bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vitro Methodology to Assess Quantitative Resistance in Plant-fungus Pathosystems
Authors: Sakr Nachaat 
Published: December 2022

Background:
Quantitative resistance (QR) to fungal pathogens remains a primary focus of all major host breeding programs. Field screenings for resistant plants, although accurate and effective, demand significant time and a sizable workforce to accomplish. Moreover, weather conditions in the field may not always be favorable for uniform disease spread, which eventually may lead to the failure of the overall experiment. The development of a more efficient and reliable bioassay to screen for resistance to fungal pathogens would be advantageous for any breeding program working on disease resistance; however, only if it correlates with field screening trials.

Objective:
The objective of this review is to combine novel findings related to rapid screening methods to evaluate QR, which are needed to accelerate the progress in developing fungal disease resistance in cultivars. Insights into the in vitro quantitative components of the host-pathogen interaction, factors affecting in vitro evaluation in young plant materials, as well as molecular pathways for the association between the in vitro and adult plant responses to fungal infection are also reviewed.

Conclusion:
An in vitro method was found to be efficient and successful in terms of inoculum volume, plant samples, and working space. The main advantage of this method is its predictive ability for adult plant disease. In addition, it provides reproducible results and is found to be a simple and reliable method. The in vitro assay allows rapid and early determination of resistance/susceptibility to fungal pathogens, which can be incorporated into a breeding program for identifying resistant plants.
Critical Naturalism: A Manifesto
Authors: Gregoratto Federica , Ikäheimo Heikki , Renault Emmanuel , Särkelä Arvi , Testa Italo 
Published: December 2022

The Critical Naturalism Manifesto is a common platform put forward as a basis for broad discussions around the problems faced by critical theory today. We are living in a time, e.g. a pandemic time, when present-day challenges exert immense pressure on social critique. This means that models of social critique should not be discussed from the point of view of their normative justification or political effects alone, but also with reference to their ability to tackle contemporary problematic issues (like the dismantlement of the welfare state, the environmental catastrophe, and the sanitary crisis). With this manifesto, we invite varying practices of philosophical, artistic and scientific social critique to take seriously the enormous challenges our societies face with regard to inner and outer nature.
We first identity eleven theses of critical naturalism which contemporary critical theory should take into consideration. We then identify the historical crises and catastrophes that critical naturalism seeks to respond to, dispelling the prejudices against naturalism in contemporary critical thought, and considering alternative answers to these questions such as social constructivism, accelerationism, xenofeminism, flat ontologism, and monist world ecology. By sketching the notions of nature and naturalism, we anchor critical naturalism in the history of materialism and critical theory, understood initially as that of the Frankfurt School, but expanded and enriched by other approaches to social critique. Finally, we sketch models and projects of critical naturalism, which are exemplary fragments of varying ways to practice naturalist social critique.
User Experience of COVID-19 Chatbots: Scoping Review
Authors: White Becky K , Martin Annegret , White James Angus 
Published: December 2022

BackgroundThe COVID-19 pandemic has had global impacts and caused some health systems to experience substantial pressure. The need for accurate health information has been felt widely. Chatbots have great potential to reach people with authoritative information, and a number of chatbots have been quickly developed to disseminate information about COVID-19. However, little is known about user experiences of and perspectives on these tools.ObjectiveThis study aimed to describe what is known about the user experience and user uptake of COVID-19 chatbots.MethodsA scoping review was carried out in June 2021 using keywords to cover the literature concerning chatbots, user engagement, and COVID-19. The search strategy included databases covering health, communication, marketing, and the COVID-19 pandemic specifically, including MEDLINE Ovid, Embase, CINAHL, ACM Digital Library, Emerald, and EBSCO. Studies that assessed the design, marketing, and user features of COVID-19 chatbots or those that explored user perspectives and experience were included. We excluded papers that were not related to COVID-19; did not include any reporting on user perspectives, experience, or the general use of chatbot features or marketing; or where a version was not available in English. The authors independently screened results for inclusion, using both backward and forward citation checking of the included papers. A thematic analysis was carried out with the included papers.ResultsA total of 517 papers were sourced from the literature, and 10 were included in the final review. Our scoping review identified a number of factors impacting adoption and engagement including content, trust, digital ability, and acceptability. The papers included discussions about chatbots developed for COVID-19 screening and general COVID-19 information, as well as studies investigating user perceptions and opinions on COVID-19 chatbots.ConclusionsThe COVID-19 pandemic presented a unique and specific challenge for digital health interventions. Design and implementation were required at a rapid speed as digital health service adoption accelerated globally. Chatbots for COVID-19 have been developed quickly as the pandemic has challenged health systems. There is a need for more comprehensive and routine reporting of factors impacting adoption and engagement. This paper has shown both the potential of chatbots to reach users in an emergency and the need to better understand how users engage and what they want.
Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study
Authors: Jafarlou Salar , Lai Jocelyn , Azimi Iman , Mousavi Zahra , Labbaf Sina , Jain Ramesh C , Dutt Nikil , Borelli Jessica L , Rahmani Amir 
Published: December 2022

