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Research addressing the micro-foundational theoretical entity of customer engagement (CE) has proliferated in recent years. In parallel, the macro-foundational theory of service-dominant (S-D) logic is thriving. While the fit of CE/S-D logic has been recognized, insight into this theoretical interface remains tenuous, as explored in this paper. We develop an integrative, S-D logic–informed framework of CE comprising three CE foundational processes, which are required (for customer resource integration), or conducive (for customer knowledge sharing/learning) CE antecedents. While customer resource integration, in some form, extends to coincide with CE, customer knowledge sharing/learning can also do so. We also identify three CE benefits (customer individual/interpersonal operant resource development, cocreation) as CE consequences, which can also coincide with CE. Deploying the framework, we revise Brodie et al.’s (Journal of Service Research, 14(3), 252–271, 2011) fundamental propositions of CE and apply these to customer relationship management. We conclude with theoretical and managerial implications, followed by future research avenues.

As global temperatures continue to rise, the impact of heatwaves becomes increasingly striking. The increasing frequency and intensity of these events underscore the critical need to understand regional‐scale mechanisms and feedback, exacerbating or mitigating heatwave magnitude. Here, we use an ensemble of convection‐permitting regional climate models (CPRCMs) to elucidate future heatwave changes at fine spatial scales. We explore whether the recently highlighted drier/warmer signal introduced by CPRCMs improves summer temperature extremes representation and if it modulates future heatwave changes compared to convection‐parameterizing regional climate models (RCMs). In historical runs, CPRCMs show a more realistic representation of summer maximum temperature especially on a ground‐station‐based evaluation. CPRCMs project substantially drier conditions than RCMs. This is associated with a modulation of heatwave temperature changes which show diversified spatial patterns, magnitudes, and signs. CPRCMs ensemble shows an overall reduction in heatwave metrics future changes inter‐model spread compared to the RCMs ensemble. Plain Language Summary Heatwaves are progressively having a bigger impact on communities and ecosystems. The growing frequency and intensity of these events highlight the need to understand regional mechanisms and feedback that can either worsen or mitigate increasing heatwave trends. We use an ensemble of very high‐resolution regional climate models (CPRCMs, ∼3 km) to explore changes in heatwaves at fine spatial scales. We investigate if the drier and warmer conditions characterizing CPRCMs improve the accuracy of summer temperature extremes and how they affect future heatwave patterns compared to lower‐resolution regional climate models (RCMs). In historical simulations, CPRCMs provide a more accurate representation of summer maximum temperatures, especially on a station‐based evaluation. CPRCMs predict drier conditions than RCMs. This dryness affects heatwave temperature changes according to varied spatial patterns, magnitudes, and trends. Overall, the CPRCMs ensemble shows less uncertainty in predicted heatwave changes compared to the RCMs ensemble. Key Points CPRCMs improve summer season maximum temperature representation, especially on a ground‐station‐based evaluation CPRCMs amplify heatwave maximum temperature changes over the Alps and the northern GAR, combined with the strongest projected drying CPRCMs ensemble reduces heatwave metrics change signal inter‐model spread except for the dry spell length

Alzheimer’s disease (AD) is a progressive neurodegenerative disease, characterized by senile plaques (SPs) caused by amyloid beta (Aβ) deposition and neurofibrillary tangles (NFTs) of abnormal hyperphosphorylated tau protein. RAGE is a receptor of advanced glycation end-products (AGEs), which are deposited during vascular dysfunction. It may cause AD by binding Aβ and releasing reactive oxygen species (ROS), which further exacerbates Aβ deposition and eventually leads to SPs and NFTs. As it is involved in early AD, RAGE has the potential to be a more potent biomarker compared to Aβ. While positron emission tomography (PET) provides a way to detect valuable information about the underlying pathological processes many years before the appearance of clinical symptoms, a tracer that targets RAGE is needed to further reveal the role of RAGE in AD pathology and for the early diagnosis of AD. In this review, we have introduced a RAGE-targeting probe called [18F]-FPS-ZM1. With probes targeting Aβ and tau protein, the role of [18F]-FPS-ZM1 in exploring the pathogenesis of RAGE in AD was verified. Due to its high specificity and affinity for RAGE, [18F]-FPS-ZM1 is believed to provide accurate and reliable in vivo data for studying local or whole brain pathological changes. Thus, [18F]-FPS-ZM1 could greatly promote the early diagnosis and evaluation of AD and provide a way to reflect the early pathological mechanism of AD.

