bluuebunny/crossref_metadata_2025 huggingface dataset:
Genome-Wide Identification of Loci Associated With Phenology-Related Traits and Their Adaptive Variations in a Highbush Blueberry Collection
Authors: Nagasaka Kyoka , Nishiyama Soichiro , Fujikawa Mao , Yamane Hisayo , Shirasawa Kenta , Babiker Ebrahiem , Tao Ryutaro
Published: January 2022

Genetic variation in phenological traits is the key in expanding production areas of crops. Southern highbush blueberry (SHB) is a blueberry cultivar group adapted to warmer climates and has been developed by multiple interspecific hybridizations between elite northern highbush blueberry (NHB) (Vaccinium corymbosumL.) and low-chillVacciniumspecies native to the southern United States. In this study, we employed a collection of diverse SHB accessions and performed a genome-wide association study (GWAS) for five phenology-related traits [chilling requirement (CR), flowering date, ripening date, fruit development period, and continuous flowering] using polyploid GWAS models. Phenology-related traits showed higher heritability and larger correlation coefficients between year replications, which resulted in the detection of robust phenotype–genotype association peaks. Notably, a single association peak for the CR was detected on Chromosome 4. Comparison of genotypes at the GWAS peaks between NHB and SHB revealed the putative introgression of low-chill and late-flowering alleles into the highbush genetic pool. Our results provide basic insights into the diversity of phenological traits in blueberry and the genetic establishment of current highbush cultivar groups.
Integrative Approach for Precise Genotyping and Transcriptomics of Salt Tolerant Introgression Rice Lines
Authors: Bundó Mireia , Martín-Cardoso Héctor , Pesenti Michele , Gómez-Ariza Jorge , Castillo Laia , Frouin Julien , Serrat Xavier , Nogués Salvador , Courtois Brigitte , Grenier Cécile , Sacchi Gian Attilio , San Segundo Blanca
Published: January 2022

Rice is the most salt sensitive cereal crop and its cultivation is particularly threatened by salt stress, which is currently worsened due to climate change. This study reports the development of salt tolerant introgression lines (ILs) derived from crosses between the salt tolerant indica rice variety FL478, which harbors the Saltol quantitative trait loci (QTL), and the salt-sensitive japonica elite cultivar OLESA. Genotyping-by-sequencing (GBS) and Kompetitive allele specific PCR (KASPar) genotyping, in combination with step-wise phenotypic selection in hydroponic culture, were used for the identification of salt-tolerant ILs. Transcriptome-based genotyping allowed the fine mapping of indica genetic introgressions in the best performing IL (IL22). A total of 1,595 genes were identified in indica regions of IL22, which mainly located in large introgressions at Chromosomes 1 and 3. In addition to OsHKT1;5, an important number of genes were identified in the introgressed indica segments of IL22 whose expression was confirmed [e.g., genes involved in ion transport, callose synthesis, transcriptional regulation of gene expression, hormone signaling and reactive oxygen species (ROS) accumulation]. These genes might well contribute to salt stress tolerance in IL22 plants. Furthermore, comparative transcript profiling revealed that indica introgressions caused important alterations in the background gene expression of IL22 plants (japonica cultivar) compared with its salt-sensitive parent, both under non-stress and salt-stress conditions. In response to salt treatment, only 8.6% of the salt-responsive genes were found to be commonly up- or down-regulated in IL22 and OLESA plants, supporting massive transcriptional reprogramming of gene expression caused by indica introgressions into the recipient genome. Interactions among indica and japonica genes might provide novel regulatory networks contributing to salt stress tolerance in introgression rice lines. Collectively, this study illustrates the usefulness of transcriptomics in the characterization of new rice lines obtained in breeding programs in rice.
Alternative Splicing Dynamics During the Lifecycle of Salvia miltiorrhiza Root Revealed the Fine Tuning in Root Development and Ingredients Biosynthesis
Authors: Li Yajing , Di Peng , Tan Jingfu , Chen Weixu , Chen Junfeng , Chen Wansheng
Published: January 2022

Alternative splicing (AS) is an essential post-transcriptional process that enhances the coding and regulatory potential of the genome, thereby strongly influencing multiple plant physiology processes, such as metabolic biosynthesis. To explore how AS affects the root development and synthesis of tanshinones and phenolic acid pathways in Salvia miltiorrhiza roots, we investigated the dynamic landscape of AS events in S. miltiorrhiza roots during an annual life history. Temporal profiling represented a distinct temporal variation of AS during the entire development stages, showing the most abundant AS events at the early seedling stage (ES stage) and troughs in 45 days after germination (DAG) and 120 DAG. Gene ontology (GO) analysis indicated that physiological and molecular events, such as lateral root formation, gravity response, RNA splicing regulation, and mitogen-activated protein kinase (MAPK) cascade, were greatly affected by AS at the ES stage. AS events were identified in the tanshinones and phenolic acids pathways as well, especially for the genes for the branch points of the pathways as SmRAS and SmKSL1. Fifteen Ser/Arg-rich (SR) proteins and eight phosphokinases (PKs) were identified with high transcription levels at the ES stage, showing their regulatory roles for the high frequency of AS in this stage. Simultaneously, a co-expression network that includes 521 highly expressed AS genes, SRs, and PKs, provides deeper insight into the mechanism for the variable programming of AS.
Non-destructive Measurements of Toona sinensis Chlorophyll and Nitrogen Content Under Drought Stress Using Near Infrared Spectroscopy
Authors: Liu Wenjian , Li Yanjie , Tomasetto Federico , Yan Weiqi , Tan Zifeng , Liu Jun , Jiang Jingmin
Published: January 2022

