Why do people feel emotional attachment to events occurring before they were born? This paper examines ad-evoked vicarious nostalgia‐induced longing for a time period that an individual did not live ...through. Vicarious nostalgia impacts brand heritage and leads to stronger brand attachment. Qualitative research (Study 1) and a literature review identify two vicarious nostalgia dimensions—fantasies about past eras and emotions. Initial quantitative research (Study 2) refines these measures, while subsequent quantitative research (Study 3) relates vicarious nostalgia to both antecedents (alienation, fantasy proneness, and nostalgia proneness) and consequences (brand heritage and brand attachment). Self-referencing moderates the relationship between nostalgia proneness and fantasies, while vicarious nostalgia partially mediates the relationship between nostalgia proneness and brand heritage. Both individual propensities (nostalgia proneness) and advertising-evoked vicarious nostalgia enhance or build brand heritage perceptions.
In the context of the current pandemic caused by the novel coronavirus, molecular detection is not limited to the clinical laboratory, but also faces the challenge of the complex and variable ...real-time detection fields. A series of novel coronavirus events were detected in the process of food cold chain packaging and transportation, making the application of molecular diagnosis in food processing, packaging, transportation, and other links urgent. There is an urgent need for a rapid detection technology that can adapt to the diversity and complexity of food safety.
This review introduces a new molecular diagnostic technology-biosensor analysis technology based on CRISPR-Cas12a. Systematic clarification of its development process and detection principles. It summarizes and systematically organizes its applications in viruses, food-borne pathogenic bacteria, small molecule detection, etc. In the past four years, which provides a brand-new and comprehensive solution for food detection. Finally, this article puts forward the challenges and the prospects for food safety.
The novel coronavirus hazards infiltrated every step of the food industry, from processing to packaging to transportation. The biosensor analytical technology based on CRISPR-Cas12a has great potential in the qualitative and quantitative analysis of infectious pathogens. CRISPR-Cas12a can effectively identify the presence of the specific nucleic acid targets and the small changes in sequences, which is particularly important for nucleic acid identification and pathogen detection. In addition, the CRISPR-Cas12a method can be adjusted and reconfigured within days to detect other viruses, providing equipment for nucleic acid diagnostics in the field of food safety. The future work will focus on the development of portable microfluidic devices for multiple detection. Shao et al. employed physical separation methods to separate Cas proteins in different microfluidic channels to achieve multiple detection, and each channel simultaneously detected different targets by adding crRNA with different spacer sequences. Although CRISPR-Cas12a technology has outstanding advantages in detection, there are several technical barriers in the transformation from emerging technologies to practical applications. The newly developed CRISPR-Cas12a-based applications and methods promote the development of numerous diagnostic and detection solutions, and have great potential in medical diagnosis, environmental monitoring, and especially food detection.
CRISPR-Cas12a-based systems for biosensors. Display omitted
•The complexity of the current food safety situation includes viruses, pathogenic bacteria, and small molecule detection. The emergence of CRISPR-Cas12a analysis technology can provide a good solution for it.•The recent advances in CRISPR-Cas12a mediated biosensors and their applications in the detection of viruses, food-borne pathogens, small molecules were reviewed.•The basic principle of CRISPR-Cas12a for analysis technology was illustrated, and these sensors were classified based on different detection principles and targets.•Several representative new detection devices based on CRISPR-Cas12a were presented.•The current problems, challenges and the future development of CRISPR-Cas12a biosensor were summarized and prospected.
Decentralized, distributed storage offers a way to reduce the impact of data silos as often fostered by centralized cloud storage. While the intentions of this trend are not new, the topic gained ...traction due to technological advancements, most notably blockchain networks. As a consequence, we observe that a new generation of peer-to-peer data networks emerges. In this survey paper, we therefore provide a technical overview of the next generation data networks. We use select data networks to introduce general concepts and to emphasize new developments. Specifically, we provide a deeper outline of the Interplanetary File System and a general overview of Swarm, the Hypercore Protocol, SAFE, Storj, and Arweave. We identify common building blocks and provide a qualitative comparison. From the overview, we derive future challenges and research goals concerning data networks.
Severity parameters are critical for safety management and risk assessment of coal dust explosions. We evaluated explosion severity parameters using a 20-L spherical vessel and numerical simulation ...by the program FLUENT to reveal the explosion mechanism of coal dusts. The explosion pressure and the rate of explosion pressure increased with coal dust concentration and the ignition delay up to a concentration of 250g/m3 coal dust and an ignition delay of 60ms for a maximum explosion pressure of 0.67MPa and a rate of explosion pressure rise of 68.89MPa/s. Comparison of the numerical and experimental explosion pressure profiles showed reasonable quantitative and qualitative agreement. Additionally, the numerical simulation was used to address the technical difficulties of understanding the mechanisms of dust explosion, it suggested that the airflow of the dust explosion played a more important role in the secondary explosion of dusts in a closed chamber than in a half-closed one.
Domino effect in coal dust explosion. Display omitted
•The simulation results are in good accordance with the experimental results.•The max airflow velocity increases and appears at the flame front.•The max airflow velocity arrives at the wall is earlier than the max temperature.•The airflow plays a more important role in the secondary explosion of coal dust.•The airflow is the main reason that lifts up dust layer and cause chain explosions.
