Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a patient-oriented Hololens application to illustrate the function of medication after myocardial infarction

Abstract Aims Statin treatment is one of the hallmarks of secondary prevention after myocardial infarction. Adherence to statins tends to be difficult and can be improved by patient education. Novel technologies such as mixed reality (MR) expand the possibilities to support this process. To assess if an MR medication-application supports patient education focused on function of statins after myocardial infarction. Methods and results A human-centred design-approach was used to develop an MR statin tool for Microsoft HoloLens™. Twenty-two myocardial infarction patients were enrolled; 12 tested the application, 10 patients were controls. Clinical, demographic, and qualitative data were obtained. All patients performed a test on statin knowledge. To test if patients with a higher tendency to become involved in virtual environments affected test outcome in the intervention group, validated Presence- and Immersive Tendency Questionnaires (PQ and ITQ) were used. Twenty-two myocardial infarction patients (ST-elevation myocardial infarction, 18/22, 82%) completed the study. Ten out of 12 (83%) patients in the intervention group improved their statin knowledge by using the MR application (median 8 points, IQR 8). Test improvement was mainly the result of increased understanding of statin mechanisms in the body and secondary preventive effects. A high tendency to get involved and focused in virtual environments was moderately positive correlated with better test improvement (r = 0.57, P < 0.05). The median post-test score in the control group was poor (median 6 points, IQR 4). Conclusions An MR statin education application can be applied effectively in myocardial infarction patients to explain statin function and importance.
A question of quality: perceptions of internal communication during the Covid-19 pandemic in Germany

Purpose The purpose of this paper is to explore employees' perceptions of the quality of internal communication in German organizations during the Covid-19 pandemic. In this context, the paper aims to identify antecedents and outcomes of high-quality internal communication during the pandemic. In doing so, it draws important practical and theoretical implications for pandemic-era communication, particularly surrounding issues such as employees' needs and strategic approaches to communication during the pandemic, as well as the effects of successful internal (crisis) communication. Design/methodology/approach A representative survey was conducted on employees (n = 934) working at different types of organizations in Germany. After a dimensionality check was conducted through confirmatory factor analysis (CFA), the proposed hypotheses were tested by conducting a structural equation model (SEM) using the R package lavaan. Findings This study identifies several antecedents of high-quality internal communication during the Covid-19 crisis, such as the frequency of communication at the beginning and during the pandemic, the dissemination of substantial information, participative communication and a clear rejection of secrecy. Furthermore, the findings show that high-quality internal communication has a positive impact on the employee-organization relationship (EOR). Originality/value This study suggests that strategic alignment of internal communications during the Covid-19 pandemic is crucial: by considering a number of factors, organizations can positively influence employees' perceptions of the quality of their internal communication. In terms of theoretical implications, this study discusses how the concept of high-quality internal communication can be operationalized and explores the outcomes that this can generate.
How we work: reflecting on ten years of inclusive research

Abstract Inclusive research has gained momentum internationally. However important critiques of this approach query whether inclusive research reinforces perceptions of deficit and contribute to exclusionary practices. This paper presents a reflection on the practices within an inclusive research group over the past decade, with a focus on decision making and support. The authors used thematic analysis to critically review minutes, workshop presentations and research reports. The findings indicate a shift in how the group works together; moving away from being guided by university supporters in the early years towards increased participation in decision making and ownership of the group’s agenda by self-advocates over time although balanced collaboration across all members continues to be challenging. The article explains how the inclusive approach used by the group enabled self-advocates to not only conduct research, but to also critically review their own work. Points of interest Research done together with people with learning disabilities, inclusive research, has become known worldwide. Some people wonder if teams that say they are inclusive are not really treating people as equal partners. Our group wanted to reply to these key issues as we think about how we work together. To do this, we looked at our meeting notes and agendas, reports, and training presentations over the past ten years. We looked at how we make decisions and the support we get. The group found that self-advocates and supporters now work as full partners. University supporters made decisions before. Now self-advocates decide the research topics, methods, and the report. In this article we explain how we work together and also what we think about the work we do. Even though we are happy with the way we work, we still struggle with how much work we all do.
Soft female leadership (SFL) framework for driving the gender equality change in engineering education: learning outcomes of leader and leadership development