Drought is a climatic event that considerably impacts plant growth, reproduction and productivity. Toona sinensis is a tree species with high economic, edible and medicinal value, and has drought resistance. Thus, the objective of this study was to dynamically monitor the physiological indicators of T. sinensis in real time to ensure the selection of drought-resistant varieties of T. sinensis. In this study, we used near-infrared spectroscopy as a high-throughput method along with five preprocessing methods combined with four variable selection approaches to establish a cross-validated partial least squares regression model to establish the relationship between the near infrared reflectance spectroscopy (NIRS) spectrum and physiological characteristics (i.e., chlorophyll content and nitrogen content) of T. sinensis leaves. We also tested optimal model prediction for the dynamic changes in T. sinensis chlorophyll and nitrogen content under five separate watering regimes to mimic non-destructive and dynamic detection of plant leaf physiological changes. Among them, the accuracy of the chlorophyll content prediction model was as high as 72%, with root mean square error (RMSE) of 0.25, and the RPD index above 2.26. Ideal nitrogen content prediction model should have R2 of 0.63, with RMSE of 0.87, and the RPD index of 1.12. The results showed that the PLSR model has a good prediction effect. Overall, under diverse drought stress treatments, the chlorophyll content of T. sinensis leaves showed a decreasing trend over time. Furthermore, the chlorophyll content was the most stable under the 75% field capacity treatment. However, the nitrogen content of the plant leaves was found to have a different and variable trend, with the greatest drop in content under the 10% field capacity treatment. This study showed that NIRS has great potential for analyzing chlorophyll nitrogen and other elements in plant leaf tissues in non-destructive dynamic monitoring.
When Teamwork Works: Examining the Relationship Between Leader-Member Exchange Differentiation and Team Creativity
Authors: Du Juan , Lin Xinyue , Cai Yahua , Sun Fufu , Amankwah-Amoah Joseph
Published: January 2022

Drawing on team creativity literature and social comparison theory, we investigate how leader-member exchange (LMX) differentiation influences team creativity. Using a survey based on 91 R&D teams from Chinese companies, we observe that LMX differentiation is negatively related to team creativity (β = −0.35,p< 0.01). More importantly, we demonstrate that team behavioral integration mediates the relationship between LMX differentiation and team creativity (indirect effect size = −0.72, with 95% CI of −1.91, −0.13), and team emotional intelligence (TEI) moderates the relationship between LMX differentiation and team behavioral integration (β = 0.23,p< 0.05), such that LMX differentiation has a weaker negative influence on team behavioral integration when TEI is higher. These results provide relevant suggestions for organizational team building, management, and development.
Assessing and Optimizing Socio-Moral Reasoning Skills: Findings From the MorALERT Serious Video Game
Authors: Zarglayoun Hamza , Laurendeau-Martin Juliette , Tato Ange , Vera-Estay Evelyn , Blondin Aurélie , Lamy-Brunelle Arnaud , Chaieb Sameh , Morasse Frédérick , Dufresne Aude , Nkambou Roger , Beauchamp Miriam H.
Published: January 2022

Background

Social cognition and competence are a key part of daily interactions and essential for satisfying relationships and well-being. Pediatric neurological and psychological conditions can affect social cognition and require assessment and remediation of social skills. To adequately approximate the complex and dynamic nature of real-world social interactions, innovative tools are needed. The aim of this study was to document the performance of adolescents on two versions of a serious video game presenting realistic, everyday, socio-moral conflicts, and to explore whether their performance is associated with empathy or sense of presence, factors known to influence social cognition.

Methods

Participants (12–17 years, M = 14.39; SD = 1.35) first completed a pre-test measure of socio-moral reasoning based on three dilemmas from a previously validated computer task. Then, they either played an evaluative version (n = 24) or an adaptive (n = 33) version of a video game presenting nine social situations in which they made socio-moral decisions and provided justifications. In the evaluative version, participants’ audio justifications were recorded verbatim and coded manually to obtain a socio-moral reasoning maturity score. In the adaptive version (AV), tailored feedback and social reinforcements were provided based on participant responses. An automatic coding algorithm developed using artificial intelligence was used to determine socio-moral maturity level in real-time and to provide a basis for the feedback and reinforcements in the game. All participants then completed a three-dilemma post-test assessment.

