University of Leeds

We explored the views of members of parliament (MPs) in Ghana on the call to decriminalise attempted suicide. We applied reflexive thematic analysis to Parliamentary Hansards (2017-2020) on calls to decriminalise attempted suicide in Ghana. 11 MPs shared their stance for or against the call. We developed three major themes that entailed, often, opposing views: (1) deterrent effect of the law (against: the law punishes and deters to protect life; for: the law is insensitive and has ironic effects), (2) enforcement of the law (against: leave things as they are, the law is not enforced, anyway; for: crime is not self-inflicted) and (3) prioritisation of suicide prevention (against: focus on more pressing issues, but resource support systems; for: the law and legitimate support systems cannot co-exist). The findings indicate two needs: to extend suicide literacy to Ghanaian MPs, and to initiate a public/private member's bill on attempted suicide decriminalisation.

The effect of Ability, Motivation, and Opportunities (AMO) on innovation and performance in SMEs Abstract The research aims to investigate the impact of practices that enhance Ability, Motivation, and Opportunities on innovation and performance in SMEs. Based on the positive model and quantitative methodology, all data were collected from a suitable sample of 430 cadres and workers of the SMEs category. The results revealed a positive impact of AMO on innovation and performance. The research findings can be useful for managers of SMEs and entrepreneurs to encourage them to adopt activities that contribute to building capacity and gaining knowledge to achieve the organizational goals of their companies. Keywords: Small and Medium Enterprises (SMEs); Human Resource Management (HRM); Ability, Motivation, and Opportunity (AMO), innovation performance

Membrane forces shift the equilibria of mechanosensitive channels enabling them to convert mechanical cues into electrical signals. Molecular tools to stabilize and methods to capture their highly dynamic states are lacking. Cyclodextrins can mimic tension through the sequestering of lipids from membranes. Here we probe the conformational ensemble of MscS by EPR spectroscopy, the lipid environment with NMR, and function with electrophysiology under cyclodextrin-induced tension. We show the extent of MscS activation depends on the cyclodextrin-to-lipid ratio, and that lipids are depleted slower when MscS is present. This has implications in MscS’ activation kinetics when distinct membrane scaffolds such as nanodiscs or liposomes are used. We find MscS transits from closed to sub-conducting state(s) before it desensitizes, due to the lack of lipid availability in its vicinity required for closure. Our approach allows for monitoring tension-sensitive states in membrane proteins and screening molecules capable of inducing molecular tension in bilayers.

In the literature on algorithms for computing multi-term addition $s_n=\sum_{i=1}^n x_i$ in floating-point arithmetic it is often shown that a hardware unit that has single normalization and rounding improves precision, area, latency, and power consumption, compared with the use of standard add or fused multiply–add units. However, non-monotonicity can appear when computing sums with a subclass of multi-term addition units, which is currently not explored in the literature. We prove that computing multi-term floating-point addition with n ≥ 4, without normalization of intermediate quantities, can result in non-monotonicity—increasing one of the addends x_i decreases the sum s_n . Summation is required in dot product and matrix multiplication operations, operations that are increasingly appearing in the hardware of high-performance computers, and knowing where monotonicity is preserved can be of interest to the developers and users. Non-monotonicity of summation in existent hardware devices that implement a specific class of multi-term adders may have appeared unintentionally as a consequence of design choices that reduce circuit area and other metrics. To demonstrate our findings we simulate non-monotonic multi-term adders in MATLAB using the CPFloat custom-precision floating-point simulator.

This paper investigates the real-time diagnosis of single and double open circuit faults (OCFs) in three-phase voltage source inverters (VSI). The method analyzes the phase current waveforms continuously in real-time, and abnormal patterns of the current waves due to the corresponding switch OCFs are extracted to define as the fault detection waveforms (FDW). The current values of the FDWs are analyzed and a new scheme is developed to distinguish current waveform patterns from those of normal to unbalanced loads situations and switch OCFs. The scheme detects the starting zero crossing point first and then checks the magnitudes of the FDW. Periodic detections are applied to identify whether the collected data samples are within the FDW current range. The OCFs of the inverter switches are identified by counting the fault points within the predicted samplings of FDWs. The method has been verified through both simulations and experiments. The results confirm the effectiveness of the proposed scheme.

