Search Results (10)

This study investigates how the Camino de Santiago pilgrimage influences personal value systems and self-actualization in the context of late modernity, where individualism and instrumental rationality often constrain moral and communal development. Drawing on Schwartz’s value theory and Kaufman’s scale of self-actualization, we conducted an online survey of 500 pilgrims to examine self-reported value changes following the pilgrimage. Factor analyses tested whether these changes aligned with theoretical value structures and how they related to self-actualization. The findings suggest that pilgrimage fosters a shift from self-enhancement toward self-transcendence, with self-direction aligning more closely with universalism and benevolence—indicating a socially oriented form of autonomy. Increases in self-actualization correlate positively with self-transcendence values (universalism and benevolence), self-direction, and conservation values (tradition, conformity, and security) while showing negative associations with power and achievement. The pilgrimage experience appears to realign values toward altruism, moral engagement, and sustainability. By integrating personal growth with ethical and communal orientations, the Camino de Santiago emerges as a meaningful context for multidimensional repair. In this way, the pilgrimage can be understood as a journey of repair—mending value hierarchies fractured by late modern life and restoring a sense of belonging, care, and transcendent purpose. Full article

While sustainable design practice is working to reduce the ecological impacts of development, many of the earth’s already damaged life support systems require repair and regeneration. Regenerative design theory embraces this challenge using an ecological worldview that recognizes all life as intertwined and interdependent to deliver restorative outcomes that heal. Central to regenerative design theory is the mutually beneficial and coevolving ‘stewardship’ relationship between community and place, the success of which requires local ecological knowledge. However, there is a lack of understanding about how—within the design process—practitioners are integrating ‘innate knowledge’ of place held by local people. This rapid practice review sought to collate and evaluate current ‘regenerative design practice’ methods towards ensuring good practice in the integration of place-based ecological knowledge. A comprehensive online search retrieved 345 related articles from the grey literature, academic book chapters, and government reports, from which 83 articles were analyzed. The authors conclude that regenerative design practice is emergent, with the design practice of including community knowledge of ecological systems of place remaining ad hoc, highly variable, and champion-based. The findings have immediate implications for regenerative design practitioners, researchers, and developers, documenting the state of progress in methods that explore innate ecological knowledge and foster co-evolving ecological stewardship. Full article

Repair is recognized as an important part of the circular economy and leads to fewer resources being used, less waste, and less emissions generation. The crucial condition for scaling repairs is people’s perception of repairs as a significant social practice harmonizing the relationship between society and nature. This paper aims to analyze the key discourses of repair in the content of the posts of the biggest Russian online communities and to identify environmental discourse. These communities specialize in the repair of household appliances, IT, and telecommunications equipment and are organized by independent repairers. We collected all of the posts from the communities that contain textual information in the body of the post. Based on the analysis of the results of the theoretical discourses of repair, we identified four types of repair discourses: environmental, pedagogical, social, and the discourse of the right to repair. We formed lists of keywords corresponding to each discourse type and analyzed posts by computer processing. We concluded that the practice of repair is widespread in specialized online communities, but the content of these communities includes almost no mention of environmental discourse. Social and pedagogical discourses prevail. Based on our research results, we suggested some recommendations for greening and spreading repair. Full article

Scientific debates on agroecology highlight the relevance of appropriate narratives as a means to widen and amplify agroecological transitions in the material world. However, it is actually far-right discourses—often linked to populist political proposals—which, though not majoritarian, are reaching broad and growing diffusion among both rural communities and farmers. Research focusing on the symbolic mechanisms around food systems’ transitions are scarce. In order to address this gap, an exploratory research project was developed to identify responses to different messages and audiovisual languages favorable to agroecological transitions, through the dissemination of three brief audiovisual pieces among specific socio-professional profiles linked to food systems, together with an online survey. The results obtained (n = 524) show significant differences in the responses to open questions collected, regarding socio-economic diversity expressed in the axes male/female, urban/rural, farmer/not farmer and organic/conventional farming. Responses from conventional farmers express a need for developing a “politics of recognition” and repair that would acknowledge the unfair, subordinated role that farmers and rural communities feel in the current globalized food system. The paper shows the need for further empirical research on the issue, covering different territories and socio-economic and cultural profiles, in order to fully understand the symbolic mechanisms underlying material, agroecological transitions. Full article

