Gender stereotypes about interests start early and cause gender disparities in computer science and engineering.

Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls' subsequent participation in these fields. Studies 1 and 2 (n = 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 (n = 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype ("girls are less interested in this activity than boys") compared to an activity with no such stereotype ("girls and boys are equally interested in this activity"). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.

Area efficient camouflaging technique for securing IC reverse engineering.

Reverse engineering is a burning issue in Integrated Circuit (IC) design and manufacturing. In the semiconductor industry, it results in a revenue loss of billions of dollars every year. In this work, an area efficient, high-performance IC camouflaging technique is proposed at the physical design level to combat the integrated circuit's reverse engineering. An attacker may not identify various logic gates in the layout due to similar image output. In addition, a dummy or true contact-based technique is implemented for optimum outcomes. A library of gates is proposed that contains the various camouflaged primitive gates developed by a combination of using the metal routing technique along with the dummy contact technique. This work shows the superiority of the proposed technique's performance matrix with those of existing works regarding resource burden, area, and delay. The proposed library is expected to make open source to help ASIC designers secure IC design and save colossal revenue loss.

Mini-review: Rehabilitation engineering: Research priorities and trends.

Rehabilitation Engineering is the use of engineering principles applied to rehabilitation, disability, and independent living. Google Scholar is a searchable resource that allows people from around the world to create profiles of their interests and collaborations, and it provides a means to search the broad scientific and technical literature. Google Scholar was used to identify the 150 most cited people who listed Rehabilitation Engineering in their profile. Research impact, characteristics, and areas of research of the most cited rehabilitation engineers were examined. Furthermore, gender and geographical differences in research metrics of the highest citied rehabilitation engineers were investigated. Consumer priorities in rehabilitation engineering were identified using a voice of consumer (VoC) survey and recent literature based on VoC studies. Gaps between research publication and activities and consumer priorities were identified to recommend seven areas of research with high demand and opportunity for growth and innovation. Implications.

We need to address ableism in science.

In science, technology, engineering, and mathematics (STEM) fields, disabled people remain a significantly underrepresented part of the workforce. Recent data suggests that about 20% of undergraduates in the United States have disabilities, but representation in STEM fields is consistently lower than in the general population. Of those earning STEM degrees, only about 10% of undergraduates, 6% of graduate students, and 2% of doctoral students identify as disabled. This suggests that STEM fields have difficulty recruiting and retaining disabled students, which ultimately hurts the field, because disabled scientists bring unique problem-solving perspectives and input. This essay briefly explores the ways in which ableism-prejudice against disabled people based on the assumption that they are "less than" their nondisabled peers-in research contributes to the exclusion of disabled scientists and suggests ways in which the scientific community can improve accessibility and promote the inclusion of disabled scientists in academic science.

The Outbreak of the COVID-19 Pandemic and its Social Impact on Education: Were Engineering Teachers Ready to Teach Online?

The major impacts of the COVID-19 pandemic are still affecting all social dimensions. Its specific impact on education is extensive and quite evident in the adaptation from Face-to-Face (F2F) teaching to online methodologies throughout the first wave of the pandemic and the strict rules on lockdown. As lesson formats changed radically, the relevance of evaluating student on-line learning processes in university degrees throughout this period became clear. For this purpose, the perceptions of engineering students towards five specific course units forming part of engineering degree courses at the University of Burgos, Spain, were evaluated to assess the quality of the online teaching they received. Comparisons were also drawn with their perceptions of the F2F teaching of the course units prior to the outbreak of the pandemic. According to the students' perceptions, the teachers possessed the technical knowledge, the social skills, and the personal capabilities (empathy and understanding of the at times troubled situation of each student) for a very abrupt adaptation of their courses to an online methodology. The shortcomings of the online teaching were related to its particularities and each teacher's personality traits. Overall, engineering teachers appeared well prepared for a situation of these characteristics and, if similar online teaching scenarios were ever repeated, the quality of engineering teaching appears to be guaranteed.

3D engineering for optic neuropathy treatment.

