Low-Cost Force Sensors Embedded in Physical Human–Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation

In modern times, the collaboration between humans and machines increasingly rises, combining their respective benefits. The direct physical support causes interaction forces in human–machine interfaces, whereas their form determines both the effectiveness and comfort of the collaboration. However, their correct detection requires various sensor characteristics and remains challenging. Thus, this paper presents a developed low-cost sensor pad working with a silicone capsule and a piezoresistive pressure sensor. Its measurement accuracy is validated in both an isolated testing environment and a laboratory study with four test subjects (gender-balanced), and an application integrated in interfaces of an active upper-body exoskeleton. In the material-testing machine, it becomes apparent that the sensor pad generally features the capability of reliably determining normal forces on its surface until a certain threshold. This is also proven in the real application, where the measurement data of three sensor pads spatially embedded in the exoskeletal interface are compared to the data of an installed multi-axis load cell and a high-resolution flexible pressure map. Here, the consideration of three sensor pads potentially enables detection of exoskeletal support on the upper arm as well as “poor” fit conditions such as uneven pressure distributions that recommend immediate system adjustments for ergonomic improvements.

Test Suite Optimization Using Firefly and Genetic Algorithm

Software testing is essential for providing error-free software. It is a well-known fact that software testing is responsible for at least 50% of the total development cost. Therefore, it is necessary to automate and optimize the testing processes. Search-based software engineering is a discipline mainly focussed on automation and optimization of various software engineering processes including software testing. In this article, a novel approach of hybrid firefly and a genetic algorithm is applied for test data generation and selection in regression testing environment. A case study is used along with an empirical evaluation for the proposed approach. Results show that the hybrid approach performs well on various parameters that have been selected in the experiments.

Examining Ease and Challenges in Tele-Assessment of Children Using Slosson Intelligence Test

As the world came to terms with the longevity of the COVID-19 crisis, there came a mass migration towards tele-health services which included tele-assessments. Practitioners argued that delaying assessments would mean a delay in provision of services. Therefore wherever possible, assessment procedures were modified to cater to an online setting including assessment of cognitive abilities. With its many advantages tele-assessment brings many unpredictable challenges. In this study we tried to explore those by administering the Slosson Intelligence Test-third edition (Slosson, 2006) on a sample of 29 school going children ranging in age from 6 to 16 years old, via Zoom. Observations were divided into two categories, that is, logistical and practical. Results showed that technology improves accessibility of services and solves many logistical problems such as availability of testing venues, and makes communication easier. However, practicality was hindered as the testing environment was less controlled and factors such as internet disruptions, limitations in observations, and presence of other people and things in the household may adversely affect the scores. Moreover, virtual fatigue could be a factor that practitioners need to consider.

A Systematic Study and Potential Limitations of Proton-ELISA Platform for α-Synuclein Antigen Detection

To evaluate point-of-care testing (POCT) for the potential early detection of biomarkers of Parkinson’s disease, a systematic investigation of portable and low-cost platforms is performed based on the Proton-enzyme-linked immunosorbent assay (Proton-ELISA) methodology. The detection of the α-synuclein antigen was first presented by biotin-relative linkers, and glucose substrate solution was first performed with a systematic experimental design to optimize the sensing results. All materials in this study are commercially available. Three different experiments with the partitional check were performed to investigate the Proton-ELISA platform, including proton catalyzed efficiency, blocking efficiency, and full Proton-ELISA procedure. The response time was selected as 15 min by the time-dependent curves of a full reaction. The limit of detection of conventional ELISA kits is 0.169 ng/mL, which is much lower than the Proton-ELISA results. The final response of the full Proton-ELISA procedure to pH changes was approximately 0.60 and 0.12 for α-synuclein antigen concentrations of 100 ng/mL and 4 ng/mL, respectively. With the partitional check, pH changes of pure glucose substrate and conjugated oxidase and interference of the nonspecific binding are 1.7 and 0.04, respectively. The lower pH changes far from the partitional check results can be concluded for the properties of glucose oxidase conjugation, including the isoelectric point and binding affinity modification by the testing environment. This preliminary guideline can be used as a lesson learnt to speed up following studies of the evaluation and optimization of other antigen detection. Therefore, Proton-ELISA can be suggested for some special applications with the help of custom-designed conjugation in the environment with less degradation or interference and a proper detection concentration range.

