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Annotation Create the next generation of AUTONOMOUS ANDROIDSConstruct self-governing 'droids that display physiologically correct behaviors. Co-written by experts in the fields of robotics, artificial intelligence, and medicine, \"Androids: Build Your Own Lifelike Robots\" features low-cost DIY projects that translate human physiology into cybernetics. Teach your creations to maneuver with an arsenal of behaviors, respond to stimuli, talk, and listen. This practical, inventive guide even shows how to realistically simulate emotion and aging in your robots. Understand cybernetic and robotics principles Work with programmable microcontrollers Choose and wire sensors, actuators, and servos Program dazzling reflex arcs and behavior loops Enable your automatons to speak and hear Build beating hearts and limbs with flowing veins Create breathing patterns that respond to triggers Mimic humanoid feelings and facial expressions Use prototyping kits and testing devices.

The United Nations’ (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing efforts to map relationships among SDGs are either theoretical investigations of sustainability concepts, or empirical analyses of development indicators and policy simulations. We present an alternative approach, which describes and quantifies the complex network of SDG interdependencies by applying computational methods to policy and scientific documents. Methods of Natural Language Processing are used to measure overlaps in international policy discourse around SDGs, as represented by the corpus of all existing UN progress reports about each goal (N = 85 reports). We then examine if SDG interdependencies emerging from UN discourse are reflected in patterns of integration and collaboration in SDG-related science, by analyzing data on all scientific articles addressing relevant SDGs in the past two decades (N = 779,901 articles). Results identify a strong discursive divide between environmental goals and all other SDGs, and unexpected interdependencies between SDGs in different areas. While UN discourse partially aligns with integration patterns in SDG-related science, important differences are also observed between priorities emerging in UN and global scientific discourse. We discuss implications and insights for scientific research and policy on sustainable development after COVID-19.

Background Research on health and sustainable development is growing at a pace such that conventional literature review methods appear increasingly unable to synthesize all relevant evidence. This paper employs a novel combination of natural language processing (NLP) and network science techniques to address this problem and to answer two questions: (1) how is health thematically interconnected with the Sustainable Development Goals (SDGs) in global science? (2) What specific themes have emerged in research at the intersection between SDG 3 (“Good health and well-being”) and other sustainability goals? Methods After a descriptive analysis of the integration between SDGs in twenty years of global science (2001–2020) as indexed by dimensions.ai , we analyze abstracts of articles that are simultaneously relevant to SDG 3 and at least one other SDG (N = 27,928). We use the top2vec algorithm to discover topics in this corpus and measure semantic closeness between these topics. We then use network science methods to describe the network of substantive relationships between the topics and identify ‘zipper themes’, actionable domains of research and policy to co-advance health and other sustainability goals simultaneously. Results We observe a clear increase in scientific research integrating SDG 3 and other SDGs since 2001, both in absolute and relative terms, especially on topics relevant to interconnections between health and SDGs 2 (“Zero hunger”), 4 (“Quality education”), and 11 (“Sustainable cities and communities”). We distill a network of 197 topics from literature on health and sustainable development, with 19 distinct network communities – areas of growing integration with potential to further bridge health and sustainability science and policy. Literature focused explicitly on the SDGs is highly central in this network, while topical overlaps between SDG 3 and the environmental SDGs (12–15) are under-developed. Conclusion Our analysis demonstrates the feasibility and promise of NLP and network science for synthesizing large amounts of health-related scientific literature and for suggesting novel research and policy domains to co-advance multiple SDGs. Many of the ‘zipper themes’ identified by our method resonate with the One Health perspective that human, animal, and plant health are closely interdependent. This and similar perspectives will help meet the challenge of ‘rewiring’ sustainability research to co-advance goals in health and sustainability.

An effective vaccine provided to all health care workers in Canada will protect both the health workforce and patients, reducing the overall burden of COVID-19 on services and ensuring adequate personnel to minister to people's health needs through the pandemic. Provincial governments should put in place rules for mandatory vaccination of health care workers that cut across all public and private settings, and should not leave this to the discretion of individual employers. If individual employers were to require vaccination among their staff, the legality of these mandates would likely be determined via labor law that considers the \"reasonableness\" of the employer's directive, as is evident from case law related to mandatory influenza vaccination. Government mandates for the vaccination of health care workers may be challenged under the Canadian Charter of Rights and Freedoms, but these challenges, on the extant evidence, likely will not succeed if provisions are made for those who cannot receive the vaccination because of underlying health issues and for those who object to vaccination on bona fide religious or conscientious objection grounds.