Background
Affective states are important aspects of healthy functioning; as such, monitoring and understanding affect is necessary for the assessment and treatment of mood-based disorders. Recent advancements in wearable technologies have increased the use of such tools in detecting and accurately estimating mental states (eg, affect, mood, and stress), offering comprehensive and continuous monitoring of individuals over time.

Objective
Previous attempts to model an individual’s mental state relied on subjective measurements or the inclusion of only a few objective monitoring modalities (eg, smartphones). This study aims to investigate the capacity of monitoring affect using fully objective measurements. We conducted a comparatively long-term (12-month) study with a holistic sampling of participants’ moods, including 20 affective states.

Methods
Longitudinal physiological data (eg, sleep and heart rate), as well as daily assessments of affect, were collected using 3 modalities (ie, smartphone, watch, and ring) from 20 college students over a year. We examined the difference between the distributions of data collected from each modality along with the differences between their rates of missingness. Out of the 20 participants, 7 provided us with 200 or more days’ worth of data, and we used this for our predictive modeling setup. Distributions of positive affect (PA) and negative affect (NA) among the 7 selected participants were observed. For predictive modeling, we assessed the performance of different machine learning models, including random forests (RFs), support vector machines (SVMs), multilayer perceptron (MLP), and K-nearest neighbor (KNN). We also investigated the capability of each modality in predicting mood and the most important features of PA and NA RF models.

Results
RF was the best-performing model in our analysis and performed mood and stress (nervousness) prediction with ~81% and ~72% accuracy, respectively. PA models resulted in better performance compared to NA. The order of the most important modalities in predicting PA and NA was the smart ring, phone, and watch, respectively. SHAP (Shapley Additive Explanations) analysis showed that sleep and activity-related features were the most impactful in predicting PA and NA.

Conclusions
Generic machine learning–based affect prediction models, trained with population data, outperform existing methods, which use the individual’s historical information. Our findings indicated that our mood prediction method outperformed the existing methods. Additionally, we found that sleep and activity level were the most important features for predicting next-day PA and NA, respectively.
An Automated Virtual Reality Training System for Teacher-Student Interaction: A Randomized Controlled Trial
Authors: King Seth , Boyer Joseph , Bell Tyler , Estapa Anne 
Published: December 2022

Background
Shortages in qualified supervision and other resources prevent education personnel from rehearsing effective practices. Interactive simulations, although increasingly used in education, frequently require instructor management. Automated simulations rarely engage trainees in skills related to practice (eg, speech).

Objective
We evaluated the capability of delivering behavioral skills training through an automated virtual reality (VR) simulation using artificial intelligence to improve the implementation of a nondirective mathematical questioning strategy.

Methods
We recruited and randomly assigned 30 college-aged participants to equivalent treatment (ie, lecture, modeling, and VR; 15/30, 50%) and control groups (ie, lecture and modeling only; 15/30, 50%). The participants were blind to treatment conditions. Sessions and assessments were conducted face to face and involved the use of VR for assessment regardless of the condition. Lessons concerned the use of a nondirective mathematical questioning strategy in instances where a simulated student provided correct or incorrect answers to word problems. The measures included observed and automated assessments of participant performance and subjective assessments of participant confidence. The participants completed the pretest, posttest, and maintenance probes each week over the course of 3 weeks.

Results
A mixed ANOVA revealed significant main effects of time (F2,27=124.154; P<.001; ηp2=0.816) and treatment (F1,28=19.281; P<.001; ηp2=0.408) as well as an interaction effect (F2,28=8.429; P<.001; ηp2=0.231) for the average percentage of steps in the questioning procedure. Posttest scores for the intervention group (mean 88%, SD 22.62%) exceeded those of the control group (mean 63.33%, SD 22.64%), with t28=3.653, P<.001, and Cohen d=1.334. Maintenance scores indicated a positive effect of the intervention (mean 83.33%, SD 24.40%) relative to the control (mean 54.67%, SD 15.98%), t28=3.807, P<.001, Cohen d=1.39. A Mann-Whitney U test indicated that the treatment groups’ self-ratings of confidence (mean 2.41, SD 0.51) were higher than those of the control group (mean 2.04, SD 0.52), U=64, P=.04, r=0.137.