Background and Objective: Translational large animal models are inevitable to transfer cartilage repair methods into clinical practice. Guidelines for these trials have been published by guiding agencies (FDA, ASTM, EMEA) including recommendations for study descriptors and study outcomes. However, practical adherence to these recommendations is not achieved in all aspects. This study includes an assessment of the recommended aspects regarding practical relevance in large animal models for cartilage repair by professionals in the field. Materials and Methods: In an online based survey, 11 aspects regarding study design and 13 aspects regarding study outcome from previously published guidelines were evaluated (0–10 points, with 10 being most important) by study participants. Additionally, the survey contained questions related to professional experience (years), professional focus (preclinical, clinical, veterinarian, industry) and the preferred translational large animal model for cartilage repair. Results: The total number of survey participants was 37. Rated as most important for study design parameters was lesion size (9.54 pts., SD 0.80) followed by study duration (9.43 pts., SD 1.21); and method of scaffold fixation (9.08 pts., SD 1.30) as well as depth of the lesion (9.03 pts., SD 1.77). The most important aspects of study outcome were considered histology (9.41 pts., SD 0.86) and defect filling (8.97 pts., SD 1.21), while gene expression was judged as the least important (6.11 pts., SD 2.46) outcome. A total of 62.2% of all participants were researchers, 18.9% clinicians, 13.5% veterinarians and 5.4% industry employees. Conclusions: In translational research, recommendations published by guiding agencies receive broad theoretical consensus within the community, including both clinically and preclinically orientated scientists. However, implementation into practical research lacks in major aspects. Ongoing re-evaluation of the guidelines under involvement of all stakeholders and approaches to overcome financial and infrastructural limitations could support the acceptance of the guidance documents and contribute to standardization in the field. Full article

Orthodontic treatment has popularized in Taiwan. Healthcare institutions can be responsive in their coping strategies and determine whether third-party intervention should take place involving medical disputes related to orthodontics in order to repair patient trust. This study draws on orthodontic treatment to explore the effect of various trust repair strategies employed by healthcare institutions and third-party involvement positively affecting outcomes related to trust repair. Patients were recruited among those who have undergone orthodontic treatments, and 353 valid scenario-based questionnaires were collected through an online survey. Results revealed that: (1) the affective and informational repair strategies positively impacted trust repair while the functional repair strategy did not; (2) trust repair positively impacted patient satisfaction/word-of-mouth and mediated between repair strategies and satisfaction/word-of-mouth; and (3) third-party involvement moderated the relationship between trust repair and word-of-mouth. The findings suggest that rather than receiving monetary compensation, patients usually prefer that healthcare institutions acknowledge their fault, offer apologies, and engage in active communications to clarify the causes of medical dispute. Further, an objective third party should be involved to mediate the medical disputes to afford satisfaction all around. Full article

This paper presents a new universal programmable portable measuring device (PMD) as a complete, accurate, and efficient solution for monitoring and technical diagnostics of industrial fluid power systems. PMD has programmable functions designed for recording, processing, and graphical visualization of measurement results at the test stand or the place of operation of fluid power systems. PMD has a built-in WiFi communication module for transferring measurement data via Industrial Internet of Things (IIoT) technology for online remote monitoring of fluid power systems. PMD can be programmed for a variety of measuring tasks in servicing, repairing, diagnosing, and monitoring fluid power systems. For this purpose, the fluid dynamic quantity, mechanical quantity, and electrical quantity can be measured. The adjustment of the PMD to the indirect measurement of leakage flow rate in a compressed air system (CAS) is presented in detail. Measuring instruments and PMDs were connected to a branch of the pipeline. The tests used the measurement system to estimate the leakage flow rate through air small nozzles, as well as other CAS indicators. Full article