Results

Those who played the adaptive version showed improved SMR across the pre-test, in-game and post-test moral maturity scores, F(1.97,63.00) = 9.81, pHF < 0.001, ϵ2 = 0.21, but those who played the Evaluative version did not. Socio-moral reasoning scores from both versions combined did not correlate with empathy or sense of presence during the game, though results neared significance. The study findings support preliminary validation of the game as a promising method for assessing and remediating social skills during adolescence.
Government Communication, Perceptions of COVID-19, and Vaccination Intention: A Multi-Group Comparison in China
Authors: Su Linsen , Du Juana , Du Zhitao
Published: January 2022

Government communication has been playing an important role in mass vaccination to conduct the largest vaccination campaign of the world for COVID-19 and to counter vaccine hesitancy. This study employs the health belief model to examine the association between government communication and the COVID-19 vaccination intention. A survey of Chinese adults (N = 557) was conducted in March 2021, and partial least squares structural equation modeling was employed to estimate the multi-construct relationships. The findings indicate that government communication has both direct positive association with vaccination intention and indirect association with vaccination intention through the mediation of perceived severity, benefits, and barriers. Multi-group comparisons suggest that individuals from private sectors are more easily mobilized to receive COVID-19 vaccination by government communication than those from public sectors. Similarly, the correlation between government communication and the vaccination intention of individuals with a good health status was stronger than that of those with a poor health status. The theoretical and practical implications of these findings are further discussed.
Pure Tone Audiometry and Hearing Loss in Alzheimer's Disease: A Meta-Analysis
Authors: Kwok Susanna S. , Nguyen Xuan-Mai T. , Wu Diana D. , Mudar Raksha A. , Llano Daniel A.
Published: January 2022

An association between age-related hearing loss (ARHL) and Alzheimer's Disease (AD) has been widely reported. However, the nature of this relationship remains poorly understood. Quantification of hearing loss as it relates to AD is imperative for the creation of reliable, hearing-related biomarkers for earlier diagnosis and development of ARHL treatments that may slow the progression of AD. Previous studies that have measured the association between peripheral hearing function and AD have yielded mixed results. Most of these studies have been small and underpowered to reveal an association. Therefore, in the current report, we sought to estimate the degree to which AD patients have impaired hearing by performing a meta-analysis to increase statistical power. We reviewed 248 published studies that quantified peripheral hearing function using pure-tone audiometry for subjects with AD. Six studies, with a combined total of 171 subjects with AD compared to 222 age-matched controls, met inclusion criteria. We found a statistically significant increase in hearing threshold as measured by pure tone audiometry for subjects with AD compared to controls. For a three-frequency pure tone average calculated for air conduction thresholds at 500–1,000–2,000 Hz (0.5–2 kHz PTA), an increase of 2.3 decibel hearing level (dB HL) was found in subjects with AD compared to controls (p = 0.001). Likewise, for a four-frequency pure tone average calculated at 500–1,000–2,000–4,000 (0.5–4 kHz PTA), an increase of 4.5 dB HL was measured (p = 0.002), and this increase was significantly greater than that seen for 0.5–2 kHz PTA. There was no difference in the average age of the control and AD subjects. These data confirm the presence of poorer hearing ability in AD subjects, provided a quantitative estimate of the magnitude of hearing loss, and suggest that the magnitude of the effect is greater at higher sound frequencies.

Systematic Review Registration:https://www.crd.york.ac.uk/prospero/, identifier: CRD42021288280.
How Residents' Attitudes to Tourists and Tourism Affect Their Pro-tourism Behaviours: The Moderating Role of Chinese Traditionality
Authors: Shen Ke , Yang Jian , Geng Chuan
Published: January 2022

Although sufficient attention has been paid to residents' attitudes to tourism in previous studies, few studies have used residents' attitudes to tourists and tourism simultaneously to explain their support for tourism. This study fills this gap by examining the effect of place image and host–tourist interactions on residents' attitudes to tourists and tourism, respectively, and their consequent reactions by considering the moderating effect of Chinese traditionality. The proposed model is tested using data from 357 residents living in Huangshan, a fifth-tier city in China. Results demonstrate that attitudes to tourism and host-tourists interaction positively affect their pro-tourism behaviours. Moreover, attitudes to tourism mediate place the image's, host–tourists interaction's and attitudes to tourists' respective relationships with pro-tourism behaviours. Furthermore, the higher the Chinese traditionality of residents, the stronger the influence of their attitudes to tourism on pro-tourism behaviours. However, the relationship of place image and attitudes of residents towards tourists with pro-tourism behaviours are not supported. Findings offer critical implications for planners, practitioners and interested researchers.
On the Role of Teacher-Student Rapport on English as a Foreign Language Students’ Well-Being
Authors: Li Sa
Published: January 2022

Given the centrality of English as a Foreign Language (EFL) students’ wellbeing in their academic success, identifying factors that may be influential in fostering students’ well-being is of high importance. As such, several studies have delved into the role of various personal and interpersonal factors in increasing EFL students’ well-being. However, little attention has been devoted to the function of teacher-student rapport. Besides, no systematic or theoretical review has been conducted in this regard. To address these gaps, the present study intends to illustrate different definitions of student well-being and teacher-student rapport, their sub-components, and their theoretical relations. Building upon the theoretical and empirical bases, the facilitative function of teacher-student rapport in increasing EFL students’ well-being was proved. Some beneficial implications are also discussed.
Role of Digital Economy in Rebuilding and Sustaining the Space Governance Mechanisms
Authors: Cai Cen , Qiu Ran , Tu Yongqian
Published: January 2022