Conclusions
The results demonstrate the potential of artificial intelligence-augmented VR to deliver effective, evidence-based training with limited instructor management. Additional work is needed to demonstrate the cascading effect of training on authentic practice and to encompass a wider range of skills.
Global prevalence and epidemiology of leptospirosis in domestic cats, a systematic review and meta-analysis
Authors: Azocar-Aedo Lucia 
Published: December 2022

Research worldwide describes different prevalences of leptospirosis in domestic cats. The aims of this study were: to perform a systematic review to determine epidemiologic characteristics of published observational studies on leptospirosis, and to obtain pooled measures of the global prevalence of the disease with a meta-analysis for studies using indirect diagnostic tests (M1) and direct diagnostic tests (M2). A bibliographic search to find observational epidemiological studies reporting the prevalence of leptospirosis in cats was performed. The geographic location and decade of publication of the studies, serovars, serogroups and factors associated with Leptospira infection were summarized through a systematic review. Meta-analyses were achieved to obtain the pooled global prevalence (M1 and M2), prevalences according to the continent and origin of the sampled cats. 139 articles were found, and 93 were selected. In 16 articles, Leptospira serogroups were recorded and seropositivity was more frequent for Icterohaemorragiae, Australis, Autumnalis, Pomona. In 59 articles, the serovars were reported, being the most common reactions for Pomona, Grippotyphosa and Canicola. The M1 included 83 articles; the pooled prevalence was 11.09 % (95 % CI = 8.68–13.73). The M2 comprised 23 studies and the pooled prevalence was 9.22 % (95 % CI = 4.30–15.41). A subgroup analysis revealed higher pooled prevalences in Oceania and Europe, shelter, rural and outdoor cats in studies using indirect diagnostic tests and in Asia, stray cats and veterinary hospital patients in studies with direct tests.
Specific Histologic Type of Leiomyoma Related to Estrogen Receptor Expression
Authors: Armerinayanti Ni Wayan , Desak Putu Oki Lestari  , I Gde Sastra Winata  
Published: December 2022

Uterine Leiomyoma or fibroid is the most common gynecologic benign neoplasm which arising from monoclonal proliferation of smooth muscle cells in uterine wall. Some specific types of uterine leiomyoma, such ascellular leiomyoma, symplastic leiomyoma, mitotically active leiomyoma andmyxoid leiomyomahave different histomorphology from usual type leiomyoma. It also have wide variety of tumors size, but this study found that no correlation between type of leiomyoma and its size. Additional non-invasive therapy that predominantly developed in leiomyoma include many antagonist agents of estrogenic receptor. So, important to determine of estrogen receptor activity before that hormonal therapy prescription.Histopathology parameter that predict estrogen receptor activity in leiomyoma was not well understood. This study also try to correlate between specific histologic type of leiomyoma and estrogen receptor activity. This study was a retrospective crossectional study which analized by pearson chi-square test with p value < 0.05 and CI 95%. Result: There was significant correlation between specific histologic type of leiomyoma and estrogen receptor expression (p=0.007; p<0.05).

Key Words: Leiomyoma, Estrogen Receptor
HOW TO ENGAGE EMPLOYEE: THE INFLUENCE OF LEADERSHIP AND TEAM WORK
Authors: Nelson Alden 
Published: December 2022

The term employee engagement relates to the level of an employee's commitment and it is has a connection to an organization. Employee engagement has emerged as a critical driver of business success in today's competitive marketplace. The purpose of this research to determine the correlation of employee engagement with leadership and team work in multinational company in Batam. The factors used in this study are leadership (X1), team work (X2), motivation (X3) and employee engagement (Y). The analysis technique used is multiple linear regression and the type of research includes explanatory research with hypothesis testing from primary data obtained from questionnaires. The data tested using Smart PLS 3.0 and found that the leadership no significant effet to employee engagement but team work and motivation have significant effect to employee engagement.
Developing a Bundled Visual Arts Assessment Model
Authors: Brewer Thomas M. 
Published: December 2022

Abstract
As art educators, we should be past the point of being afraid of or threatened by assessment. As a discipline we need it, but two persistent questions remain: What should assessment look like, and how do we go about creditably assessing it? This paper addresses these questions with a focused inquiry of visual art assessment literature. The results strengthen the conceptual foundation for the "bundled" assessment model, confirm that authentic and performance-based visual arts assessment is greatly needed, and make clear that new tests should measure cognitive contributions found specifically in visual arts learning. The results also lead to the development and construction of sample items that can be "bundled" together by their type and kind, featuring a degree of item selection flexibility, using varied separate and aggregated scoring options, and employing a number of contemporary and folk art exemplars. This paper and the sample test items will significantly contribute to the body of knowledge about visual art assessment and give us a glimpse into what students learn specifically when they make, respond to, and think about visual art.
Children’s Collections and the Art Museum
Authors: Stone Denise L. 
Published: December 2022