Contingencies of Violent Radicalization: The Terror Contagion Simulation

This paper builds confidence in the terror contagion hypothesis that violent radicalization leading to predatory mass violence operates as a system. Within this system, the contingent values of key root causes create channels within which violent ideologies and terrorism emerge. We built a system dynamics simulation model capable of replicating historical reference modes and sophisticated enough to test the contingent values of these propositions. Of 16 propositions, we identified six root-cause propositions that must simultaneously exist, act in concert and explain the dynamics of their interaction which generate a terror contagion. Other propositions can strengthen or weaken an existing contagion but not eliminate it. We use an experiment to demonstrate how changing the contingent values of these propositions creates downward channels. This experiment helps reconcile the swarm vs. fishermen debate over the true root causes of violent radicalization. Within these channels, the contingent values can favor swarm or fishermen manifestations. The simulation and experimentation results enable the future development of the terror contagion hypothesis, provide a testing environment for research on violent radicalization, and provide a pathway to policy development in the combating of terrorism that arises from violent radicalization.

Online Remote Proctoring Software in the Neoliberal Institution: Measurement, Accountability, and Testing Culture

As COVID-19 spread in early 2020, a lockdown was implemented across Canadian provinces andterritories, resulting in the shuttering of physical post-secondary campuses. Universities quicklypivoted to remote learning, and faculty members adjusted their instructional and assessmentapproaches to align with virtual environments. Presumably to aid with this process, a number ofinstitutions acquired licenses to remote online proctoring services. This paper examines theresearch around online remote proctoring, examining the justification offered for the adoption ofonline remote proctoring, and contemporary research on assessment practices in higher education.Throughout the paper, I demonstrate a lack of research that speaks to the efficacy of this mode ofassessment while also acknowledging shifts in the testing environment, and an increase in studentanxiety. I argue that online remote proctoring is not only embedded within neoliberalism and auditculture, but supports a continued reliance on testing culture. It concludes with a discussion ofassessment culture, offering some alternative assessment approaches that might disrupt the veryneed for online remote proctoring. Keywords: Online remote proctoring, assessment, testing

Us vs them: Tribalism, selective exposure & how non-partisan online news media engagement can be facilitated

<p>Codeswitching is the action of switching between languages to better impart information to a recipient. This thesis introduces a set of codeswitching translator tools as a method of disrupting the potentially damaging structures of tribal politics through the manipulation of ideologically specific language norms. We first investigate how tribalism and group identity impact our ability to participate in political discourse. Using this insight from a host of different research disciplines, we design an iterative testing environment for a variety of ‘codeswitching’ translators in order to see the impact of translations ranging in complexity from simple word and syntax substitution through to machine learning back-translation. Though back-translation was not found to be an effective technique, simple substitution methods provided a foundation of effectiveness and proof of concept among test participants, especially those that identified as politically aligned.</p>

Us vs them: Tribalism, selective exposure & how non-partisan online news media engagement can be facilitated

<p>Codeswitching is the action of switching between languages to better impart information to a recipient. This thesis introduces a set of codeswitching translator tools as a method of disrupting the potentially damaging structures of tribal politics through the manipulation of ideologically specific language norms. We first investigate how tribalism and group identity impact our ability to participate in political discourse. Using this insight from a host of different research disciplines, we design an iterative testing environment for a variety of ‘codeswitching’ translators in order to see the impact of translations ranging in complexity from simple word and syntax substitution through to machine learning back-translation. Though back-translation was not found to be an effective technique, simple substitution methods provided a foundation of effectiveness and proof of concept among test participants, especially those that identified as politically aligned.</p>

Non-Destructive Evaluation of Coating Thickness Using Water Immersion Ultrasonic Testing

The coating is applied to prevent corrosion on the surface of ships or marine structures, and the thickness of the coating affects its anti-corrosion effect. As a result, non-destructive testing (NDT) is required to measure coating thickness, and ultrasonic NDT is a convenient and quick way to measure the thickness of underwater coatings. However, the offshore coating’s energy attenuation and absorption rates are high, the ultrasonic pulse echo test is difficult, and the testing environment is harsh. Because of the coating’s high attenuation, the distance of the optimal water delay line designed based on the reflection coefficient of the vertically incident wave is used. To accurately measure the thickness of the coating material, TOF of the reflected echo on the time-domain waveform was evaluated. The experimental results show that, when compared to caliper measurements, the coating thickness measured by the proposed method has a lower error and can be used for accurate measurement. The use of ultrasonic water immersion measurement is almost limitless in terms of size, location, and material of the object to be measured, and it is expected to be used to measure the thickness of the surface coating of ships or marine structures in the water.