The need for sustainable corporate governance has gained the interests of researchers for a while now and it has been found as a very significant component of successful organizational operations. The current paper has examined the role of sustainable corporate governance in achieving sustainable economic space along with measuring the indirect impact of technological innovation and IT governance on the whole process. This paper has followed the quantitative-positivism approach to measure the hypotheses developed in the study. The population considered in this study are the managers currently employed in the corporate sector in China (N = 310). The data is analyzed using the Smart-PLS 3.3.3 software for checking the data for preliminary screening and the measurement of hypotheses. The findings of the study show that the three components of sustainable corporate governance, i.e., concern for employees, sustainable corporate governance awareness, and the environmental aspects have a significant as well as a positive effect on technological innovation and hence on the sustainable economic space. Similarly, the study has recorded a significant moderating effect of IT governance on the relationship of technological innovation and the sustainable economic space. Overall, it can be seen that corporate governance, innovative technology, and a sustainable digital economy share a reciprocal relationship. Where corporate governance helps as a supporting force to keep both innovation and sustainability in action. Whereas IT governance provides enhanced communication and delivery of public services, business, and advanced human capital. The study will be of high advantage for the corporate sector in China for devising and modifying their policies that consider the employee’s concerns for the governance mechanisms prevailing at priority in the organizations. Further, it will be interesting for the organizations to incorporate the IT governance mechanism in their technological innovations for achieving a sustainable economic space.
Attenuated Psychotic Symptoms in Adolescents With Chronic Cannabis and MDMA Use
Authors: Wiedmann Melina , Kuitunen-Paul Sören , Basedow Lukas A. , Roessner Veit , Golub Yulia
Published: January 2022

Objectives

Both substance use, on the one hand, and the first signs of psychosis, on the other, commonly begin in adolescence. Adolescents with substance use disorder (SUD) frequently show recreational use of cannabis and 3,4-methylenedioxymethamphetamine (MDMA). When attenuated psychotic symptoms (APS) occur during the course of SUD, they are commonly attributed to the cannabis use, neglecting the role of other substances abused, such as MDMA in the risk of psychosis.

Methods

We analyzed retrospective self-reports on APS (Prodromal Questionnaire, PQ-16) and amount of cannabis and MDMA use in n = 46 adolescent psychiatry outpatients with SUD. N = 17 (35%) individuals reported MDMA consume additional to cannabis. Furthermore, we examined the associations of APS with cannabis and MDMA use in stepwise hierarchical regressions while controlling for trauma history, birth complications and gender.

Results

APS were not related to cannabis (B = 0.04, p = 0.842), but to MDMA use (B = 4.88, p = 0.001) and trauma history (B = 0.72, p = 0.001). Gender (B = −0.22, p = 0.767) and birth complications (B = −0.68, p = 0.178) were not associated with APS.

Discussion

Our results indicate that MDMA use additional to cannabis use is associated with APS among adolescent SUD patients. Contrary to our expectations, we did not see an association of cannabis use and APS. We speculate that cannabis increases the risk for psychosis after a longer period of use and in combination with other risk factors, such as trauma history. Clinicians should screen for APS among SUD patients using MDMA and cannabis in order to adapt treatment plans of SUDs. Future research should validate these findings in longitudinal studies including polysubstance use and trauma history.
A Randomized Controlled Trial on the Effects of a 12-Week High- vs. Low-Intensity Exercise Intervention on Hippocampal Structure and Function in Healthy, Young Adults
Authors: Kaiser Antonia , Reneman Liesbeth , Solleveld Michelle M. , Coolen Bram F. , Scherder Erik J. A. , Knutsson Linda , Bjørnerud Atle , van Osch Matthias J. P. , Wijnen Jannie P. , Lucassen Paul J. , Schrantee Anouk
Published: January 2022

