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Breaking barriers with disability inclusion: brand activism as a catalyst for social sustainability in fashion
No full textBrand activism is an emerging strategy aimed at fostering social sustainability in fashion. Despite efforts in inclusivity concerning diverse races, colours, and body shapes in model representation, fashion’s approach to authentic disability inclusion remains lacking. Often, portrayals of disabled models evoke sympathy, deviating from fashion’s aspirational ideals. This chapter seeks to delve into successful fashion marketing strategies that genuinely incorporate disabilities. By examining the convergence of brand activism and authentic disability inclusion, it aspires to dismantle barriers and cultivate an inclusive culture, thereby elevating social sustainability.The Palgrave Handbook of Sustainability in Fashio
Noise-robust modal parameter identification and damage assessment for aero-structures
No full textPurpose
Ground vibration testing is critical for aircraft design and certification. Fast relaxed vector fitting (FRVF) and Loewner framework (LF), recently extended to modal parameter extraction in mechanical systems to address the computational challenges of time and frequency domain techniques, are applied for damage detection on aeronautically relevant structures.
Design/methodology/approach
FRVF and LF are applied to numerical datasets to assess noise robustness and performance for damage detection. Computational efficiency is also evaluated. In addition, they are applied to a novel damage detection benchmark of a high aspect ratio wing, comparing their performance with the state-of-the-art method N4SID.
Findings
FRVF and LF detect structural changes effectively; LF exhibits better noise robustness, while FRVF is more computationally efficient.
Practical implications
LF is recommended for noisy measurements.
Originality/value
To the best of the authors’ knowledge, this is the first study in which the LF and FRVF are applied for the extraction of the modal parameters in aeronautically relevant structures. In addition, a novel damage detection benchmark of a high-aspect-ratio wing is introduced.This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) (grant number 2277626).Aircraft Engineering and Aerospace Technolog
Understanding of probiotic origin antimicrobial peptides: a sustainable approach ensuring food safety
Get PDFThe practice of preserving and adding value to food dates back to over 10,000 BCE, when unintentional microbial-driven chemical reactions imparted flavor and extended the shelf life of fermented foods. The process evolved, and with the urbanization of society, significant shifts in dietary habits emerged, accompanied by sporadic food poisoning incidents. The repercussions of the COVID-19 pandemic have intensified the search for antibiotic alternatives owing to the rise in antibiotic-resistant pathogens, emphasizing the exploration of probiotic-origin antimicrobial peptides to alleviate human microbiome collateral damage. Often termed 'molecular knives', these peptides outstand as potent antimicrobials due to their compatibility with innate microflora, amenability to bioengineering, target specificity, versatility and rapidity in molecular level mode of action. This review centres on bacteriocins sourced from lactic acid bacteria found in ethnic fermented foods, accentuating their desirable attributes, technological applications as nanobiotics and potential future applications in the modern context of ensuring food safety.University Grant Commission, India, Ministry of Human Resource Development, India, National Agricultural Science Fund of ICAR, INDIAnpj Science of Foo
Data related to "Examining disruptive gas-phase reactions during CO2 capture in membrane contactors: CO2-NH3-H2O as a model ternary system"
No full textData related to figures for "Examining disruptive gas-phase reactions during CO2 capture in membrane contactors: CO2-NH3-H2O as a model ternary system
Analysis of scaling relationships for flood parameters and peak discharge estimation in tropical regions data
No full textHydrological data from the La Sierra catchment (Mexico), including input data used in the statistical modelling and output data from the scaling, correlation and regression analyses. Please see the readME file for the list of data and the published paper for more informationCentre for Doctoral Training for Data, Risk and Environmental Analytical Methods (DREAM
Achieving sustainable development goals through common-good HRM: Context, approach and practice
Get PDFThis introduction to the special issue Achieving Sustainable Development Goals through Common-Good HRM: Context, approach and practice draws the links between the United Nations Sustainable Development Goals (SDGs), the concept of Common-Good HRM and the practice of human resource management (HRM) to extend intellectual and empirical insights into this important field. Particular attention is accorded to the collective social and environmental dimensions of SDGs and the place of HRM in contributing to the ‘common good’ within and beyond the workplace. Firms may create space and incentives for HRM to promote sustainability, or actively work to constrain meaningful action in this regard. This collection brings together a broad cross-section of articles dealing with the SDGs and HRM, identifying emerging common ground and contestation as a basis for future HRM theory building, empirical enquiry and practice.German Journal of Human Resource Managemen
Tuning of a Complementary Orientation Filter Using Velocity Data and a Genetic Algorithm
No full textThe data uploaded here contains the experimental and simulation data used to demonstrate the utility of the optimisation of a complementary orientation filter using a genetic algorithm (GA). Implementation of the GA in MATLAB is provided as well as supporting functions such as the zero velocity update and weighted-relative velocity error metric (W-RVE). The novelty of the work is the optimal tuning of the complementary filter gain using a GA and velocity data of an object moving in the locally level frame. Optimal filter gains are encoded a Takagi-Sugeno (TS) fuzzy inference system with four Gaussian membership functions. This offers a transparent and traceable encoding.Industrial CASE Account - Cranfield University 201
Data for Storage duration and temperature affect pathogen load, heavy metals, and nutrient levels in faecal derived fertiliser
No full textThis dataset describes the changes in nutrient characteristics and pathogen in two types of stored faecal derived fertiliser over a period of time.Sue White Fund for Africa - Cranfield Universit
Building higher value-added firm practices in challenging contexts: formal networks and talent management in Turkey
Get PDFWhere do high-impact human resources management practices thrive, and how do they make a difference in environments with limited institutional support? This study delves into the realm of talent management (TM) in Turkey, where institutional coverage is incomplete and unstable. Drawing on survey data, we explore the conditions under which TM succeeds, supplementing previous research on internal networks by examining the impact of external networks that encompass the entire firm. We find that when firms have closer ties with customers, suppliers and competitors (and hence, the basis for formal network tie building), TM is more prevalent and more likely to be successful. While conventional wisdom in comparative institutional literature suggests that such dense ties might be less effective in emerging markets owing to the absence of advanced complementarities found in mature economies, our study challenges these assumptions. In the eyes of managers, TM is not merely a tool to overcome disadvantages; it is perceived as a source of opportunities. This prompts a critical question: what specific advantages does the emerging economy system confer on firms embracing TM? Our study seeks to unravel these dynamics and contribute to a deeper understanding of the interplay between institutional contexts and TM.Human Relation
An anti-fraud double auction model in vehicle-to-vehicle energy trading with the k-factor approach
Get PDFThe rise in electric vehicle adoption has reduced greenhouse gas emissions in transportation but overloads the power grid due to charging demands. This paper introduces a Double Auction (DA) model in Vehicle-to-Vehicle (V2V) energy trading with the K-factor approach. The novel approach defines unique market clearing prices for each successfully matched V2V transaction pairs, robustly counteracts potential economic fraud. It overcomes shortcoming of some other models of sacrificing participants who could have conducted V2V transactions in order to prevent economic fraud. Meanwhile, the model ensures transactional economic benefits, transparency and fairness. This work facilitates EV adoption across the UK and globally, by increasing confidence and convenience in energy trading mechanisms.This work is partly supported by UK Department for Transport (DfT), ‘App for Peer to Peer energy trading with electric vehicles’, and Royal Society Sino-British Fellowship Trust International Exchanges Award (ref IES\R3\203114).2023 IEEE International Conferences on Internet of Things (iThings