Background Medical innovations offer tremendous hope. Yet, similar innovations in governance (law, policy, ethics) are likely necessary if society is to realize medical innovations’ fruits and avoid their pitfalls. As innovations in artificial intelligence (AI) advance at a rapid pace, scholars across multiple disciplines are articulating concerns in health-related AI that likely require legal responses to ensure the requisite balance. These scholarly perspectives may provide critical insights into the most pressing challenges that will help shape and advance future regulatory reforms. Yet, to the best of our knowledge, there is no comprehensive summary of the literature examining legal concerns in relation to health-related AI. We thus aim to summarize and map the literature examining legal concerns in health-related AI using a scoping review approach. Methods The scoping review framework developed by (J Soc Res Methodol 8:19-32, 2005) and extended by (Implement Sci 5:69, 2010) and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR) guided our protocol development. In close consultation with trained librarians, we will develop a highly sensitive search for MEDLINE® (OVID) and adapt it for multiple databases designed to comprehensively capture texts in law, medicine, nursing, pharmacy, other healthcare professions (e.g., dentistry, nutrition), public health, computer science, and engineering. English- and French-language records will be included if they examine health-related AI, describe or prioritize a legal concern in health-related AI or propose a solution thereto, and were published in 2012 or later. Eligibility assessment will be conducted independently and in duplicate at all review stages. Coded data will be analyzed along themes and stratified across discipline-specific literatures. Discussion This first-of-its-kind scoping review will summarize available literature examining, documenting, or prioritizing legal concerns in health-related AI to advance law and policy reform(s). The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future reforms and regulatory options available to stakeholders in reform processes. Trial registration This protocol was submitted to the Open Science Foundation registration database. See https://osf.io/zav7w .

Research exploring the educational experiences of lesbian, gay and bisexual (LGB) students and staff members has traditionally been characterised by homophobia, hostility, victimisation and marginalisation. Recent research has evidenced a shift in the experiences of LGB young people, to somewhat more accepting and positive narratives, including within post-compulsory schooling. Yet, there is limited research exploring the lived experiences of LGB staff members in the Further Education context. Utilising inclusive masculinity as a sociological paradigm, this research explores the qualitative data from the narratives of 26 LGB staff and students at one Further Education college in the south of England. The results find a distinct lack of homophobia within this college, a nuanced understanding of homosexually themed language, and an organisational culture of inclusivity and widespread symbolic visibility of the LGB community. Overall, our research aligns with broader social patterns that the experiences for LGB persons is improving.

Ilmenite serves as a primary ore for extraction of titanium, an element of emerging interest in plant biology, where it is now known to serve as both fertilizer and toxin depending on dosage. This study sought to determine if the effects of exposure to ilmenite on plant growth differed from its smelted product titanium dioxide (TiOx), and if those effects vary with the particle size of the minerals. Common radishes ( Raphanus sativus ) were planted in substrate treated with either ilmenite or titanium dioxide to 4% of ssubstrate dry mass at varying particle size and allowed to grow. The dry mass, length, and chlorophyll activity of the plants were then measured and compared. Radishes exposed to either mineral displayed significantly stunted growth and signs of toxicity such as reduced mass and chlorophyll content. No differences in the impacts were found between the two minerals. The effects did not vary with ilmenite particle size, while issues with milling resulted in uniform titanium dioxide particle sizes. The toxic effects of ilmenite and TiOx on plant growth were not significantly different, indicating similar activity at the dosage used for this study. This finding warrants further research, investigating if ilmenite similarly duplicates low-dose beneficial effects of TiOx.

