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Socio-economic impacts in the development of CCS and new energy storage technologies in the power Industry:A CGE model analysis
Full text linkCarbon capture and storage (CCS) and advanced energy storage technologies are critical for China's carbon neutrality goals. This study assesses their economic and power sector impacts using a Computable General Equilibrium (CGE) model, analyzing five CCS cost scenarios (C1–C5), three energy storage breakthroughs (S1–S3), and 15 combined scenarios (S1C1–S3C5). Results show that deep decarbonization by 2060 is achievable through CCS alone (C1–C3) or in combination with energy storage, while energy storage alone is insufficient. Combined scenarios generally yield higher GDP and power sector output, with the S1C1 scenario (storage breakthrough by 2030 + low-cost CCS) achieving the largest GDP growth (1.943 trillion yuan) and the highest power sector output increase (10.472 %). Employment rises in most scenarios, with the highest gains in S2C1 and S3C1, creating up to 582,030 new jobs. While CCS alone incurs high costs, its integration with energy storage—particularly in S1C1—minimizes economic and employment trade-offs. In S1C1, every ton of CO2 reduced increases GDP by 1071.34 yuan and creates 79,200 jobs. Prioritizing early energy storage breakthroughs and optimizing CCS deployment can maximize economic and employment benefits while ensuring deep decarbonization.</p
For the love of Lego®:exploring the perceptions and use by academics in higher education
Full text linkThis study investigates the perceptions and utilisation of Lego® among academics in Higher Education, employing semi-structured interviews with eleven participants from a UK institution. Through snowball sampling, a network of participants engaged in incorporating Lego® and Lego® Serious Play® within Higher Education contexts was established. In-depth interviews were conducted to gain insights into their experiences and applications. The findings reveal three primary themes: Pedagogical Impact, Integration and Methodology, and Challenges. Lego® Serious Play® was found to enhance deep learning, student engagement, and critical thinking, yet challenges such as resource limitations, the need for educator training, and resistance to non-traditional teaching methods were also identified. This research underscores the role of Lego® Serious Play® in enabling future skills like teamwork, communication, and creative problem-solving, while promoting inclusivity and diversity in the classroom. The study contributes to the existing body of knowledge and offers practical recommendations for educators seeking to enhance teaching practices, integrate additional tools, and support student success in a complex educational landscape.KEYWORDS
Advanced exergy and exergoeconomic analyses of a novel low-temperature industrial waste driven combined power and hydrogen system
Full text linkEfficient and low-cost waste heat recovery is critical for alleviating energy crisis and environmental challenges. This study proposes a combined power and hydrogen system comprising a reversed Brayton cycle, methanol decomposition-based thermochemical recuperation reaction unit, reheating SCO2 cycle and two organic Rankine cycles. By coupling reversed Brayton cycle and thermochemical recuperation unit to upgrade the low-grade waste heat to high-grade chemical energy via methanol decomposition: the separated hydrogen is delivered for multiple end uses, and the upgraded high-temperature flue gas generated by CO combustion is subsequently supplied to drive the downstream power cycles. To overcome the lack of in-depth analysis of avoidable exergy destruction and exergy-based avoidable costs in energy systems, both conventional and advanced exergetic techniques are used to reveal the potential for techno-economic performance improvement. The results indicate that the exergy efficiency is 60.26 % under real condition and could be increased to 62.19 % under unavoidable condition. Conventional analysis results the combustion chamber yields the highest exergy destruction rate of 313.51 kW and total cost rate of 42.33 /h. Furthermore, the endogenous part of both exergy destruction rate and exergy cost rate are higher than the exogenous part of them for all the components in the system, which indicates that the intrinsic exergy destruction rate of each component dominates the thermo-economic performance of the system. Overall, the avoidable exergy destruction/cost/investment cost of the system accounts for 5.62 %, 12.41 % and 15.02 % of the total, respectively, thereby indicating the substantial potential for system optimization.</p
Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks
No full textThis study provides a comprehensive dataset (FAIRUrbTemp) that addresses the lack of high-resolution urban air temperaturedata across Europe. It compiles sub-hourly street-level air temperature data from 811 low-cost to commercial sensors acrossseveral European cities and offers data in a quality-controlled, standardized format in sub-hourly, hourly, and daily resolutions.In addition, detailed metadata, as an important source of information in urban studies, is provided at network, station, andmeasurement levels. This pan-European dataset is rigorously quality-controlled using a serially automatic method applicable todiverse city-scale air temperature data, which identifies systematic and minor inconsistencies to enhance reliability. Expertbasedvalidation shows that the QC reliably identifies problematic measurements, while its performance varies across urbanand climatic settings due to local environmental and instrumental effects. To ensure transparency, the results of the qualitycontrol are provided to the user together with the original value in the dataset. The validated FAIRUrbTemp is a valuableresource for urban climate studies, with direct applications in validating microclimate models, assessing heat-health risks, andinforming climate-adaptive urban planning
A Systematic Review of Interventions Designed to Reduce Surgical Site Infection in Patients Who Undergo Transmetatarsal Amputation