Abstract
Young collectors imitate the activities of sophisticated art collectors by acquiring, exchanging, safekeeping, and showing their items. The present study employed both quantitative and qualitative inquiry processes to both acquire information about school age-students’ collections and to find out more about how well students could relate their collections and collecting activities to those of art museums. This research was descriptive and employed a mixed-method design incorporating the results of two instruments, a questionnaire and face-to-face interviews. A total of 63 public school 4th, 5th, and 6th graders participated in the study; of these 35 were boys and 30 girls. Findings suggested that a museum visit was beneficial to students when comparing and contrasting their collections that of museums. These results have implications for teaching about museums. Students’ personal collections may be a concrete way for initiating discussions about the nature and functions of museums, the value placed on special objects by individuals and institutions, and what makes some objects special.
Visual Culture and Art Museums: A Continuum from the Ordinary
Authors: Vallance Elizabeth 
Published: December 2022

Abstract
It can be useful to understand the role of visual imagery in our lives in terms of its placement along a continuum, from the ordinary images in everyday life to fine-art images on view in the controlled setting of the art museum. This continuum is developed here from an existing model of the life cycle of museum objects to describe the changing roles of objects as they change settings and as viewers change their relationships to them. This line of thinking about the nature of everyday and museum objects is an outcome of visual culture studies, and also suggests some ways to use everyday imagery in teaching about museum objects as well as using museum objects to enrich our experience with the ordinary. The argument is illustrated by reference to art-education students’ comparisons of objects found at different points along the continuum.
“The Challenge of Creating a New Kind of Museum”: Installed Interpretives for Adults in the Denver Art Museum’s New Hamilton Building
Authors: Levinson Lisa , Caruso Laura , McDermott-Lewis Melora , Williams Patterson , Steffen Lisa , Nielsen Heather , Hanson Sonnet 
Published: December 2022

Abstract
This article looks at the process of creating installed interpretives for adults in the Denver Art Museum’s new Frederic C. Hamilton Building, which opened in October 2006. Using "serving the visitor with choice" as their guiding principle, Denver Art Museum educators developed interpretives that explored four different areas: connecting visitors with artists, engaging visitor creativity, incorporating multiple voices, and engaging visitor responses. Educators conducted small-sample tests to help them uncover problems with their prototypes and act quickly to resolve them. Evaluations of a poetry-writing activity gave educators insight into a multifaceted problem: Despite the fact that adults report enjoying interactives when asked to try them as part of visitor testing, they are reticent to attempt these activities on their own. Meanwhile, testing an activity designed to inform and elicit visitors’ responses to a controversial painting unearthed a critical flaw in the design. Finally, three novel installations experimented with different ways of using video to humanize the art.
The Social Life of Technology for Museum Visitors
Authors: Sayre Scott , Wetterlund Kris 
Published: December 2022

Abstract
In the past decade writers and researchers have given a fair amount of consideration to the individual adult visitor’s interaction with technology in museums. However, very little has been written about the potential of museum technology and groups of learners—surprising since we know that most visitors come to museums in social groups. This article examines the kinds of interaction and mediated experiences that groups of learners might have with museum technology, and imagines some models for groups of learners and technology for museums in the future.
Mentoring Relations Within A/r/tographic Inquiry
Authors: Kalin Nadine M. , Barney Daniel T. , Irwin Rita L. 
Published: December 2022

Abstract
This essay offers a conversation on mentoring within dissertation research from the perspectives of a graduate student, new assistant professor, and senior administrator. Specifically, we revisit the mentoring spaces and relations within which we were immersed while partaking in a form of arts-based educational research known as a/r/tography. We articulate an orientation toward mentoring that extends into interactive and relational forms that are in line with current discourses on mentoring within doctoral research. As we analyze our work together, we simultaneously deconstruct the ways in which we have supported and unsettled one another. While we share narratives from our experiences, we also reveal those relations that underpin a provisional pedagogy of mentoring within a/r/tography.
Mentoring Graduate Research: A Conversation With B. Stephen Carpenter II, Graeme Sullivan, and Enid Zimmerman
Authors: Carpenter B. Stephen , Sullivan Graeme , Zimmerman Enid , Carpenter B. Steven 
Published: December 2022

Abstract
A mentor is an important component of the graduate school experience. However, not all mentors are the same or embrace similar philosophies on how to perform this role. For graduate students in art education who seek future roles in academia, a strong mentor can be an important guide and role model. In this essay, three university mentors discuss how they combine their research, instructional, and service requirements into a single endeavor and help shape the present and future of the field.