The foundation of gender equality was built some decades ago, but higher education institutions are far from achieving it. Perhaps the leadership needs to integrate new narratives for a greater commitment especially, in engineering and new tools for the existing toolbox. This study aims to share the outcomes of soft female leadership (SFL) development for gender equality at the RMEI network, entailing the commitment of top-managers from engineering schools, creation of new leaders to lead the change at their institutions, students acting as change-agents, and an active community of practice. The SFL toolbox comprises self-awareness, humanistic care, intuition, creativity, and trust. The transformation of mindset, skillset, and culture entails using Sustainable Development Goals (SDGs), ‘Systemic View of Life’ arguments, and drawing knowledge from organizational learning frameworks, scientific phenomena, and mechanisms, such as a) The 4I-Intuiting-Interpreting-Integrating-Institutionalizing organizational learning process starting from intuition to achieve an institutional change; b) The ‘Stigmergy’ scientific mechanism of self-organized collective schemes with coordinated actions and interactions, in which the action performed by an agent leaves a trace in the environment that stimulates subsequent actions; c) The ‘Spillover’ phenomenon advocating that the behavior of an agent can bring the adoption of related behaviors by other agents. RMEI gender equality plan was evaluated by the HORIZON2020 TARGET project consortium. The SFL excelled as successful in setting goals, articulating a policy that integrates systems approach frameworks, insights from science and technology, innovation, ecology, philosophy, self-awareness, ethics, and values. The Covid-19 pandemic disrupted physical meetings, but the process of change was not ceased at the network because we disrupted the disruption by boosting collaborative knowledge consolidation and dissemination processes. The SFL framework integrates context, regional, and temporal characteristics, alongside cognitive, affective, and motivational outcomes over behavioral outcomes, new mindsets beyond organizational skills, and collaborative learning over individual learning.
Bricolage in labor organizing practices: Spanish and Italian migrant activists in Berlin

This article analyzes how Southern European workers create bricolage by combining creatively organized practices of collective action, such as those of conventional labor unions, with self-created practices when facing oppressive labor relations and widespread downgrading of social mobility. We compare two cases of networks formed by Spanish and Italian migrant workers in Berlin: the Grupo de Acción Sindical and Berlin Migrant Strikers. Drawing on an ethnographic study of these groups, the article argues that the networks have different logics of action and political strategies. Their dissimilarities are manifested in different outcomes and organizational dimensions. Key factors include their founding members' social and activist backgrounds and leaders' countries of origin. It can be argued that, through these networks, migrants produce and reproduce political practices and collective actions, shaping a transnational social space that connects migrants and non-migrant individuals and organizations from both origin and destination countries.
Solution-Controlled Self-Assembly of ZnO Nanorods into Hollow Microspheres

A novel solution-controlled self-assembly process has been developed to fabricate nanorod assembled ZnO hollow spheres without adding any structure-directing agents and templates, and as-prepared hollow samples with size about 5 mu m are constructed by the radially oriented single-crystalline nanorods with length and diameter of about 1.5 mu n and 80 nm, respectively. The investigation on the evolution formation reveals that water was critical to control the assembly of the fresh formed nanocrystallites, and hollowing formation was proved to be the Ostwald ripening process by tracking the structures of the products at different reaction stages. Scanning electron microscopy, X-ray diffraction, transmission electron microscopy, and high-resolution transmission electron microscopy were used to characterize the structure of synthesized products, and gas-sensing properties investigation shows that the nanorod-assembled hollow spheres exhibit high gas response to formaldehyde at the optimum working temperature of 400 degrees C.
Study on Multiple Input Asymmetric Boost Converters with Simultaneous and Sequential Triggering