Surface-based measurements of broadband shortwave (solar) and longwave (infrared) radiative fluxes using thermopile radiometers are made regularly around the globe for scientific and operational environmental monitoring. The occurrence of ice on sensor windows in cold environments – whether snow, rime, or frost – is a common problem that is difficult to prevent as well as difficult to correct in post-processing. The Baseline Surface Radiation Network (BSRN) community recognizes radiometer icing as a major outstanding measurement uncertainty. Towards constraining this uncertainty, the De-Icing Comparison Experiment (D-ICE) was carried out at the NOAA Atmospheric Baseline Observatory in Utqiaġvik (formerly Barrow), Alaska, from August 2017 to July 2018. The purpose of D-ICE was to evaluate existing ventilation and heating technologies developed to mitigate radiometer icing. D-ICE consisted of 20 pyranometers and 5 pyrgeometers operating in various ventilator housings alongside operational systems that are part of NOAA's Barrow BSRN station and the US Department of Energy Atmospheric Radiation Measurement (ARM) program North Slope of Alaska and Oliktok Point observatories. To detect icing, radiometers were monitored continuously using cameras, with a total of more than 1 million images of radiometer domes archived. Ventilator and ventilator–heater performance overall was skillful with the average of the systems mitigating ice formation 77 % (many >90 %) of the time during which icing conditions were present. Ventilators without heating elements were also effective and capable of providing heat through roughly equal contributions of waste energy from the ventilator fan and adiabatic heating downstream of the fan. This provided ∼0.6 ∘C of warming, enough to subsaturate the air up to a relative humidity (with respect to ice) of ∼105 %. Because the mitigation technologies performed well, a near complete record of verified ice-free radiometric fluxes was assembled for the duration of the campaign. This well-characterized data set is suitable for model evaluation, in particular for the Year of Polar Prediction (YOPP) first Special Observing Period (SOP1). We used the data set to calculate short- and long-term biases in iced sensors, finding that biases can be up to +60 W m−2 (longwave) and −211 to +188 W m−2 (shortwave). However, because of the frequency of icing, mitigation of ice by ventilators, cloud conditions, and the timing of icing relative to available sunlight, the biases in the monthly means were generally less than the aggregate uncertainty attributed to other conventional sources in both the shortwave and longwave.

ObjectivesThe rapid integration of artificial intelligence (AI) in healthcare requires robust legal safeguards to ensure safety, privacy and non-discrimination, crucial for maintaining trust. Yet, unaddressed differences in disciplinary perspectives and priorities risk impeding effective reform. This study uncovers convergences and divergences in disciplinary comprehension, prioritisation and proposed solutions to legal issues with health-AI, providing law and policymaking guidance.MethodsEmploying a scoping review methodology, we searched MEDLINE (Ovid), EMBASE (Ovid), HeinOnline Law Journal Library, Index to Foreign Legal Periodicals (HeinOnline), Index to Legal Periodicals and Books (EBSCOhost), Web of Science (Core Collection), Scopus and IEEE Xplore, identifying legal issue discussions published, in English or French, from January 2012 to July 2021. Of 18 168 screened studies, 432 were included for data extraction and analysis. We mapped the legal concerns and solutions discussed by authors in medicine, law, nursing, pharmacy, other healthcare professions, public health, computer science and engineering, revealing where they agree and disagree in their understanding, prioritisation and response to legal concerns.ResultsCritical disciplinary differences were evident in both the frequency and nature of discussions of legal issues and potential solutions. Notably, innovators in computer science and engineering exhibited minimal engagement with legal issues. Authors in law and medicine frequently contributed but prioritised different legal issues and proposed different solutions.Discussion and conclusionDiffering perspectives regarding law reform priorities and solutions jeopardise the progress of health AI development. We need inclusive, interdisciplinary dialogues concerning the risks and trade-offs associated with various solutions to ensure optimal law and policy reform.

ObjectivesStress and burn-out among surgical trainees has been reported most prevalent in core surgical trainees (CST) and female trainees in particular. This study aimed to identify factors perceived by CSTs to be associated with stress and burnout in those at risk.DesignAn open-ended questionnaire was distributed to 79 CSTs and two researchers categorised responses independently, according to Michie’s model of workplace stress.SettingA UK regional postgraduate medical region (Wales).ParticipantsSixty-three responses were received; 42 males, 21 females. The response rate was 79.7%.ResultsInter-rater reliability was good (k=0.792 (79.2%), p<0.001). The most common theme of Michie’s model related to CST stress and burnout was career development, with most statements associated with curriculum, examination and academic demands required to attain a CST certificate of completion of training, and higher surgical national training number appointment. This was closely followed by those intrinsic to the job with recurrent discussion around the difficulties balancing work perceived to be service provision (ward work and on-calls), outpatient clinic and operative experience. Conversely, the most common themes relevant to stress and burnout among female trainees were associated with relationships at work (primarily the male-dominated nature of surgery), extraorganisational factors (family–work life balance) and individual characteristics (personality and physiological differences).ConclusionCSTs’ perceptions regarding the causes of National Health Service related stress and burnout are numerous, and these findings provide a basis for the development of targeted stressor counter-measures to improve training and well-being.