A rotating wireless power transfer system based on a mixed flux coupler and dual-path parallel compensation is proposed in this paper. It can achieve stable and efficient wireless power transmission as well as accurate speed monitoring without adding an additional excitation, solving the problems of voltage instability and low efficiency in existing solutions. First, the system topology and working principle are presented. Then, the working characteristics of the mixed flux coupler are analyzed and optimized. The power, efficiency, and voltage gain formulas are derived for the system based on a dual-coupled inductor– capacitor–capacitor-series (LCC-S) compensation. Based on these theories and the functions that need to be achieved, a number of key design criteria are discussed. Practical experiments on rotating wireless power transmission, speed measurement, and dual-load interference have been carried out. The experimental results show that the proposed system can achieve accurate speed monitoring and stable wireless power transmission. The maximum power of the system can reach 163.59 W, and a maximum efficiency of more than 80% can be achieved. The proposed technique has the potential to significantly contribute to the further development of wireless power transfer technology for rotating machines, such as wind turbines, machining equipment, and robot joints.

We investigate the use of high-dimensional quantum key distribution (HD-QKD) for wireless access to hybrid quantum-classical networks. We use $d$ -dimensional time-phase encoded states to exchange a secret key between an indoor wireless user and the central office on the other end of the access network. We evaluate the performance in the case of transmitting quantum and classical signals over the same passive optical network by accounting for the impact of background noise induced by the Raman-scattered light on the QKD receiver. We also take into account the loss and background noise that occur in indoor environments as well as finite key effects in our analysis. By studying the system under nominal simulation conditions, we identify regimes of operation in which an HD-QKD system with $d=4$ can outperform its qubit-based counterpart.

Background Equal, diverse, and inclusive teams lead to higher productivity, creativity, and greater problem-solving ability resulting in more impactful research. However, there is a gap between equality, diversity, and inclusion (EDI) research and practices to create an inclusive research culture. Research networks are vital to the research ecosystem, creating valuable opportunities for researchers to develop their partnerships with both academics and industrialists, progress their careers, and enable new areas of scientific discovery. A feature of a network is the provision of funding to support feasibility studies – an opportunity to develop new concepts or ideas, as well as to ‘fail fast’ in a supportive environment. The work of networks can address inequalities through equitable allocation of funding and proactive consideration of inclusion in all of their activities. Methods This study proposes a strategy to embed EDI within research network activities and funding review processes. This paper evaluates 21 planned mitigations introduced to address known inequalities within research events and how funding is awarded. EDI data were collected from researchers engaging in a digital manufacturing network activities and funding calls to measure the impact of the proposed method. Results Quantitative analysis indicates that the network’s approach was successful in creating a more ethnically diverse network, engaging with early career researchers, and supporting researchers with care responsibilities. However, more work is required to create a gender balance across the network activities and ensure the representation of academics who declare a disability. Preliminary findings suggest the network’s anonymous funding review process has helped address inequalities in funding award rates for women and those with care responsibilities, more data are required to validate these observations and understand the impact of different interventions individually and in combination. Conclusions In summary, this study offers compelling evidence regarding the efficacy of a research network's approach in advancing EDI within research and funding. The network hopes that these findings will inform broader efforts to promote EDI in research and funding and that researchers, funders, and other stakeholders will be encouraged to adopt evidence-based strategies for advancing this important goal.

Artificial intelligence (AI) technology poses possible threats to existing jobs. These threats extend not just to the number of jobs available but also to their quality. In the future, so some predict, workers could face fewer and potentially worse jobs, at least if society does not embrace reforms that manage the coming AI revolution. This paper uses the example of Daron Acemoglu and Simon Johnson’s recent book—Power and Progress (2023)—to illustrate some of the dilemmas and options for managing the future of work under AI. Acemoglu and Johnson, while warning of the potential negative effects of an AI-driven automation, argue that AI can be used for positive ends. In particular, they argue for its uses in creating more ‘good jobs’. This outcome will depend on democratising AI technology. This paper is critical of the approach taken by Acemoglu and Johnson—specifically, it misses the possibility for using AI to lighten work (i.e., to reduce its duration and improve its quality). This paper stresses the potential benefits of automation as a mechanism for lightening work. Its key arguments aim to advance critical debates focused on creating a future in which AI works for people not just for profits.

Today, more than 70 carbon pricing schemes have been implemented around the globe, but their contributions to emissions reductions remains a subject of heated debate in science and policy. Here we assess the effectiveness of carbon pricing in reducing emissions using a rigorous, machine-learning assisted systematic review and meta-analysis. Based on 483 effect sizes extracted from 80 causal ex-post evaluations across 21 carbon pricing schemes, we find that introducing a carbon price has yielded immediate and substantial emission reductions for at least 17 of these policies, despite the low level of prices in most instances. Statistically significant emissions reductions range between –5% to –21% across the schemes (–4% to –15% after correcting for publication bias). Our study highlights critical evidence gaps with regard to dozens of unevaluated carbon pricing schemes and the price elasticity of emissions reductions. More rigorous synthesis of carbon pricing and other climate policies is required across a range of outcomes to advance our understanding of “what works” and accelerate learning on climate solutions in science and policy.

