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Examining the Impact of Sensory Brand Experience on Brand Loyalty
Get PDFThis research investigates five sensory cues (i.e. visual, auditory, olfactory, tactile, and taste) influencing sensory brand experience leading to brand loyalty through customer satisfaction, brand attachment, and customer lovemarks. It also investigates the role of employee empathy in moderating the effect of sensory brand experience on customer satisfaction, brand attachment, and customer lovemarks. Our investigation followed a mixed-method research design, a predominantly quantitative approach by using questionnaire responses from 512 Chinese consumers, which is supported by 10 in-depth interviews and 4 focus group discussions to gain early insights into the subject area. The results suggest that five sensory cues have a significant impact on sensory brand experience and, in turn, contribute to customer satisfaction, brand attachment, and customer lovemarks. It also suggests that not all dimensions of customer satisfaction and brand attachment predict brand loyalty, and employee empathy negatively moderates the relationship between sensory brand experience and customer lovemarks
The Tools of External Migration Policy in the EU Member States: The Case of Italy
Get PDFThis article focuses on the external dimension of migration policy (EXMIPO) in the EU member states (MSs), through a policy tool approach. It offers an analytical framework for conceptualizing MS EXMIPO, by (1) unpacking its tools and (2) understanding their relationship with EU-level migration governance, as based on competition, convergence and complementarity. Empirically, it examines the case of Italy, building on an original dataset spanning over 30 years and 125 instruments. Through the Italian case, this article demonstrates that MSs have developed an intense external action at the bilateral level in the field of migration, which has expanded quantitatively and qualitatively, alongside (and despite) EU initiatives.The Siracusa International Institute for Criminal Justice and Human Rights, Project ‘DEPMI-Dimensione Esterna Politica di Migrazione Italiana’. Grant Number: 2021-202
Brexit-like rhetoric on immigration no longer works
Get PDFBlogAll articles posted on this blog give the views of the author(s), and not the position of LSE British Politics and Policy, nor of the London School of Economics and Political Science.
Image credit: 1000 words on ShutterstockThe Government’s rhetoric on curbing immigration, and “stopping the small boats” in particular, has strong echoes of the Brexit campaign. As Matilde Rosina and Cristina Juverdeanu point out, the same themes, keywords, and even graphics are being used by the Government that were originally used by Brexit campaigners. The only difference is, this time the campaign doesn’t seem to be working
Evidence for the Higgs Boson Decay to a Z Boson and a Photon at the LHC
No full textThe first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018. These correspond to integrated luminosities of around 140 fb−1 for each experiment, at a center-of-mass energy of 13 TeV. The measured signal yield is 2.2 ±0.7 times the standard model prediction, and agrees with the theoretical expectation within 1.9 standard deviations.SCOAP
Racial microaggressions on the initial teacher education programmes: implications for minority ethnic teacher retention
Get PDFThe representation and retention in the teaching profession are lower for people from all minority ethnic groups in England. The most significant ethnic disparities were found to occur in the early career stages (Worth et al., 2022). This article draws on critical race theory to investigate how racism, in the form of racial microaggressions, contributes to these disparities. It shares the findings from a small-scale research project on student teachers’ experiences of racial microaggressions while learning to teach and discusses the implications for retention in the profession. It draws on a pilot survey (N = 42) and interview data from 14 pre-service teachers from a variety of ethnic and subject backgrounds to explore participants’ racialised experiences on school placements, as well as university elements of the Initial Teacher Education (ITE) programme in England. The findings suggest that microaggressions were more common on school placements than at universities. There is evidence to suggest that experiences of racial microaggressions may negatively affect minority ethnic student teachers’ thoughts on viability in the teaching profession.The work was supported by the UCL Centre for Teachers and Teaching Research (Minority ethnic PGCE student teachers’ racialised experiences while learning to teach and the implications for retention project)
Navigating Design Science Research in mHealth Applications: A Guide to Best Practices
Get PDFThe rapid proliferation of mobile devices and advancements in wireless technologies have given rise to a new era of healthcare delivery through mobile health (mHealth) applications. Design Science Research (DSR) is a widely used research paradigm that aims to create and evaluate innovative artifacts to solve real-world problems. This paper presents a comprehensive framework for employing DSR in mHealth application projects to address healthcare challenges and improve patient outcomes. We discussed various DSR principles and methodologies, highlighting their applicability and importance in developing and evaluating mHealth applications. Furthermore, we present several case studies to exemplify the successful implementation of DSR in mHealth projects and provide practical recommendations for researchers and practitioners
EV20/Omomyc: A novel dual MYC/HER3 targeting immunoconjugate
Get PDFData availability: Data will be made available on request.Supplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S0168365924005480#s0125 .MYC is one of the most important therapeutic targets in human cancer. Many attempts have been made to develop small molecules that could be used to curb its activity in patients, but most failed to identify a suitable direct inhibitor. After years of preclinical characterization, a tissue-penetrating peptide MYC inhibitor, called Omomyc, has been recently successfully used in a Phase I dose escalation study in late-stage, all-comers solid tumour patients. The study showed drug safety and positive signs of clinical activity, prompting the beginning of a new Phase Ib combination study currently ongoing in metastatic pancreatic adenocarcinoma patients. In this manuscript, we have explored the possibility to improve Omomyc targeting to specific cancer subtypes by linking it to a therapeutic antibody. The new immunoconjugate, called EV20/Omomyc, was developed by linking a humanised anti-HER3 antibody, named EV20, to Omomyc using a bifunctional linker. EV20/Omomyc shows antigen-dependent penetrating activity and therapeutic efficacy in a metastatic model of neuroblastoma. This study suggests that directing Omomyc into specific cell types using antibodies recognising tumour antigens could improve its therapeutic activity in specific indications, like in the paediatric setting.This work was supported partially by Mediapharma and by Fondazione-AIRC(GS: IG GRANT 2016, Id 18,467)
