bluuebunny/crossref_metadata_2025_split huggingface dataset:
Professionals harnessing experiential knowledge in Dutch mental health settings
Authors: Karbouniaris Simona , Weerman Alie , Dunnewind Bea , Wilken Jean Pierre , Abma Tineke A. 
Published: September 2021

Purpose
This study aims to explore the perspectives of mental health professionals who are in a process of integrating their own experiential knowledge in their professional role. This study considers implications for identity, dilemmas and challenges within the broader organization, when bringing experiential knowledge to practice.

Design/methodology/approach
As part of a participatory action research approach, qualitative methods have been used, such as in-depth interviews, discussions and observations during training and project team.

Findings
The actual use of experiential knowledge by mental health care professionals in their work affected four levels: their personal–professional development; the relation with service users; the relation with colleagues; and their position in the organization.

Research limitations/implications
Because of its limited context, this study may lack generalisability and further research with regard to psychologists and psychiatrists, as well as perceptions from users, is desirable.

Social implications
According to this study, social change starts from a bottom-up movement and synchronously should be facilitated by top-down policy. A dialogue with academic mental health professionals seems crucial to integrate this source of knowledge. Active collaboration with peer workers and supervisors is desired as well.

Originality/value
Professionals with lived experiences play an important role in working recovery-oriented, demonstrating bravery and resilience. Having dealt with mental health distress, they risked stigma and rejections when introducing this as a type of knowledge in current mental health service culture. Next to trainings to facilitate the personal–professional process, investments in the entire organization are needed to transform governance, policy and ethics.
Consumer values, online purchase behaviour and the fashion industry: an emerging market context
Authors: Adeola Ogechi , Moradeyo Adenike Aderonke , Muogboh Obinna , Adisa Isaiah 
Published: September 2021

PurposeThis study examines consumer online purchase behaviour in the Nigerian fashion industry.Design/methodology/approachA cross-sectional study was conducted with a total useable sample size of 241 respondents contacted through on-site visitation. Descriptive and inferential statistics were used to test the influence of customer value on online purchase behaviour in the fashion industry.FindingsConsumer values are categorised into terminal (happiness, love and satisfaction) and instrumental (time-saving, price-saving discount, service convenience and merchandise assortment) values. The findings show that both values have significant influence on online consumer purchase behaviour, while fashion consciousness moderates the relationship between consumer values and online purchase behaviour.Practical implicationsOnline fashion retailers should focus on increasing the terminal and instrumental values of their products and making available goods that meet the needs of different generational cohorts in society.Originality/valueStudies have examined various factors, for example, consumer values that are determinants of consumer online purchase in the fashion industry; however, there has been limited focus on the nature of fashion and online purchasing in emerging markets, particularly those in Sub-Saharan Africa.
Caves, crevices and cooling capacity: Roost microclimate predicts heat tolerance in bats
Authors: Czenze Zenon J. , Smit Ben , van Jaarsveld Barry , Freeman Marc T. , McKechnie Andrew E. 
Published: September 2021

Abstract

The microsites that animals occupy during the rest phase of their circadian activity cycle influence their physiology and behaviour, but relatively few studies have examined correlations between interspecific variation in thermal physiology and roost microclimate. Among bats, there is some evidence that species exposed to high roost temperatures (Troost) possess greater heat tolerance and evaporative cooling capacity, but the small number of species for which both thermal physiology and roost microclimate data exist mean that the generality of this pattern remains unclear.

Here, we test the hypothesis that bat heat tolerance and evaporative cooling capacity have co‐evolved with roost preferences. We predicted that species occupying roosts poorly buffered from high outside environmental temperature exhibit higher heat tolerance and evaporative cooling capacity compared to species inhabiting buffered roosts in which Troost remains well below outside conditions.

We used flow‐through respirometry to investigate thermoregulation at air temperatures (Ta) approaching and exceeding normothermic body temperature (Tb) among six species with broadly similar body mass but differing in roost microclimate (hot vs. cool roosts). We combined these data with empirical measurements of Troost for each study population.

Hot‐roosting species tolerated Ta ~4°C higher than cool‐roosting bats before the onset of loss of coordinated locomotion and non‐regulated hyperthermia. The evaporative scope (i.e. ratio of maximum evaporative water loss [EWL] to minimum thermoneutral EWL) of hot‐roosting species (16.1 ± 2.4) was substantially higher than that of cool‐roosting species (5.9 ± 2.4). Maximum evaporative cooling capacities (i.e. evaporative heat loss/metabolic heat production) of hot‐roosting species were >2, while the corresponding values for cool‐roosting species were ≤1.

The greater heat tolerance and higher evaporative cooling capacity of hot‐roosting species compared with those occupying cooler roosts reveal variation in bat evaporative cooling capacity correlated with roost microclimate, supporting the hypothesis that thermal physiology has co‐evolved with roost preference.