Physical exercise affects hippocampal structure and function, but the underlying neural mechanisms and the effects of exercise intensity remain incompletely understood. Therefore, we undertook a comprehensive, multi-modal 3T and 7T MRI randomized controlled trial (Netherlands Trial Register - NL5847) in which we randomized 52 young, non-athletic volunteers to a 12-week low- or high-intensity exercise program. Using state-of-the-art methods, we investigated changes in hippocampal volume, as well as changes in vasculature, neuro-metabolites, and peripheral growth factors as potential underpinnings. Cardiorespiratory fitness improved over time (p < 0.001), but no interaction with exercise intensity was found (p = 0.48). Accordingly, we did not observe significant interactions between exercise condition and time on MRI measures (all p > 0.06). However, we found a significant decrease in right hippocampal volume (p < 0.01), an increase in left hippocampal glutathione (p < 0.01), and a decrease of left hippocampal cerebral blood volume (p = 0.01) over time, regardless of exercise condition. Additional exploratory analyses showed that changes in brain-derived neurotrophic factor (p = 0.01), insulin-like growth-factor (p = 0.03), and dorsal anterior cingulate cortex N-acetyl-aspartate levels (p = 0.01) were positively associated with cardiorespiratory fitness changes. Furthermore, a trend toward a positive association of fitness and gray-matter cerebral blood flow (p = 0.06) was found. Our results do not provide evidence for differential effects between high-intensity (aerobic) and low-intensity (toning) exercise on hippocampal structure and function in young adults. However, we show small but significant effects of exercise on hippocampal volume, neurometabolism and vasculature across exercise conditions. Moreover, our exploratory results suggest that exercise might not specifically only benefit hippocampal structure and function, but rather has a more widespread effect. These findings suggest that, in agreement with previous MRI studies demonstrating moderate to strong effects in elderly and diseased populations, but none to only mild effects in young healthy cohorts, the benefits of exercise on the studied brain measures may be age-dependent and restorative rather than stimulatory. Our study highlights the importance of a multi-modal, whole-brain approach to assess macroscopic and microscopic changes underlying exercise-induced brain changes, to better understand the role of exercise as a potential non-pharmacological intervention.
Attachment Styles, Personality Organization, and Substance Use as Predictors of Emotion Regulation Strategies “Suppression” and “Reappraisal” in Young Adults
Authors: Burgkart Pauline L. , Vuzic Xenia , Fuchshuber Jürgen , Unterrainer Human-Friedrich
Published: January 2022

Background

As evidenced by current literature, there is a crucial link between emotion regulation, attachment, personality patterns, and substance abuse. However, knowledge regarding the exact interactions of these specific parameters in terms of substance abuse development is still sparse. Therefore, this study is aimed to shed light on how two specific emotion regulation strategies (“Reappraisal” and “Suppression”) might be influenced by the relationship between attachment, structural deficits in personality organization, and addictive behaviors.

Method

A total sample of 299 non-clinical young adults (Age: M = 22; SD = 3.81; 74.2% females) filled in the Emotion Regulation Questionnaire (ERQ) together with the Adult Attachment Scale (AAS), the Personality Organization Inventory (IPO-16), and the Alcohol, Smoking and Substance Involvement Screening (ASSIST) by means of an online survey.

Results

As suggested by hierarchical regression analysis, attachment specifically predicted differences in Emotion Regulation (ER), whereby the AAS subscales “Close” ness (β = −0.38, p < 0.01) and “Depend” ence (β = –0.18, p < 0.01) were negatively associated with increased use of maladaptive strategies of expressional suppression of emotion, and “Depend” (β = 0.26, p < 0.01) was positively associated with increased use of adaptive strategies of cognitive reappraisal.

Discussion

In line with our assumptions, we observed a more secure attachment system to be predictive for an increased use of adequate emotion regulation strategies. The findings support the suggestion that a focus on underlying attachment-related processes in a psychotherapeutic setting might be a promising way to promote adaptive self-regulation of emotions.
Chemical Emissions From Heated Vitamin E Acetate—Insights to Respiratory Risks From Electronic Cigarette Liquid Oil Diluents Used in the Aerosolization of Δ9-THC-Containing Products
Authors: LeBouf Ryan F. , Ranpara Anand , Ham Jason , Aldridge Michael , Fernandez Elizabeth , Williams Kenneth , Burns Dru A. , Stefaniak Aleksandr B.
Published: January 2022

As of February 18, 2020, the e-cigarette, or vaping, product use associated lung injury (EVALI) outbreak caused the hospitalization of a total of 2,807 patients and claimed 68 lives in the United States. Though investigations have reported a strong association with vitamin E acetate (VEA), evidence from reported EVALI cases is not sufficient to rule out the contribution of other chemicals of concern, including chemicals in either THC or non-THC products. This study characterized chemicals evolved when diluent oils were heated to temperatures that mimic e-cigarette, or vaping, products (EVPs) to investigate production of potentially toxic chemicals that might have caused lung injury. VEA, vitamin E, coconut, and medium chain triglyceride (MCT) oil were each diluted with ethanol and then tested for constituents and impurities using a gas chromatograph mass spectrometer (GC/MS). Undiluted oils were heated at 25°C (control), 150°C, and 250°C in an inert chamber to mimic a range of temperatures indicative of aerosolization from EVPs. Volatilized chemicals were collected using thermal desorption tubes, analyzed using a GC/MS, and identified. Presence of identified chemicals was confirmed using retention time and ion spectra matching with analytic standards. Direct analysis of oils, as received, revealed that VEA and vitamin E were the main constituents of their oils, and coconut and MCT oils were nearly identical having two main constituents: glycerol tricaprylate and 2-(decanoyloxy) propane-1,3-diyl dioctanoate. More chemicals were measured and with greater intensities when diluent oils were heated at 250°C compared to 150°C and 25°C. Vitamin E and coconut/MCT oils produced different chemical emissions. The presence of some identified chemicals is of potential health consequence because many are known respiratory irritants and acute respiratory toxins. Exposure to a mixture of hazardous chemicals may be relevant to the development or exacerbation of EVALI, especially when in concert with physical damage caused by lung deposition of aerosols produced by aerosolizing diluent oils.
An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach
Authors: R. Sivashankari , M. Sudha , Hasan Mohammad Kamrul , Saeed Rashid A. , Alsuhibany Suliman A. , Abdel-Khalek Sayed
Published: January 2022

Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Every year the number of people with diabetes rises by millions, and this affects children too. The disease identification involves manual checking so far, and automation is a current trend in the medical field. Existing methods use a single algorithm for the prediction of diabetes. For complex problems, a single model is not enough because it may not be suitable for the input data or the parameters used in the approach. To solve complex problems, multiple algorithms are used. These multiple algorithms follow a homogeneous model or heterogeneous model. The homogeneous model means the same algorithm, but the model has been used multiple times. In the heterogeneous model, different algorithms are used. This paper adopts a heterogeneous ensemble model called the stacked ensemble model to predict whether a person has diabetes positively or negatively. This stacked ensemble model is advantageous in the prediction. Compared to other existing models such as logistic regression Naïve Bayes (72), (74.4), and LDA (81%), the proposed stacked ensemble model has achieved 93.1% accuracy in predicting blood sugar disease.
Green Supply Chain Management With Sustainable Economic Growth by CS-ARDL Technique: Perspective to Blockchain Technology
Authors: Gu Zhenjing , Malik Haider Ali , Chupradit Supat , Albasher Gadah , Borisov Vitality , Murtaza Natasha
Published: January 2022

Logistics plays a major part in any country's or region's economic success. Logistics performance depends upon the trade between other countries and urbanization. Urbanization has major role in logistics performance. However, being a significant energy user, logistics has negative consequences. As the logistics performance increases, carbon emissions increase as well because of more transportation and urbanization. Logistics performance has positive effects related to trade openness which reduces carbon emissions. As a result, it is necessary to understand function of logistics from both economic and environmental standpoint. Logistics performance is affected by urbanization of any region. The dataset for this research is made up of 10 Asian nations with 550 observations from 2010 to 2018 and is based on the theoretical underpinnings of impact of population affluence and technology (IPAT) and stochastic impacts by regression on population affluence and technology (STIRPAT). After applying various tests like cointegration analysis, unit root test, cross-sectional dependence now long & short-term relation of variables is studied by Cross-sectionally augmented autoregressive distributed lag (CS-ARDL). As indicated by the discoveries, the logistic performance index (LPI) is basically effective on economic growth and carbon emissions, particularly when related to IPAT and STIRPAT. The findings are reviewed, and policy implications are offered, which say that current logistical infrastructure should be transformed to more environmentally friendly operations. Finally, the limits are acknowledged, as well as future research possibilities that should be pursued.
Uncertainty and Fears Around Sustainability: A Qualitative Exploration of the Emotional Reactions of Dental Practitioners and Dental Care Professionals During COVID-19
Authors: Knights Jennifer , Beaton Laura , Young Linda , Araujo Mariana , Yuan Siyang , Clarkson Jan , Humphris Gerry , Freeman Ruth
Published: January 2022

Introduction

Recent cross-sectional surveys have shown the detrimental impact of COVID-19 on the health and well-being of dental practitioners and dental care professionals. This qualitative study complements the growing quantitative evidence base with an in-depth exploration of the lived experiences of those working in primary care dental teams in Scotland.

Methods

Focus groups were carried out with primary care dental team members and trainees between July and October 2020. Olsen's tripartite framework of health service sustainability was operationalised to explore how participants experienced uncertainty and their attempts to sustain dental services.

Results

Analysis revealed significant concerns surrounding the sustainability of dental services and dental training programmes as a consequence of the emergency level response to the pandemic. Restrictions on dentistry were seen to be severely impeding desirable clinical outcomes, particularly for the most vulnerable groups. Participants experienced being unable to deliver high quality care to their patients as both confusing and distressing. The capability of the dental health care system to meet a growing backlog of dental need and manage this effectively in a pandemic era was called in to serious question. Ongoing uncertainties were affecting how participants were thinking about their professional futures, with stress about income and employment, along with heightened experiences of professional isolation during the pandemic, resulting in some looking at possibilities for retraining or even considering leaving their profession altogether.

Discussion

The impact of the pandemic has produced considerable uncertainty regarding the sustainability of dental services in the medium to longer term. It has also served to expose the uncertainties practitioners grapple with routinely as they attempt to sustain their NHS dental service delivery.