Paralleled boost asymmetric configurations operating in discontinuous conduction mode (DCM) are suitable for integrating dissimilar green energy generating sources and control algorithms in versatile scenarios where voltage step-up, low cost, stable operation, low output ripple, uncomplicated design, and acceptable efficiency are needed. Unfortunately, research has mainly been conducted on the buck, sepic, switched-capacitor, among other asymmetric configurations operating in continuous conduction mode (CCM), to the authors’ knowledge. For asymmetric boost type topologies, achieving simultaneous CCM is not a trivial task, and other problems such as circulating currents arise. Research for interleaved converters cannot be easily extended to asymmetric boost topologies due to the dissimilarity of control algorithms and types of sources and parallel stages. This paper analytically establishes properties of stability, output ripple, output voltage, and design for asymmetrical paralleled boost converters operating in DCM with simultaneous or phase delayed (sequential) triggering. A 300 W experimental design and the respective tests allow validation of such properties, resulting in an easy-to-implement configuration with acceptable efficiency.
Optimal Design of Novel Blade Profile for Savonius Wind Turbines

Since the affirming of global warming, most wind energy projects have focused on the large-scale Horizontal Axis Wind Turbines (HAWTs). In recent years, the fast-growing wind energy sector and the demand for smarter grids have led to the use of Vertical Axis Wind Turbines (VAWTs) for decentralized energy generation systems, both in urban and remote rural areas. The goals of this study are to improve the Savonius-type VAWT’s efficiency and oscillation. The main concept is to redesign a Novel Blade profile using the Taguchi Robust Design Method and the ANSYS-Fluent simulation package. The convex contour of the blade faces against the wind, creating sufficient lift force and minimizing drag force; the concave contour faces up to the wind, improving or maintaining the drag force. The result is that the Novel Blade improves blade performance by 65% over the Savonius type at the best angular position. In addition, it decreases the oscillation and noise accordingly. This study achieved its two goals.
Public beliefs on the relationship between lying and memory

ABSTRACT In two studies, we surveyed the beliefs of undergraduate students (Study 1) and the general public (Study 2) about deceptive behavior, memory functioning, and the effects of lying on memory. We compared participants’ beliefs with the current memory and deception literature. Overall, participants in both studies believed that different types of lies (i.e. false denials, feigning amnesia, fabrication) would elicit different memory impairing effects, although they did not know what specific kind of memory impairment (e.g. forgetting, false memory). In line with previous experimental studies, participants experienced difficulties in retrieving memories after falsely denying or feigning amnesia. Moreover, participants believed that lying would impact other people’s memory such as that people would start to believe in their own lies. Meanwhile, they also indicated that these effects would be minimal for themselves. Interestingly, our results showed that false denials are used quite frequently in daily life. Finally, we found that undergraduate students’ beliefs about memory were in line with scientific evidence, while the general public continues to have erroneous beliefs about memory. When the general public plays a role in the courtroom (e.g. jury members), we recommend involving memory experts in the assessment of reliability of statements when lying was involved.
QUALIDADE DA BERINJELA IRRIGADA COM ÁGUAS SALOBRAS VIA GOTEJAMENTO CONTÍNUO E POR PULSOS

1 Mestrando em Engenharia Agrícola da Universidade Federal do Recôncavo da Bahia, Rui Barbosa, 710, Centro, 45330-000, Cruz das Almas, Bahia, Brasil. E-mail: lucas_farias13@hotmail.com 2 Engenheira Agrônoma, Universidade Federal do Recôncavo da Bahia, Rui Barbosa, 710, Centro, 45330-000, Cruz das Almas, Bahia, Brasil. E-mail: louiserosamonte@gmail.com 3 Professor Visitante da Universidade Federal do Recôncavo da Bahia, Rui Barbosa, 710, Centro, 45330-000, Cruz das Almas, Bahia, Brasil. E-mail: hgheyi@gmail.com. 4 Pós-Doutoranda no Programa de Pós-graduação de Engenharia Agrícola da Universidade Federal do Recôncavo da Bahia, Rui Barbosa, 710, Centro, 45330-000, Cruz das Almas, Bahia, Brasil. E-mail: alidewatanabe@yahoo.com. br 5 Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Aprígio Veloso, 882, Universitário, 58428-830, Campina Grande, Paraíba, Brasil. E-mail:geovani.soares@pq.cnpq. br 6 Estudante de Agronomia da Universidade Federal do Recôncavo da Bahia, Rui Barbosa, 710, Centro, 45330000, Cruz das Almas, Bahia, Brasil. E-mail: lara_marques8@hotmail.com
A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images