Ocular disorders, such as age-related macular degeneration (AMD), diabetic retinopathy (DR), retinitis pigmentosa (RP), and glaucoma, can cause irreversible visual loss, and affect the quality of life of millions of patients. However, only very few 3D systems can mimic human ocular pathophysiology, especially the retinal degenerative diseases, which involve the loss of retinal ganglion cells (RGCs), photoreceptors, or retinal pigment epithelial cells (RPEs). In this review, we discuss current progress in the 3D modeling of ocular tissues, and review the use of the aforementioned technologies for optic neuropathy treatment according to the categories of associated disease models and their applications in drug screening, mechanism studies, and cell and gene therapies.

Kumaraswamy inverse Gompertz distribution: Properties and engineering applications to complete, type-II right censored and upper record data.

This article proposes and studies a new three-parameter generalized model of the inverse Gompertz distribution, in the so-called Kumaraswamy inverse Gompertz distribution. The main advantage of the new model is that it has "an upside down bathtub-shaped curve hazard rate function" depending upon the shape parameters. Several of its statistical and mathematical properties including quantiles, median, mode, moments, probability weighted moment, entropy function, skewness and kurtosis are derived. Moreover, the reliability and hazard rate functions, mean time to failure, mean residual and inactive lifetimes are also concluded. The maximum likelihood approach is done here to estimate the new model parameters. A simulation study is conducted to examine the performance of the estimators of this model. Finally, the usefulness of the proposed distribution is illustrated with different engineering applications to complete, type-II right censored, and upper record data and it is found that this model is more flexible when it is compared to well-known models in the statistical literature.

A well-engineered path into cell biology and academia.

Winning the American Society for Cell Biology's Women in Cell Biology Mid-career Award is incredibly meaningful to me, as it validates that someone focusing on engineering and applications can be a "real" cell biologist, too. Single-minded devotion to studying a particular biological process is not a prerequisite for a career in science and academia. The more diverse the scientific styles and demographics of scientists who feel welcome, the stronger science will be.

Search, reuse and sharing of research data in materials science and engineering-A qualitative interview study.

Open research data practices are a relatively new, thus still evolving part of scientific work, and their usage varies strongly within different scientific domains. In the literature, the investigation of open research data practices covers the whole range of big empirical studies covering multiple scientific domains to smaller, in depth studies analysing a single field of research. Despite the richness of literature on this topic, there is still a lack of knowledge on the (open) research data awareness and practices in materials science and engineering. While most current studies focus only on some aspects of open research data practices, we aim for a comprehensive understanding of all practices with respect to the considered scientific domain. Hence this study aims at 1) drawing the whole picture of search, reuse and sharing of research data 2) while focusing on materials science and engineering. The chosen approach allows to explore the connections between different aspects of open research data practices, e.g. between data sharing and data search. In depth interviews with 13 researchers in this field were conducted, transcribed verbatim, coded and analysed using content analysis. The main findings characterised research data in materials science and engineering as extremely diverse, often generated for a very specific research focus and needing a precise description of the data and the complete generation process for possible reuse. Results on research data search and reuse showed that the interviewees intended to reuse data but were mostly unfamiliar with (yet interested in) modern methods as dataset search engines, data journals or searching public repositories. Current research data sharing is not open, but bilaterally and usually encouraged by supervisors or employers. Project funding does affect data sharing in two ways: some researchers argue to share their data openly due to their funding agency's policy, while others face legal restrictions for sharing as their projects are partly funded by industry. The time needed for a precise description of the data and their generation process is named as biggest obstacle for data sharing. From these findings, a precise set of actions is derived suitable to support Open Data, involving training for researchers and introducing rewards for data sharing on the level of universities and funding bodies.

Rehabilitation Engineering: A perspective on the past 40-years and thoughts for the future.

Over the past four decades, there have been breakthroughs in communication, mobility and tools to manipulate objects. Probably the most important transformation has been the growing inclusion of people with disabilities into the prioritization, conceptualization, and design of new assistive devices. Advances in technology, demands from people with disabilities, and changes in cultural perceptions have made noteworthy changes in the technologies that have improved lives, and affected transformations that benefit both individuals and society. People with disabilities lives have been improved but there is still much to be done. Unfortunately, people with disabilities in low income countries have lagged people in higher income countries in benefitting from technical and social changes. Assistive devices have benefitted from the availability of powerful, portable computing power, from small low-power sensors, from new materials, from rapid prototyping and flexible manufacturing. There are exciting emerging technologies that show promise for future advances.