Providing reliable information on climate change at local scale remains a challenge of first importance for impact studies and policymakers. Here, we propose a novel hybrid downscaling method combining the strengths of both empirical statistical downscaling methods and Regional Climate Models (RCMs). In the longer term, the final aim of this tool is to enlarge the high-resolution RCM simulation ensembles at low cost to explore better the various sources of projection uncertainty at local scale. Using a neural network, we build a statistical RCM-emulator by estimating the downscaling function included in the RCM. This framework allows us to learn the relationship between large-scale predictors and a local surface variable of interest over the RCM domain in present and future climate. The RCM-emulator developed in this study is trained to produce daily maps of the near-surface temperature at the RCM resolution (12 km). The emulator demonstrates an excellent ability to reproduce the complex spatial structure and daily variability simulated by the RCM, particularly how the RCM refines the low-resolution climate patterns. Training in future climate appears to be a key feature of our emulator. Moreover, there is a substantial computational benefit of running the emulator rather than the RCM, since training the emulator takes about 2 h on GPU, and the prediction takes less than a minute. However, further work is needed to improve the reproduction of some temperature extremes, the climate change intensity and extend the proposed methodology to different regions, GCMs, RCMs, and variables of interest.

Drones are increasing in popularity and are reaching the public faster than ever before. Consequently, the chances of a drone being misused are multiplying. Automated drone detection is necessary to prevent unauthorized and unwanted drone interventions. In this research, we designed an automated drone detection system using YOLOv4. The model was trained using drone and bird datasets. We then evaluated the trained YOLOv4 model on the testing dataset, using mean average precision (mAP), frames per second (FPS), precision, recall, and F1-score as evaluation parameters. We next collected our own two types of drone videos, performed drone detections, and calculated the FPS to identify the speed of detection at three altitudes. Our methodology showed better performance than what has been found in previous similar studies, achieving a mAP of 74.36%, precision of 0.95, recall of 0.68, and F1-score of 0.79. For video detection, we achieved an FPS of 20.5 on the DJI Phantom III and an FPS of 19.0 on the DJI Mavic Pro.

As an anti-tumor drug widely used in the clinic, cisplatin is limited by its ototoxic side effects associated with various factors, including inflammatory responses. Receptor for Advanced Glycation Endproducts (RAGE) recognizes damage-associated molecular patterns (DAMPs) and promotes stress and inflammation. This study intended to determine the potential behavior of the HMGB1/RAGE axis after cisplatin injury and whether it has a protective effect after inhibiting this pathway. We used FPS-ZM1, a RAGE inhibitor, to modulate the axis of HMGB1/RAGE in neonatal mouse cochlear explants and C57BL/6 mice . Apoptosis was identified by Annexin V-FITC/PI assay, Cleaved Caspase-3, and TUNEL staining. Reactive oxygen species (ROS) level was assessed by MitoSOX Red and CellROX Green assay. The expression of proteins associated with the HMGB1/RAGE axis and apoptosis was observed by western blotting. The expression of inflammatory cytokines was evaluated by qPCR. The protective effect of HMGB1/RAGE knockdown was also assessed on cisplatin-induced ototoxicity. These results demonstrated that cisplatin could activate the HMGB1/RAGE pathway in cochlear hair cells and release inflammatory factors. Pretreatment with FPS-ZM1 alleviated cisplatin-induced ototoxicity and . Knocking down HMGB1 and RAGE achieved specific protective effects. Altogether, inhibiting HMGB1/RAGE axis can reverse the increase of ROS accumulation, the activation of apoptosis, and the production of inflammatory reactions after cisplatin injury. FPS-ZM1 could resist the ototoxicity of cisplatin by suppressing the HMGB1/RAGE signal pathway, and it may be considered the new otoprotective potential strategy for hearing loss.