The objective of the project was to encourage health promotion through education, outreach, and community-based training. The people attending health fairs (n = 467), community events (n = 469), and Kindergarten classes (n = 241) were the study participants. Hands-on training was offered at homebuilding retail stores (n = 25). U.S. Department of Housing and Urban Development (HUD)’s online visual training was given to realtors (n = 220), and inspectors, contractors, and Do-It-Yourself (DIY) workers (n = 75). Training workshops were attended by home-buyers and rental home owners at the Neighborhood Association Meetings (n = 91). The impact of training was evaluated by pre- and posttests. Nearly, 90% of the participants (n = 25) reported the hands-on training was useful. At posttest after the HUD online training, 59.4%, 67.9%, 65.1% of the participants (n = 220) identified soil, car batteries, and paint as sources of lead in the environment, respectively. Nearly 70% identified lead as a poison in the environment while 77.5% and 47.2% demonstrated two behaviors which help prevent lead poisoning. A total of 62.3%, 48.1%, and 58.5%, at posttest identified three complications or illnesses—behavioral, physical, and psychological, respectively. The home owners are required to get permission from the City for housing repair. In coordination with the federally funded housing repair or lead abatement programs, the trained inspectors are authorized to certify the renovation or repair works. These outreach activities were successful in improving the knowledge of the community people on lead poisoning prevention. Full article

Most of the prior-art electrical noninvasive monitoring systems adopt Zigbee, Bluetooth, or other wireless communication infrastructure. These low-cost channels are often interrupted by strong electromagnetic interference and result in monitoring anomalies, particularly packet loss, which severely affects the precision of equipment fault identification. In this paper, an iterative online fault identification framework for a high-voltage circuit breaker utilizing a novel lost data repair technique is developed to adapt to low-data quality conditions. Specifically, the improved efficient k-nearest neighbor (kNN) algorithm enabled by a k-dimensional (K-D) tree is utilized to select the reference templates for the unintegrated samples. An extreme learning machine (ELM) is utilized to estimate the missing data based on the selected nearest neighbors. The Softmax classifier is exploited to calculate the probability of the repaired sample being classified to each of the preset status classes. Loop iterations are implemented where the nearest neighbors are updated until their labels are consistent with the estimated labels of the repaired sample based on them. Numerical results obtained from a realistic high-voltage circuit breaker (HVCB) condition monitoring dataset illustrate that the proposed scheme can efficiently identify the operation status of HVCBs by considering measurement anomalies. Full article

The oil and gas industry faces increasing pressure to remove people from dangerous offshore environments. Robots present a cost-effective and safe method for inspection, repair, and maintenance of topside and marine offshore infrastructure. In this work, we introduce a new multi-sensing platform, the Limpet, which is designed to be low-cost and highly manufacturable, and thus can be deployed in huge collectives for monitoring offshore platforms. The Limpet can be considered an instrument, where in abstract terms, an instrument is a device that transforms a physical variable of interest (measurand) into a form that is suitable for recording (measurement). The Limpet is designed to be part of the ORCA (Offshore Robotics for Certification of Assets) Hub System, which consists of the offshore assets and all the robots (Underwater Autonomous Vehicles, drones, mobile legged robots etc.) interacting with them. The Limpet comprises the sensing aspect of the ORCA Hub System. We integrated the Limpet with Robot Operating System (ROS), which allows it to interact with other robots in the ORCA Hub System. In this work, we demonstrate how the Limpet can be used to achieve real-time condition monitoring for offshore structures, by combining remote sensing with signal-processing techniques. We show an example of this approach for monitoring offshore wind turbines, by designing an experimental setup to mimic a wind turbine using a stepper motor and custom-designed acrylic fan blades. We use the distance sensor, which is a Time-of-Flight sensor, to achieve the monitoring process. We use two different approaches for the condition monitoring process: offline and online classification. We tested the offline classification approach using two different communication techniques: serial and Wi-Fi. We performed the online classification approach using two different communication techniques: LoRa and optical. We train our classifier offline and transfer its parameters to the Limpet for online classification. We simulated and classified four different faults in the operation of wind turbines. We tailored a data processing procedure for the gathered data and trained the Limpet to distinguish among each of the functioning states. The results show successful classification using the online approach, where the processing and analysis of the data is done on-board by the microcontroller. By using online classification, we reduce the information density of our transmissions, which allows us to substitute short-range high-bandwidth communication systems with low-bandwidth long-range communication systems. This work shines light on how robots can perform on-board signal processing and analysis to gain multi-functional sensing capabilities, improve their communication requirements, and monitor the structural health of equipment. Full article