiences on campus, attitudes, and utilization of campus resources. In total, 1,583 students participated in the survey. Analyses were limited to 889 respondents not missing data.

RMA did not differ between those who completed the online training and those who did not complete the training. Regarding perceptions of campus safety, respondents who opted to receive emergency notifications were not significantly different from those who did not receive the notifications. Respondents who had the safety application felt safer on campus compared to those who did not have the application. Respondents who participated in the training, received notifications, and had the application felt safer on campus.

This study highlights the potential utility of the safety application as well as the limited effect of the online education program on RMA.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

Simulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of interest is usually called a system, and to study it scientifically, we often have to make a set of assumptions about how it works. These assumptions, which usually take the form of mathematical or logical relationships, constitute a model that is used to gain some understanding of how the corresponding system behaves, and the quality of these understandings essentially depends on the credibility of given assumptions or models, known as VV&A (verification, validation and accreditation). The main purpose of this paper is to present an in-depth theoretical review and analysis for the application of VV&A in large-scale simulations.

After summarizing the VV&A of related research studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations (such as crowd network simulations).

The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations (such as crowd network simulations).

This paper will help researchers to provide support of a recommendation for formulating VV&A in large-scale simulations (such as crowd network simulations).