Abstract This paper investigates the deep neural networks for rapid and accurate detection of building rooftops in aerial orthoimages. The networks were trained using the manually labeled rooftop vector data digitized on aerial orthoimagery covering the Kitchener-Waterloo area. The performance of the three deep learning methods, U-Net, Fully Convolutional Network (FCN), and Deeplabv3+ were compared by training, validation, and testing sets in the dataset. Our results demonstrated that DeepLabv3+ achieved 63.8% in Intersection over Union (IoU), 77.8% in mean IoU (mIoU), 74% in precision, and 78% in F1-score. After improving the performance with focal loss, training loss was greatly cut down and the convergence rate experienced a significant growth. Meanwhile, rooftop detection also achieved higher performance, as Deeplabv3+ reached 93.6% in average pixel accuracy, with 65.4% in IoU, 79.0% in mIoU, 77.6% in precision, and 79.1% in F1-score. Lastly, in order to evaluate the effects of data volume, by changing data volume from 100% to 75% and 50% in ablation study, it shows that when data volume decreased, the performance of extraction also got worse, with IoU, mIoU, precision, and F1-score also mostly decreased.
Designing Improvisation in Privacy Protection for Personalized Web Search using deep learning approach

Abstract—Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. However, evidences show that users’ reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS. We study privacy protection in PWS applications that model user preferences as hierarchical user profiles. We propose a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user- specified privacy requirements. Our runtime generalization aims at striking a balance between two predictive metrics that evaluate the utility of personalization and the privacy risk of exposing the generalized profile. We present two greedy algorithms, namely GreedyDP and GreedyIL, for runtime generalization. We also provide an online prediction mechanism for deciding whether personalizing a query is beneficial. Extensive experiments demonstrate the effectiveness of our framework. The experimental results also reveal that GreedyIL significantly outperforms GreedyDP in terms of efficiency. Index Terms—Privacy protection, personalized web search, utility, risk, profile
Growth mechanism and kinetics of vertically aligned carbon nanotube arrays

Carbon nanotubes (CNTs) exhibit excellent mechanical, electrical, thermal, and chemical properties and show promising application potentials in numerous fields. Among different types of CNTs, vertically aligned CNT arrays (VACNTs) exhibit more superiors due to their good alignment, controllable structures and morphologies, and easy mass-production, and so forth. During the past years, extensive efforts were put into the controlled synthesis of VACNTs with desired structures and morphologies. Among these efforts, it should be noted that, it is of significant importance to improve the array lengths of VACNTs, especially for the fabrication of VACNTs-based fibers, transparent flexible films, and other functional materials, and so forth. However, it still remains a big challenge to synthesize VACNTs with length over centimeters. In this review, we summarize the growth mechanism, kinetics, growth factors of VACNTs, and the strategies for how to improve their array lengths. Finally, we also propose our outlook on the future development of VACNTs.
mTORC2 is the Primary Target for Simvastatin-Associated Toxicity in C2C12 Cells and in Mouse Skeletal Muscle