Energy-exergy-economic-environmental (4E) analysis and multi-objective optimization of a cascade refrigeration system
Get PDFData availability: No data was used for the research described in the article.The present work focusses on 4E analysis of a 50 kW cooling capacity cascade refrigeration cycle covering the aspects of energy, exergy, economic and environment analysis. The numerical investigation and the multi-objective optimization is carried out for the system using the refrigerant pair R170-R600a and R41-R600a. The refrigerant pair is selected based on the environmental implications in terms of GWP and ODP. Multi-objective optimization of the objective functions is carried out using a heat transfer search optimization algorithm to evaluate the optimal performance of the system. The effect of evaporator temperature, condenser temperature, LTC condenser temperature and LTC condenser temperature difference on the exergy efficiency and total cost of the system is studied. A set of multiple optimal solutions is presented using the Pareto optimal curve and TOPSIS criteria is employed to select the optimal operating condition. Compared to the refrigerant pair R170-R600a, the system with R41-R600a operates at better exergy efficiency and lower total cost. At the TOPSIS selected optimal condition, exergy efficiency and the total cost of the CRS is 63.5 % and 65,228 /year for R170-R600a, respectively. The distribution of variables shows that the effect of the evaporation temperature, condensation temperature and the LTC condenser temperature is profound in obtaining the optimal solution.The work is done as part of the collaboration between Pandit Deendayal Energy University and the Heat Pipe and Thermal Management Research Group at Brunel University London, UK
Three-dimensional reconstruction method for layered structures based on a frequency modulated continuous wave terahertz radar
Get PDFData availability: Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.The feasibility of employing a continuous-wave terahertz detection system for non-contact and non-destructive testing (NDT) in multi-layered bonding structures is assessed in this study. The paper introduces the detection principle of terahertz frequency modulated continuous wave (FMCW) radar and outlines the two-dimensional (2D) scanning platform, which integrates optical lenses, three linear actuators, a control platform, and data acquisition units. Experimental results on two types of insulation with prefabricated defects demonstrate the capability of terahertz waves for transparent inspection imaging. These results confirm the viability of terahertz FMCW detection technology as an advanced NDT tool for multi-layered bonding structures. However, the inherent limitations of terahertz wavelength and hardware systems pose challenges in discriminating reflection peaks on upper and lower surfaces. To address this issue, a local adaptive empirical wavelet coefficient modal decomposition (LAEWCMD) method is proposed to enhance the longitudinal discrimination ability of terahertz detection. The proposed method involves segmenting the 2D terahertz detection image into regions to differentiate between defective and non-defective areas. Continuous wavelet transforms (CWT) are then applied to the range signals of each region to derive continuous wavelet coefficients (CWCs). Subsequently, empirical mode decomposition (EMD) is performed on the CWCs to decompose them into intrinsic mode functions (IMFs) and residual signals. The 1st IMF is utilized for three-dimensional (3D) reconstruction, and the regions are fused to generate the final output. The effectiveness of the proposed method is validated on aircraft thermal protection structures (TPS), achieving high-precision 3D reconstruction. This offers a novel approach for the application of terahertz computed tomography imaging and NDT.National Natural Science Foundation of China (U23A20636); Natural Science Foundation of Shanxi Province (20210302124189, 202203021221118, 202302020101008); Shanxi Returned Scholarship Council (2022-145)
Time-Frequency Hybrid Neuromorphic Computing Architecture Development for Battery State-of-Health Estimation
Get PDFWith the rapid adoption of Internet of things (IoT) and artificial intelligence (AI), lithium-ion battery state-of-health (SOH) estimation plays an important role in guaranteeing the secure and stable functioning of various domains. However, the majority of the existing methods are constrained by factors such as transmission latency, computational energy, and computing speed. To address these challenges, we develop a time-frequency hybrid neuromorphic computing architecture for battery SOH estimation. Specifically, an eco-friendly, biodegradable memristor crossbar array is designed, enabling high energy efficiency and high-performance density in the proposed system. To improve the understanding of the designed time-frequency hybrid neuromorphic computing system, a local information extraction module, a time-frequency feature fusion module, and a global information perception module are proposed. Furthermore, the proposed system is validated on two publicly available battery ageing datasets (i.e., the CALCE-CS2 dataset and the NASA dataset). The experimental results show that the system exhibits superior performance to that of the state-of-the-art (SOTA) methods in terms of estimation accuracy (highest estimation accuracy), time consumption (approximately 8 12 times faster), and transmission latency (approximately 10 times faster). This study is expected to promote the advancement and evolution of next-generation computing systems, enabling the realization of low power consumption and high-density information processing in IoT scenarios.Shuimu Tsinghua Scholar program (Grant Number: 2023SM035);
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62206062);
10.13039/501100002858-China Postdoctoral Science Foundation (Grant Number: 2024M751676 and 2024T170463);
the Postdoctoral Fellowship Program of CPSF (Grant Number: GZB20230356)
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