Off-grid photovoltaic systems have been proposed as a panacea for economies with poor electricity access, offering a lower-cost “leapfrog” over grid infrastructure used in higher-income economies. Previous research examining pathways to electricity access may understate the role of off-grid photovoltaics as it has not considered reliability and carbon pricing impacts. We perform high-resolution geospatial analysis on universal household electricity access in Sub-Saharan Africa that includes these aspects via least-cost pathways at different electricity demand levels. Under our “Tier 3" demand reference scenario, 24% of our study’s 470 million people obtaining electricity access by 2030 do so via off-grid photovoltaics. Including a unit cost for unmet demand of 0.50 US dollars ($)/kWh, to penalise poor system reliability increases this share to 41%. Applying a carbon price (around $80/tonne CO2-eq) increases it to 38%. Our results indicate considerable diversity in the level of policy intervention needed between countries and suggest several regions where lower levels of policy intervention may be effective.

To achieve sustainable shark fisheries, it is key to understand not only the biological drivers and environmental consequences of overfishing, but also the social and economic drivers of fisher behavior. The extinction risk of sharks is highest in coastal tropical waters, where small‐scale fisheries are most prevalent. Small‐scale fisheries provide a critical source of economic and nutritional security to coastal communities, and these fishers are among the most vulnerable social and economic groups. We used Kenya's and Zanzibar's small‐scale shark fisheries, which are illustrative of the many data‐poor, small‐scale shark fisheries worldwide, as case studies to explore the relationship between extinction risk and the economic and nutritional value of sharks. To achieve this, we combined existing data on shark landings, extinction risk, and nutritional value with sales data at 16 key landing sites and information from interviews with 476 fishers. Shark fisheries were an important source of economic and nutritional security, valued at >US$4 million annually and providing enough nutrition for tens of thousands of people. Economically and nutritionally, catches were dominated by threatened species (72.7% and 64.6–89.7%, respectively). The most economically valuable species were large and slow to reproduce (e.g. mobulid rays, wedgefish, and bull, silky, and mako sharks) and therefore more likely to be threatened with extinction. Given the financial incentive and intensive fishing pressure, small‐scale fisheries are undoubtedly major contributors to the decline of threatened coastal shark species. In the absence of effective fisheries management and enforcement, we argue that within small‐scale fisheries the conditions exist for an economically incentivized feedback loop in which vulnerable fishers are driven to persistently overfish vulnerable and declining shark species. To protect these species from extinction, this feedback loop must be broken.

Dietary folate intake has been identified as a potentially modifiable factor of gastric cancer (GC) risk, although the evidence is still inconsistent. We evaluate the association between dietary folate intake and the risk of GC as well as the potential modification effect of alcohol consumption. We pooled data for 2829 histologically confirmed GC cases and 8141 controls from 11 case–control studies from the international Stomach Cancer Pooling Consortium. Dietary folate intake was estimated using food frequency questionnaires. We used linear mixed models with random intercepts for each study to calculate adjusted odds ratios (OR) and 95% confidence interval (CI). Higher folate intake was associated with a lower risk of GC, although this association was not observed among participants who consumed >2.0 alcoholic drinks/day. The OR for the highest quartile of folate intake, compared with the lowest quartile, was 0.78 (95% CI, 0.67–0.90, P‐trend = 0.0002). The OR per each quartile increment was 0.92 (95% CI, 0.87–0.96) and, per every 100 μg/day of folate intake, was 0.89 (95% CI, 0.84–0.95). There was a significant interaction between folate intake and alcohol consumption (P‐interaction = 0.02). The lower risk of GC associated with higher folate intake was not observed in participants who consumed >2.0 drinks per day, ORQ4v Q1 = 1.15 (95% CI, 0.85–1.56), and the OR100 μg/day = 1.02 (95% CI, 0.92–1.15). Our study supports a beneficial effect of folate intake on GC risk, although the consumption of >2.0 alcoholic drinks/day counteracts this beneficial effect.

Much envisaging of the future is inherently ableist. Euro-American cultural imaginaries traditionally have emphasised the narrative of medical progress, assuming the end of impairment. Disability is a frequent trope for and in dystopias, whereas more positive or progressive futures ignore the presence and aspirations of disabled people who are frequently excluded from individual and collective endeavours to articulate and shape the future. They are presumed to be in effect ‘futureless’, lacking a future of value, leaving an unoccupied space for existing inequalities and privileges to flourish. This paper brings disability studies and sociology of futures into dialogue and makes the case for creating crip space(s) within sociologies of the future. Foregrounding disability can trouble and enrich sociological engagements with futurity, while analytic perspectives from sociology of futures can inform scholarship in disability studies.