Temporal Limits on What Engineers Can Plan.

My question is: How far into the future is it possible for engineers as such to plan? For example, the Yucca Mountain Nuclear Waste Repository was to have been designed to store nuclear waste safely for between ten thousand and one million years. Is that the sort of planning engineers as such can do? The planning engineers do would not be philosophically interesting were it not in general so often successful, much more successful than the gambles of ordinary life. So, how is such planning possible-and what are its limits. Is one million years beyond the limits of what engineers, as such, can plan? Is a thousand years? Is a hundred years? Is there an nth generation for what engineers can plan? The answer I consider here is that engineers can plan only as far into the future as they can reasonably expect engineers to be present. That is only a few generations at most.

Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions.

The landscape of gender in education and the workforce has shifted over the past decades: women have made gains in representation, equitable pay, and recognition through awards, grants, and publications. Despite overall change, differences persist in the fields of science, technology, engineering, and mathematics (STEM). This Viewpoints article on gender disparities in STEM offers an overarching perspective by addressing what the issues are, why the issues may emerge, and how the issues may be solved. In Part 1, recent data on gaps in representation, compensation, and recognition (awards, grants, publications) are reviewed, highlighting differences across subfields (e.g., computer science vs biology) and across career trajectories (e.g., bachelor's degrees vs senior faculty). In Part 2, evidence on leading explanations for these gaps, including explanations centered on abilities, preferences, and explicit and implicit bias, is presented. Particular attention is paid to implicit bias: mental processes that exist largely outside of conscious awareness and control in both male and female perceivers and female targets themselves. Given its prevalence and persistence, implicit bias warrants a central focus for research and application. Finally, in Part 3, the current knowledge is presented on interventions to change individuals' beliefs and behaviors, as well as organizational culture and practices. The moral issues surrounding equal access aside, understanding and addressing the complex issues surrounding gender in STEM are important because of the possible benefits to STEM and society that will be realized only when full participation of all capable and qualified individuals is guaranteed.

Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation.

The explosion of mobile health (mHealth) interventions has prompted significant investment and exploration that has extended past industry into academia. Although research in this space is emerging, it focuses on the clinical and population level impact across different populations. To realize the full potential of mHealth, an intimate understanding of how mHealth is being used by patients and potential differences in usage between various demographic groups must also be prioritized. In this viewpoint, we use our experiences in building an mHealth intervention that incorporates an iOS app, Bluetooth-enabled blood pressure cuff, and Apple Watch to share knowledge on (1) how user interaction data can be tracked in the context of health care privacy laws, (2) what is required for effective, nuanced communication between clinicians and engineers to design mHealth interventions that are patient-centered and have high clinical impact, and (3) how to handle and set up a process to handle user interaction data efficiently.

A Virtual Repository of Neurosurgical Instrumentation for Neuroengineering Research and Collaboration.

BACKGROUND: Advancements in microscopy and more recently in neuroendoscopy have revolutionized the field of neurosurgery. Handheld neurosurgical instruments are integral components of these procedures. However, these instruments have many limitations, such as poor ergonomics, constrained maneuverability, and limited degrees of freedom. A need for developing better instruments is commonly felt by neurosurgeons. Also, the focus of modern neurosurgical training is shifting toward simulation models. The baseline data of surgical instruments play a vital role in the development of virtual and physical simulators. A primary factor impeding development of novel instruments and simulators is lack of a comprehensive surgical instrument database. The aim of this study was to develop and validate a virtual repository of microscopic and neuroendoscopic instruments. METHODS: Standard neurosurgical instrument sets were scanned, reverse engineered, and stored in various file formats at the file transfer protocol server. The developed database was validated by 4 groups of experts by creating different neurosurgery applications. RESULTS: Four groups of experts used the repository content to create novel ergonomic instrument designs, e-learning material, computer vision-based surgical skills evaluation and virtual reality and validated the contents. The validation results showed that quality of content (75%), usefulness of content (85.6%), and time saving using content (88.1%) received high scores, and the effectiveness of the virtual repository contents was appreciated. CONCLUSIONS: The virtual database is an efficient starting aid to foster research collaborations related to neurosurgical instruments and surgical simulation platforms.