Conclusion

This study brings in to sharp focus the diversity of challenges, confusions and uncertainties experienced by dental practitioners and dental care professionals during the COVID-19 pandemic and the need for suitable and ongoing measures to be put in place to support their mental well-being.
Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework
Authors: Bueckle Andreas , Buehling Kilian , Shih Patrick C. , Börner Katy
Published: January 2022

Virtual reality (VR) has seen increased use for training and instruction. Designers can enable VR users to gain insights into their own performance by visualizing telemetry data from their actions in VR. Our ability to detect patterns and trends visually suggests the use of data visualization as a tool for users to identify strategies for improved performance. Typical tasks in VR training scenarios are manipulation of 3D objects (e.g., for learning how to maintain a jet engine) and navigation (e.g., to learn the geography of a building or landscape before traveling on-site). In this paper, we present the results of the RUI VR (84 subjects) and Luddy VR studies (68 subjects), where participants were divided into experiment and control cohorts. All subjects performed a series of tasks: 44 cube-matching tasks in RUI VR, and 48 navigation tasks through a virtual building in Luddy VR (all divided into two sets). All Luddy VR subjects used VR gear. RUI VR subjects were divided across three setups: 2D Desktop (with laptop and mouse), VR Tabletop (in VR, sitting at a table), and VR Standup (in VR, standing). In an intervention called “Reflective phase,” the experiment cohorts were presented with data visualizations, designed with the Data Visualization Literacy Framework (DVL-FW), of the data they generated during the first set of tasks before continuing to the second part of the study. For Luddy VR, we found that experiment users had significantly faster completion times in their second trial (p= 0.014) while scoring higher in a mid-questionnaire about the virtual building (p= 0.009). For RUI VR, we found no significant differences for completion time and accuracy between the two cohorts in the VR setups. however, 2D Desktop subjects in the experiment cohort had significantly higher rotation accuracy as well as satisfaction (protation= 0.031,psatisfaction= 0.040). We conclude with suggestions for adjustments to the Reflective phase to boost user performance before generalizing our findings to performance improvement in VR with data visualizations.
On the Robustness and Efficiency of the Plane-Wave-Enriched FEM with Variable q-Approach on the 2D Room Acoustics Problem
Authors: Mukae Shunichi , Okuzono Takeshi , Sakagami Kimihiro
Published: January 2022

Partition of unity finite element method with plane wave enrichment (PW-FEM) uses a shape function with a set of plane waves propagating in various directions. For room acoustic simulations in a frequency domain, PW-FEM can be an efficient wave-based prediction method, but its practical applications and especially its robustness must be studied further. This study elucidates PW-FEM robustness via 2D real-scale office room problems including rib-type acoustic diffusers. We also demonstrate PW-FEM performance using a sparse direct solver and a high-order Gauss–Legendre rule with a recently developed rule for ascertaining the number of integration points against the classical linear and quadratic FEMs. Numerical experiments investigating mesh size and room geometrical complexity effects on the robustness of PW-FEM demonstrated that PW-FEM becomes more robust at wide bands when using a mesh in which the maximum element size maintains a comparable value to the wavelength of the upper-limit frequency. Moreover, PW-FEM becomes unstable with lower spatial resolution mesh, especially for rooms with complex shape. Comparisons of accuracies and computational costs of linear and quadratic FEM revealed that PW-FEM requires twice the computational time of the quadratic FEM with a mesh having spatial resolution of six elements per wavelength, but it is highly accurate at wide bands with lower memory and with markedly fewer degrees of freedom. As an additional benefit of PW-FEM, the impulse response waveform of quadratic FEM in a time domain was found to deteriorate over time, but the PW-FEM waveform can maintain accurate waveforms over a long time.
Spall Fault Quantification Method for Flight Control Electromechanical Actuator
Authors: Ismail Mohamed A. A. , Balaban Edward , Windelberg Jens
Published: January 2022

Flight control electro-mechanical actuators (EMAs) are among the primary onboard systems that significantly influence the reliability and safety of unmanned aerial vehicles. Recent reliability studies have shown that the ball-screw element of a flight control EMA is subject to oscillating operating conditions that may initiate rapid degradation, such as fatigue spall defects. Accordingly, detecting and quantifying such faults are crucial for developing efficient fault prognostic and remaining useful life estimation capabilities. In this study, a vibration-based fault quantification method is developed to quantify the fatigue faults of a ball-screw mechanism of an EMA. The method is based on identifying the ball passing instants through a localized surface defect on the vibrational jerk rather than the vibrational acceleration measurement. The jerk is numerically determined from conventional accelerometers using a Savitzky–Golay differentiator. This method was successfully tested for ball bearings and it is adjusted in this paper for ball-screw faults. The experimental validation is investigated on a set of fault-seeded samples on NASA’s Ames Research Center Flyable Electro-Mechanical Actuator test stand.
Model-Free Parallel Predictive Torque Control Based on Ultra-Local Model of Permanent Magnet Synchronous Machine
Authors: Lv Manping , Gao Siyu , Wei Yanjun , Zhang Di , Qi Hanhong , Wei Yao
Published: January 2022