Statins decrease the serum LDL-cholesterol concentration and reduce the risk for cardiovascular diseases but can cause myopathy, which may be related to mTORC inhibition. In the current study, we investigated which mTORC is inhibited by simvastatin and by which mechanisms. In C2C12 myoblasts and myotubes and mouse gastrocnemius, simvastatin was cytotoxic and inhibited S6rp and Akt Ser473 phosphorylation, indicating inhibition of mTORC1 and mTORC2, respectively. In contrast to simvastatin, the mTORC1 inhibitor rapamycin did not inhibit mTORC2 and was not cytotoxic. Like simvastatin, knock-down of Rictor, an essential component of mTORC2, impaired Akt Ser473 and S6rp phosphorylation and was cytotoxic for C2C12 myoblasts, suggesting that mTORC2 inhibition is an important myotoxic mechanism. The investigation of the mechanism of mTORC2 inhibition showed that simvastatin impaired Ras farnesylation, which was prevented by farnesol but without restoring mTORC2 activity. In comparison, Rap1 knock-down reduced mTORC2 activity and was cytotoxic for C2C12 myoblasts. Simvastatin impaired Rap1 prenylation and function, which was prevented by geranylgeraniol. In addition, simvastatin and the complex III inhibitor antimycin A caused mitochondrial superoxide accumulation and decreased the activity of mTORC2, which could partially be prevented by the antioxidant MitoTEMPO. In conclusion, mTORC2 inhibition is an important mechanism of simvastatin-induced myotoxicity. Simvastatin inhibits mTORC2 by impairing geranylgeranylation of Rap1 and by inducing mitochondrial dysfunction.
The Interrater Reliability and Concurrent Validity of the HCR-20 Version 3 in South Korea

ABSTRACT The HCR-20 Version 3 is a set of structured professional judgment (SPJ) guidelines for conducting general violence risk assessments. We examined the interrater reliability (IRR) and concurrent validity of the HCR-20V3 in Korea. The raters were experienced evaluators who had undergone a specialized training program. Four-member teams of raters independently assessed the risk violence of 80 adult male offenders. We completed an authorized translation of the HCR-20V3 using the information that were collected through interviews and from case histories. IRR was examined by computing intraclass correlation coefficients. Overall, the values that emerged for the presence, relevance, and summary risk ratings were indicative of good to excellent IRR. Concurrent validity was examined by analyzing the correlations between HCR-20 V3 ratings and total scores on the Comprehensive Assessment of Psychopathic Personality Disorder-Institute Rating Scale, Psychopathy Checklist-Revised, Level of Service Inventory-Revised, and Korean Offender Risk Assessment System-General, which is a risk assessment tool for recidivism developed in South Korea. The resultant values were indicative of good validity. The implications for the use of the HCR-20 V3 in field settings by professionals and agencies both within and outside Korea are discussed.
Diverse Intracellular Inclusion Types Within Magnetotactic Bacteria: Implications for Biogeochemical Cycling in Aquatic Environments

Magnetotactic bacteria (MTB) are a group of prokaryotes that generally live dominantly at or just below the oxic‐anoxic transition zone (OATZ) in diverse aquatic environments. They biomineralize intracellular magnetic nanocrystals of magnetite (Fe3O4) or/and greigite (Fe3S4) each enveloped by a bilayer membrane, called a magnetosome, and often organized into a chain or chains. Here, we identify a new magnetotactic spirillum strain (tentatively named WYHS‐1) from freshwater sediments of Weiyang Lake, Xi'an, northwestern China, using coupled fluorescence and transmission electron microscopy at the single‐cell level. Phylogenetic analysis of the 16S rRNA gene sequence indicates that strain WYHS‐1 is affiliated with the Azospirillum genus within the Alphaproteobacteria class of the Proteobacteria phylum. Transmission electron microscopy combined with synchrotron‐based scanning transmission X‐ray microscopy analyses reveal that strain WYHS‐1 produces nearly isotropic magnetite‐type crystals, with average lengths and widths of 34.5 ± 6.7 nm and 32.8 ± 6.5 nm, respectively. WYHS‐1 cells also contain at least three other types of intracellular, submicron inclusions: Sulfur (S0) globules, Ca/Mg‐rich polyphosphate granules, and organic‐deficient vacuoles. Unlike magnetic particles, which occur within all WYHS‐1 cells, the latter three inclusion types are not always present, which indicates that they may be temporary intracellular structures that store or transport chemicals. Together with genomic and physicochemical knowledge for available bacteria, we propose a conceptual model in which MTB drive biogeochemical elemental cycling within aquatic OATZ environments and contribute to the distribution and burial of biominerals in sediments.