A latent change score analysis of emotion regulation difficulties and evaluative threat in STEM.

We examined implications of evaluative threat on the ability to regulate emotions for first-time college freshmen completing Science, Technology, Engineering, and Math (STEM) majors (N = 432). Students completed the Evaluative Threat in STEM Scale (Ahlqvist, London, & Rosenthal, 2013) and the Difficulties in Emotion Regulation Scale (DERS; Gratz & Roemer, 2004) at six intervals. Cross-sectional and longitudinal measurement invariance was supported. Women reported greater evaluative threat than men, but they did not differ from men in difficulties regulating emotion. Both constructs showed moderate relative stability over time. Using latent change score analyses, significant positive deceleration change patterns indicated that four of the emotion regulation difficulties (Lack of Emotional Awareness, Lack of Emotional Clarity, Impulse Control Difficulties, and Nonacceptance of Emotional Responses) and evaluative threat tended to increase (worsen) over the year, but the increases also slowed (i.e., plateaued) over time. Compared with men, women initially reported higher evaluative threat than men did, but these differences decreased over the year, as women decelerated more quickly than men did. In terms of cross-coupling effects, we found that evaluative threat was associated with subsequent difficulty in identifying strategies to cope with unpleasant emotions. There were no cross-coupling effects for emotion regulation predicting subsequent change in evaluative threat. Gender moderated the Evaluative Threat-to-DERS coupling effects for Lack of Emotional Clarity, Difficulties in Goal-Directed Behavior, and Nonacceptance of Emotional Responses. We discuss implications of evaluative threat for depleting coping resources and some potential psychoeducational and preventive interventions to support students in STEM majors. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Motion sickness as metaphor: engaging with diversity in STEM.

Science, technology, engineering, and math (STEM) continue to work to increase the diversity of the fields, yet there are still significant historical and societal hurdles to be overcome before we reach full representation throughout STEM. The concept of science identity has become a point of interest in this process; it has been suggested that development of one's identity as a scientist is critical to persistence in the field. Metaphors that are rooted in bodily experience can provide a starting point to understand abstract concepts, including science identity and how we as STEM educators respond to increasing diversity within our fields. Given the history of STEM being predominantly populated by people who are white and male, disorientation or discomfort with increasing diversity is not unexpected, and many women and people of color report discrimination and marginalization as a part of their experience in STEM. Here I present a neuroscience-based metaphor that can serve as a starting point for understanding some of the potential disorientation or discomfort that we may experience as we engage with the increasing diversity of STEM and acknowledge this experience as a normal but temporary part of the process of growth and development as a field. I encourage the development and use of further discipline-based metaphors to enhance our discussion and understanding of this important work.

Predictors of science, technology, engineering, and mathematics choice options: A meta-analytic path analysis of the social-cognitive choice model by gender and race/ethnicity.

We tested the interest and choice portion of social-cognitive career theory (SCCT; Lent, Brown, & Hackett, 1994) in the context of science, technology, engineering, and mathematics (STEM) domains. Data from 143 studies (including 196 independent samples) conducted over a 30-year period (1983 through 2013) were subjected to meta-analytic path analyses. The interest/choice model was found to fit the data well over all samples as well as within samples composed primarily of women and men and racial/ethnic minority and majority persons. The model also accounted for large portions of the variance in interests and choice goals within each path analysis. Despite the general predictive utility of SCCT across gender and racial/ethnic groups, we did find that several parameter estimates differed by group. We present both the group similarities and differences and consider their implications for future research, intervention, and theory refinement. (PsycINFO Database Record

How Cardiac Anesthesiology Can Help "STEM" the Tide of Under-representation of Minorities in Science and Medicine.

The field of medicine is built upon science, technology, engineering, and math (STEM), yet the United States is rapidly falling behind when it comes to educating the next generation in these disciplines, especially under-represented populations. The authors reflect on existing educational literature surrounding efforts to promote interest in STEM among students and under-represented populations. The authors advocate for greater efforts toward the development of youth programing. Cardiac anesthesia is uniquely positioned as a subspecialty to advance the goal of promoting interest in STEM in diverse groups of young students. The authors describe their development and implementation of a community outreach program to enhance interest in medicine through a cardiac dissection experience.