The finite control set model predictive torque control (FCS-MPTC) selects the optimal voltage vector (VV) by the composite cost function composed of torque and flux error, which makes it have a faster dynamic response than conventional control methods. However, the prediction state error caused by machine parameter mismatch and the difficulty in setting the weight factor in the composite cost function seriously restrict the popularization and application of FCS-MPTC. In this paper, a model-free parallel predictive torque control (MF-PPTC) based on an ultra-local (UL) model is proposed to solve above problems. The UL model replaces the machine mathematical model without any machine parameters and only uses the input and output of the system, which greatly improves the robustness of the control system. The nonlinear extended state observer proposed for the unknown part of the system has fast convergence and improves the dynamic performance of the system. In addition, the conventional parallel predictive control structure is optimized to reduce the dynamic adjustment process during the selection of optimal voltage vector. Simulation and experimental comparison between the conventional PPTC and the proposed MF-PPTC verified the superiority of the proposed method.
A Learning-by-Doing Approach to Entrepreneurship Education: Evidence from a Short Intensive Online International Program
Authors: Colombelli Alessandra , Panelli Andrea , Serraino Francesco
Published: January 2022

Entrepreneurship is considered a key driver for economic growth. Therefore, more and more studies are investigating the role and effectiveness of entrepreneurship education. In this context, the present study is aimed at investigating the effectiveness of entrepreneurship programs, with a learning-by-doing approach, on the entrepreneurial intention, entrepreneurial characteristics (entrepreneurial attitude, entrepreneurial self-efficacy, entrepreneurial mindset, core self-evaluation) and entrepreneurial skills (creativity, financial literacy, marshaling of resources, planning, teamwork). The study has analyzed a short intensive online entrepreneurship program, which adopts a learning-by-doing approach and targets students from different European technical universities, with different levels of education and different entrepreneurial backgrounds, giving them the opportunity to work on different types of projects. Pre- and post-course surveys were conducted in order to perform qualitative analyses on the effectiveness of the program. The results show that the entrepreneurial intention and perception of the entrepreneurial characteristics and skills of the students increased after participation in the program. In addition, our findings reveal that the program appears to be more effective for MSc students than for PhD ones and for students who had never attended any entrepreneurship program before, while there is no difference in the effectiveness of the program in terms of gender.
Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods
Authors: Puška Adis , Nedeljković Miroslav , Prodanović Radivoj , Vladisavljević Radovan , Suzić Radmila
Published: January 2022

The research deals with the market assessment of pear varieties in Serbia. Market assessment represents the willingness of customers to consume a certain fruit or a certain variety. This research applies a market assessment of pear varieties based on expert decision making. Together with the experts, the criteria and varieties of pears used in the research are determined. Ten criteria and six varieties of pears that are mostly grown in Serbia are used. Experts evaluated pear varieties based on linguistic values according to selected criteria. Based on these values, and using fuzzy logic, the weights of the criteria are first determined using the fuzzy CRITIC method (criteria importance through intercriteria correlation), and pear varieties are ranked using the fuzzy CRADIS method (compromise ranking of alternatives from distance to ideal solution). The obtained results show that the highest rated varieties are Konferans and Viljamovka, while the lowest rated variety is Šampionka. Sensitivity analysis confirms these results. The obtained results will help cultivators and fruit vendors to choose those varieties that will achieve the best market results. This study is conducted to provide guidelines for the use of fuzzy methods in marketing assessment in fruit growing.
Management of Chrysanthemum Verticillium Wilt through VIF Soil Mulching Combined with Fumigation at Label and Reduced Rates
Authors: Castello Ivana , D’Emilio Alessandro , Baglieri Andrea , Polizzi Giancarlo , Vitale Alessandro
Published: January 2022

Pre-plant soil fumigation for managing soilborne pathogens is practiced worldwide in several intensive ornamental and vegetable production areas. However, global regulations are currently implemented to minimize use of these chemicals. According to these policies, the efficacies of dazomet (DZ, Basamid Granulat®) applied alone to soil and under virtually impermeable film (VIF) at reduced (247.5 kg ha−1 a.i.) and label (495 kg ha−1 a.i.) rates were assessed in managing natural infections of Verticillium wilt and in reducing yield losses on greenhouse chrysanthemum plantations in two trials carried out in the 2012 and 2013 seasons. The performances of this fumigant at a lower rate combined with VIF application were also compared with standardized metam-sodium (MS, Divapan®) fumigation applied at 510 L ha−1 a.i. under VIF and application of dazomet at label rate alone to bare soil. Temperatures were monitored at 20-cm depth in plots covered (VIF) throughout the entire fumigation period. Although all fumigation treatments significantly reduced the infection level by V. dahliae on chrysanthemum, the performances differed among them. DZ and MS applied at label rates under VIF showed the most effectiveness in controlling Verticillium wilt of chrysanthemum. However, DZ applied to soil at a low rate under VIF mulching showed good performances, which were always better than application of DZ alone at label rate to bare soil. Moreover, when combining a reduced rate of DZ with VIF mulching, chrysanthemum yield losses were reduced in a similar manner to the label rate application under VIF. Based on these findings, DZ application at a reduced rate could be suggested on a large scale to prevent Verticillium attacks on chrysanthemum cultivated on a protected crop. Future studies should be performed to verify the ability of VIF application in inducing high temperatures in soil and above all in enhancing performances of soil fumigation at low rates performed with other natural and chemical sterilants.