In the exoskeleton-assisted rehabilitation scenarios, sensors need to have strong resistance to environmental interference and long-term monitoring stability. Commonly used body temperature measurement equipment cannot be recorded and worn for long periods. Based on the advantages of optical fiber sensors that are resistant to electromagnetic interference, have strong environmental adaptability, and have good stability after being fabricated and packaged in a specific structure. This article proposes a human body temperature sensing probe that uses capillary copper tubes to encapsulate the F-P cavity structure. The UV glue is applied at the end of the optical fiber and cured to form an F-P microcavity, which is encapsulated with a copper tube for thermal conductivity and protection. It can be fixed anywhere on the body surface with medical tape. Theoretical derivation and numerical simulation are carried out on the interference principle and temperature sensing principle of the F-P cavity. The characteristics of the sensing probe are tested and body temperature monitoring is performed on the human wrist and armpit. The experimental results show that the probe has good stability, repeatability, sensitivity and signal-to-noise ratio. The average standard deviation of the dip wavelength at constant temperature is 16.7 pm. The sensor sensitivity is about 287.3 pm/ °C. The capillary structure makes the temperature response speed faster than that of electronic sensors. The proposed F-P sensing probe can be applied to human body sign information monitoring and feedback in rehabilitation, which is conducive to the realization of efficient and intelligent rehabilitation strategies.

Background Childhood, adolescent and young adult (CAYA) cancer survivors are vulnerable to adverse late-effects. For CAYA cancer survivors, tobacco smoking is the most important preventable cause of ill-health and early death. Yet, effective strategies to support smoking cessation in this group are lacking. The PRISM study aims to undertake multi-method formative research to explore the need for, and if appropriate, inform the future development of an evidence-based and theory-informed tobacco smoking cessation intervention for CAYA cancer survivors. Materials and methods PRISM involves three phases of: 1) an environmental scan using multiple strategies to identify and examine a) smoking cessation interventions for CAYA cancer survivors that are published in the international literature and b) current smoking cessation services in England that may be available to, or tailorable to, CAYA cancer survivors; 2) a qualitative study involving semi-structured interviews with CAYA cancer survivors (aged 16–29 years and who are current or recent ex-smokers and/or current vapers) to explore their views and experiences of smoking, smoking cessation and vaping; and 3) stakeholder workshops with survivors, healthcare professionals and other stakeholders to consider the potential for a smoking cessation intervention for CAYA cancer survivors and what such an intervention would need to target and change. Findings will be disseminated to patient groups, healthcare professionals and researchers, through conference presentations, journal papers, plain English summaries and social media. Discussion PRISM will explore current delivery of, perceived need for, and barriers and facilitators to, smoking cessation advice and support to CAYA cancer survivors from the perspective of both survivors and healthcare professionals. A key strength of PRISM is the user involvement throughout the study and the additional exploration of survivors’ views on vaping, a behaviour which often co-occurs with smoking. PRISM is the first step in the development of a person-centred, evidence- and theory-based smoking cessation intervention for CAYA cancer survivors who smoke, which if effective, will reduce morbidity and mortality in the CAYA cancer survivor population.

Social network analysis can support quality improvement in care homes but traditional approaches to social network analysis are not always feasible in care homes. Recalling contacts and movements in a home is difficult for residents and staff and documentary and other sources of individual contacts can be unreliable. Bluetooth enabled wearable devices are a potential means of generating reliable, trustworthy, social network data in care home communities. In this paper, we explore the empirical, theoretical and real-world potential and difficulties in using Bluetooth enabled wearables with residents and staff in care homes for quality improvement. We demonstrate, for the first time, that a relatively simple system built around the Internet of Things, Bluetooth enabled wearables for residents and staff and passive location devices (the CONTACT intervention) can capture social networks and data in homes, enabling social network analysis, measures, statistics and visualisations. Unexpected variations in social network measures and patterns are surfaced, alongside “uncomfortable” information concerning staff time spent with residents. We show how technology might also help identify those most in need of social contact in a home. The possibilities of technology-enabled social network analysis must be balanced against the implementation-related challenges associated with introducing innovations in complex social systems such as care homes. Behavioural challenges notwithstanding, we argue that armed with social network information, care home staff could better tailor, plan and evaluate the effects of quality improvement with the sub-communities that make up a care home community.