No full textIntroduction Surgical site infection (SSI) following transmetatarsal amputation (TMA) is thought to be common. In patients who have peripheral arterial disease (PAD) or diabetes related foot complications, little is known regarding the effectiveness of interventions designed to reduce SSI following TMA. Our aim was to perform a systematic review of the literature to inform practice and highlight areas that warrant further research to reduce SSI post TMA.Methods This review was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance and was prospectively registered with the International Prospective Register of Systematic Reviews (CRD4202454958). MEDLINE, EMBASE and Cochrane databases were searched using a predefined search strategy, without date restriction. All randomised controlled trials (RCTs) and observational studies including patients that underwent TMA due to PAD or complications of diabetes related foot disease, with at least 1 intervention designed to promote wound healing or reduce SSI were included. Bias was assessed using the Cochrane Risk of Bias Tool and the Newcastle-Ottawa Scale.Results The initial search identified 445 papers. Two RCTs and three observational studies, reporting on 378 TMAs and four interventions, were included. The effect of post-operative antibiotic use on the incidence of SSI differed between the studies. The use of antibiotic-impregnated beads embedded within the soft tissues prior to wound closure were associated with a reduction in SSI rate. The use of Negative Pressure Wound Therapy (NPWT) was associated with a reduction in SSI incidence and faster wound healing. No significant difference was identified in the incidence of SSI between different skin preparations.Conclusion Data regarding interventions to prevent SSI following TMA are sparse in the current literature. Prolonged post-operative antibiotic use could reduce SSI, while NPWT and antibiotic beads may be beneficial to wound healing. However, larger more robust RCTs are required to confirm these findings.</p
Dissociation and CoMorbid Complexity:Psychosis, Autism and OCD
No full textComorbid mental health difficulties are common among individuals experiencing trauma-related dissociation. Such comorbidity can create significant complexity. This chapter begins by considering a transdiagnostic approach to formulation to help clinicians understand the influence dissociation may have within and across different comorbid clinical presentations. Three common conditions associated with dissociation (and with one another) are explored in further detail: psychosis; autism; and obsessive-compulsive disorder. Conceptual and clinical overlaps with dissociation are then explored, with a summary of the literature, practice guidance and clinical and lived experience examples. Through this, general considerations for addressing the broader range of comorbid and co-occurring difficulties experienced by people with complex dissociation, are illustrated.</p
WEIRD but Also Inconsistent:An Analysis of the Reporting Practices of Participant Samples Across Five Areas of Psychology
Full text linkIn this study, we systematically investigate the Methods sections of five journals covering core areas of Psychology: Social, health, clinical, developmental, and general psychological science. Journals were published by the British Psychology Society between January 2021 and December 2023 (Narticles = 661; Nsamples = 1293). As expected, we found an over‐reliance on Western perspectives: Participants from Latin America, Eastern Europe, the Middle East, and Africa made up 8.7% of samples combined. However, we also found substantial variation in whether and where participants' gender, race, SES indicators, and education were reported across different areas of Psychology, as well as different norms in the use of students and crowd‐sourcing platforms. Given the challenges of representation in Psychology and the importance of interdisciplinary perspectives, we make a case for a unified standard of reporting that allows readers to more readily access how findings generalise to populations beyond those sampled
The relationship between speed and curvature differs in autistic and non-autistic tracing movements
No full textA growing field documents differences in autism in movement-based tasks such as handwriting, throwing a ball and social gestures. Usefully, complex movements such as social gestures and cursive handwriting can be decomposed to signature regularities that match those of “pure frequency” shapes including spirals, ellipses and rounded triangles. By studying the way that autistic and non-autistic people draw pure frequency shapes we can therefore predict movement patterns for a range of complex functional actions and gestures, and we can gain insights that may help us understand potential mechanisms underlying any differences. Correspondingly, we recorded the x and y position of a stylus tip as 21 autistic and 19 non-autistic adults (matched for age, IQ, and sex) traced a range of pure frequency shapes on a tablet. The relationship between speed and curvature across the pure frequency shapes typically follows a set of mathematical equations which can be thought of as a “spectrum of power laws”. We compared the speed-curvature relationship between groups and, additionally used fast Fourier transform (FFT) to investigate potential mechanisms. Autistic and non-autistic adults differed in the relationship between speed and curvature. FFT revealed that non-autistic participants narrowly modulated speed oscillations around target frequencies, while autistic participants showed broader speed modulation profiles, potentially indicative of differences in the bodily filtering of outgoing movement signals coming from the brain. Our results enable predictions about how autistic individuals might execute a range of functional movements, and may help in the development of support structures for complex tasks like writing
Hybrid explainable machine learning models for predicting rapid chloride penetration test and sorptivity of self-compacting concrete with fly ash and silica fume under thermal exposure
Full text linkIn this study, a comprehensive dataset comprising 360 Rapid Chloride Penetration Test (RCPT) and 360 sorptivity measurements from 60 self-compacting concrete (SCC) mixtures with varying fly ash and silica fume contents and different temperature exposures was analyzed. To reduce reliance on labor-intensive experiments, four hybrid predictive models were developed by integrating XGBoost with metaheuristic optimization algorithms, namely Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and African Vultures Optimization Algorithm (AVOA). While the primary focus is on enhancing predictive accuracy, with the XGBoost-WOA model achieving the best performance, the modeling framework also provides a foundation for future exploration of the influence of supplementary cementitious materials and curing conditions on SCC durability. Feature importance analysis identified temperature as the most critical variable influencing both RCPT (permutation score: 0.649, SHAP: 110.626) and sorptivity (permutation score: 0.993, SHAP: 2.694). Furthermore, Monte Carlo simulations incorporating ±5% input noise confirmed the accuracy under uncertain input variable. To enhance practical utility, a Python-based GUI was developed using Tkinter, enabling users to predict RCPT and sorptivity values for SCC mixes containing FA and SF. Beyond offering an efficient alternative to traditional laboratory testing, the developed AI models have revealed new correlations between mix composition and durability performance
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