Purpose To explore how inclusive banking services are marketed to financially vulnerable consumers (FVCs) in Ghana from the perspective of managers. This study aims to explore this under-researched area and contribute towards a transformative service research in the country. Design/methodology/approach This study adopted a multiple case study research approach to analyse six banks, including commercial, development, investment and rural and community banks. Specifically, semi-structured interviews and archival documents were used to collect data from the perspectives of bank managers. Findings The empirical research based on practical and theoretical models shows that Ghanaian banks design an array of financial products and services (FPS), adopt innovative traditional marketing strategies and apply inclusive technologies to reach out to the FVCs. Research limitations/implications The authors conducted this study on six banks in Ghana; thus, service researchers are cautioned when generalising the findings and conclusions in other contexts beyond the country of focus. Practical implications This study offers practical ideas to guide marketers to better understand how banks market their inclusive banking services to FVCs. Social implications This paper provides implications for addressing financial inclusion amongst the “unbanked”, “underserved” and “unserved” collectively known as the FVCs and how Ghanaian banks design FPS to improve service research and well-being outcomes. Originality/value This study provides vital information to policymakers in designing FPS aimed at achieving an inclusive financial system to improve the well-being of FVCs in Ghana.

Optimal functioning of a plant cell depends upon the efficient exchange of genetic information, ions, proteins and metabolites between the different organelles. Intuitively, increased proximity between organelles would be expected to play an important role in facilitating exchanges between them. However, it remains to be seen whether under normal, relatively non-stressed conditions organelles maintain close proximity at all. Moreover, does interactivity involve direct and frequent physical contact between the different organelles? Further, many organelles transition between spherical and tubular forms or sporadically produce thin tubular extensions, but it remains unclear whether changes in organelle morphology play a role in increasing their interactivity. Here, using targeted multicolored fluorescent fusion proteins, we report observations on the spatiotemporal relationship between plastids, mitochondria, peroxisomes and the endoplasmic reticulum in living plant cells. Under normal conditions of growth, we observe that the smaller organelles do not establish direct, physical contacts with each other but, irrespective of their individual form they all maintain intimate connectivity with the ER. Proximity between organelles does increase in response to stress through concomitant alterations in ER dynamics. Significantly, even under increased proximity the ER still remains sandwiched between the different organelles. Our observations provide strong live-imaging-based evidence for the ER acting as a common mediator in interactions between other organelles.

Numerous studies have been carried out in recent years on the use of virtual reality (VR) technologies and environments in education. On the other hand, many researchers have drawn attention to the inadequacy of studies that deal with the education process in virtual reality environments from a broad perspective. In this research, the process of designing, developing, and testing an educational virtual reality environment in the light of a design model that includes pedagogical, design, and technical steps have been experienced and reported with a holistic perspective. The study was carried out in a two meso cycle structure based on the educational design research methodology. In the scope of research, the educational virtual reality campus platform has been developed to provide a skill-based educational environment for learners. The Internet of Things training process in the platform was held in a single session with each participant. At the end of the practices, it has been seen that the training carried out on the platform can provide learning at both cognitive and skill levels; the knowledge learned in the virtual reality environment can be transferred to real life and has a lasting effect. Furthermore, it was determined that there was a reverse relationship between the participants’ sense of presence and their cognitive load, and there was a positive relationship between the participants’ sense of presence and their pleasure and arousal levels. It has been concluded that technical data such as frames per second, latency, draw call, and polygon count provided by the platform can have a remarkable effect on the VR experience.

Vixotrigine (BIIB074) is a voltage- and use-dependent sodium channel blocker. These studies will evaluate the efficacy and safety of vixotrigine in treating pain experienced by patients with trigeminal neuralgia (TN) using enriched enrollment randomized withdrawal trial designs. Two double-blind randomized withdrawal studies are planned to evaluate the efficacy and safety of vixotrigine compared with placebo in participants with TN (NCT03070132 and NCT03637387). Participant criteria include ≥18 years old who have classical, purely paroxysmal TN diagnosed ≥3 months prior to study entry, who experience ≥3 paroxysms of pain/day. The two studies will include a screening period, 7-day run-in period, a 4- or 6-week single-dose-blind dose-optimization period (Study 1) or 4-week open-label period (Study 2), and 14-week double-blind period. Participants will receive vixotrigine 150 mg orally three times daily in the dose-optimization and open-label periods. The primary endpoint of both studies is the proportion of participants classified as responders at Week 12 of the double-blind period. Secondary endpoints include safety measures, quality of life, and evaluation of vixotrigine population pharmacokinetics. There is a need for an effective, well-tolerated, noninvasive treatment for the neuropathic pain associated with TN. The proposed studies will evaluate the efficacy and safety of vixotrigine in treating pain experienced by patients with TN.