Universities are key actors at the intersection of science and society and their strategic communication and its effective implementation is essential, as is the measurement and evaluation (M&E) of ...its impact. Despite the growing relevance of M&E in university communication, however, empirical studies on the subject are rare. Therefore, this study explores M&E practices of central communication departments at Swiss universities through semi-structured interviews and document analysis. Findings show that M&E are still in its infancy at most universities. The study identifies resources and skills of communication professionals, digital technologies as well as a culture of learning as the primary factors enabling or constraining M&E. Findings show that the organizational context, notably the (perceived) degree of competition, the availability of personnel resources, and the professionalism of the communication department, rather than the sector of higher education itself, influences M&E practices. In addition to resources, our findings point to an engaged leadership actively supporting a culture of learning and the further development of skills in communication departments as the most important factor for M&E practices.
The term “science practice” has drawn increasing attention in the current science education literature. In this study, the methodology of content analysis was adopted to examine the presentation of ...science practice in 20 historical cases compiled in a popular science book. Three aspects and eight categories of science practice constitute the analytical framework. As a result of the qualitative analysis, 17 meanings (sub-categories) under the eight science practices were found in the book. In the quantitative analysis, it was found that “investigating practices” was more commonly presented than “sense-making practices” and “critiquing practices” and that the most frequent are traditional practices of “planning and carrying out investigations,” “analyzing and interpreting data,” and “asking questions.” The findings are significant in providing implications for understanding the notion of science practice and for the design of educational teaching materials in promoting science practice in schools.
Objective
To better understand how therapists facilitate client goal attainment in therapy, we analyzed therapists’ future‐oriented actions in good outcome cases in which clients recorded high ...ratings on goal items in the Working Alliance Inventory‐Short Revised.
Method
We selected clients who were within the clinical range (OQ‐45.2) at pretreatment, demonstrated reliable change at the end of treatment, and recorded high WAI client goals scores early in treatment. Qualitative analyses of transcripts of the initial three sessions and client posttreatment interviews were integrated into a combined analysis to identify themes across the two separate sets of findings.
Results
Therapist future‐oriented activity included: (1) Picking up explicit and implicit intentions; (2) using linguistic devices, such as meta‐communication, action language, and hedging; (3) using evocative interventions; and (4) nudging the client into practicing change. Core finding: Therapists aligned with clients’ directionality in a forward‐driven, gradually evolving process.
Conclusion
Conceptual and clinical implications are discussed.
•Consolidate the core requirements for intelligent manufacturing models•The opti-state control (OsC) method helps keep the system adjust to the currently achievable optimal operating state when ...uncertainties affect the system•Extend the basic framework of Digital Twin to the DT-based opti-state control framework
The intelligent manufacturing strategy and customer demand have mutually promoted each other. Also, the production mode is shifting towards customized production, and more rental resources or services are introduced to the production system, therefore, the systems are becoming more complex. Compared with traditional production systems, such systems have some new features, this work calls this type of system as a synchronized production operation system (SPOS). Under such circumstances, production systems are influenced by more frequent uncertainties, and the planning-based production decision and control approach is no longer applicable. The opti-state control (OsC) method is proposed to help SPOS keep in an optimal state when uncertainties affect the system. Besides, a digital twin-based control framework (DTCF) is designed for getting the full element information needed for decision making. Based on the comprehensive information of the production system obtained by the DTCF, the OsC method is introduced to the virtual control layer to formulate the optimal target guiding the path of the system in real time through the dynamic matching mechanism (qualitative perspective). Then multi-stage synchronized control with analysis target cascading (ATC) method is used to get the local optimal state decisions (quantitative perspective). From both qualitative and quantitative aspects to ensure the system is under an optimal target path for optimal operation procedure. At last, a case study in a large-size paint making company in China is used to validate the effectiveness of the approach.
Fathers experienced high rates of mental health concerns during the COVID-19 pandemic. Social support is crucial to mitigate these problems; however, access to and quality of support were impacted by ...public health guidelines to increase physical distancing. Online forums offer an avenue for peer connection and support. Yet, minimal research has examined forum use during COVID-19. The objective of the current study was to examine the experiences and support needs of fathers during the pandemic through an exploratory qualitative content analysis of an online social support forum. Posts ( N = 299) and comments ( N = 2597) on Reddit’s sub-forum r/daddit (July and October 2020) were systematically analysed through a Framework Analytic Approach. Findings highlighted five main themes (with subthemes): forum use, family functioning, psychological and health factors, interpersonal functioning, and COVID-19. Findings underscore the critical need for mental health and parenting programs tailored to fathers and informing services to support father and family wellbeing.
Nowadays droplet microfluidics is widely used to perform high throughput assays and for the synthesis of micro- and nanoparticles. These applications usually require packaging several reagents into ...droplets and their mixing to start a biochemical reaction. For rapid mixing microfluidic devices usually require additional functional elements that make their designs more complex. Here we perform a series of 2D numerical simulations, followed by experimental studies, and introduce a novel asymmetric flow-focusing droplet generator, which enhances mixing during droplet formation due to a 2D or 3D asymmetric vortex, located in the droplet formation area of the microfluidic device. Our results suggest that 2D numerical simulations can be used for qualitative analysis of two-phase flows and droplet generation process in quasi-two-dimensional devices, while the relative simplicity of such simulations allows them to be easily applied to fairly complicated microfluidic geometries. Mixing inside droplets formed in the asymmetric generator occurs up to six times faster than in a conventional symmetric one. The best mixing efficiency is achieved in a specific range of droplet volumes, which can be changed by scaling the geometry of the device. Thus, the droplet generator suggested here can significantly simplify designs of microfluidic devices because it enables both the droplet formation and fast mixing of the reagents within droplets. Moreover, it can be used to precisely estimate reaction kinetics.
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