A free Plain Language Summary can be found within the Supporting Information of this article.
Endorsement of stereotypes of older adults, older men, and male leaders predict expected job performance, voting stance, and voting intentions in the 2020 U.S. presidential election
Authors: Monahan Caitlin , Lytle Ashley , Inman Elizabeth , Apriceno Marybeth , Macdonald Jamie , Levy Sheri R. 
Published: September 2021

AbstractThe 2020 U.S. Presidential Election offered a unique opportunity to examine how stereotypes of older adults, older men, and male leaders impact expectations of candidate job performance and intentions to vote for Biden or Trump. This online study involved 500 college students from two universities from September 30th until November 3 (Election Day). A Biden model and a Trump model were tested for the relationships among (a) stereotypes from public discourse with (b) expectations of candidates/ presidential performance with (c) voting stance (pro‐ and anti‐Biden vs. pro‐ and anti‐Trump) and (d) intentions to vote for Biden/Trump. As expected, for the Biden model, endorsement of older adult (lesser endorsement of senile, unhealthy), male leadership (greater endorsement of assertive and collaborative, lesser endorsement of uncaring), and older male stereotypes (greater endorsement of elder statesman and family‐focused) predicted greater expectations of Biden's performance, which predicted pro‐Biden and anti‐Trump stances and ultimately voting intentions for Biden. As expected, for the Trump model, endorsement of older adult (lesser endorsement of senile), male leadership (greater endorsement of assertive, collaborative, lesser endorsement of immoral and uncaring), and older male stereotypes (greater endorsement of elder statesman) predicted greater expectations of Trump's performance, which predicted pro‐Trump and anti‐Biden stances and ultimately voting intentions for Trump. Taken together, these results suggest examining relevant categories of stereotypes associated with candidates and voting stances provides a fuller picture of voting behavior toward multiple candidates vying for office in addition to political ideology and voting intentions.
The rise of deep learning and transformations in bioactivity prediction power of molecular modeling tools
Authors: Bule Mohammed , Jalalimanesh Nafiseh , Bayrami Zahra , Baeeri Maryam , Abdollahi Mohammad 
Published: September 2021

AbstractThe search and design for the better use of bioactive compounds are used in many experiments to best mimic compounds' functions in the human body. However, finding a cost‐effective and timesaving approach is a top priority in different disciplines. Nowadays, artificial intelligence (AI) and particularly deep learning (DL) methods are widely applied to improve the precision and accuracy of models used in the drug discovery process. DL approaches have been used to provide more opportunities for a faster, efficient, cost‐effective, and reliable computer‐aided drug discovery. Moreover, the increasing biomedical data volume in areas, like genome sequences, medical images, protein structures, etc., has made data mining algorithms very important in finding novel compounds that could be drugs, uncovering or repurposing drugs and improving the area of genetic markers‐based personalized medicine. Furthermore, deep neural networks (DNNs) have been demonstrated to outperform other techniques such as random forests and SVMs for QSAR studies and ligand‐based virtual screening. Despite this, in QSAR studies, the quality of different data sources and potential experimental errors has greatly affected the accuracy of QSAR predictions. Therefore, further researches are still needed to improve the accuracy, selectivity, and sensitivity of the DL approach in building the best models of drug discovery.
Educational concerns and awareness level among dental hygiene students during the COVID‐19 pandemic
Authors: Mutluay Abidin Talha , Mutluay Merve 
Published: September 2021

AbstractObjectiveThis study aimed to evaluate the educational concerns and awareness level among dental hygiene students during the COVID‐19 pandemic.Materials and MethodsA questionnaire, created via Google Forms, was sent electronically to 240 dental hygiene students from Turkey, of which 223 replied to the survey. The questionnaire was divided into 4 parts and consisted of 24 close‐ended questions.ResultsThe main symptoms of COVID‐19 were correctly recognized by 71% of the students, and 40.2% of the students were aware of the transmission routes. Of all, 77.1% of the students expressed fear of getting infected, 96.9% believed that they would more likely get infected while performing dental procedures, and 91% believed that dental hygienists’ cross‐contamination risk was high. Furthermore, 69.5% of the students stated that their undergraduate education process was negatively affected, 59.6% appreciated ongoing online education, and 31.8% wanted face‐to‐face clinical internships.ConclusionsAlthough most of the students were aware of the transmission routes and preventive measures of COVID‐19, concerns regarding disease transmission among them remain. Students appreciated the ongoing online education and believed that face‐to‐face education is risky during this current pandemic. However, they believe that this process can adversely affect their professional knowledge and especially practical skills. A balance must be struck between sustaining an effective dental hygiene education process and containing the spread of COVID‐19.
Indispensable role of mitochondria in maintaining the therapeutic potential of curcumin in acute kidney injury
Authors: Li Ling , Liu Shuyun , Zhou Yijie , Zhao Meng , Wang Yizhuo , Wang Chengshi , Lou Peng , Huang Rongshuang , Ma Liang , Lu Yanrong , Fu Ping , Liu Jingping 
Published: September 2021

AbstractAcute kidney injury (AKI) is a serious disease for which effective therapeutic agents are required. The capacity of curcumin (CUR) to resolve renal inflammation/oxidative stress and mitochondrial damage has been reported, but crosstalk between these effects and the consequence of this crosstalk remain elusive. In this study, a hypoxia/reoxygenation (H/R)‐induced renal tubular epithelial cell (TEC) injury model and an ischaemia/reperfusion (I/R)‐induced mouse AKI model were treated with CUR with or without mitochondrial inhibitors (rotenone and FCCP) or siRNA targeting mitochondrial transcription factor A (TFAM). Changes in mitochondrial function, inflammation, the antioxidant system and related pathways were analysed. In vitro, CUR suppressed NFκB activation and cytokine production and induced NRF2/HO‐1 signalling in TECs under H/R conditions. CUR treatment also reduced mitochondrial ROS (mtROS) and mitochondrial fragmentation and enhanced mitochondrial biogenesis, TCA cycle activity and ATP synthesis in damaged TECs. However, the anti‐inflammatory and antioxidant effects of CUR in damaged TECs were markedly abolished upon mitochondrial disruption. In vivo, CUR treatment improved renal function and antioxidant protein (NRF2 and SOD2) expression and reduced oxidative stress (8‐OHdG), tubular apoptosis/death, cytokine release/macrophage infiltration and mitochondrial damage in the kidneys of AKI mice. In vitro, the anti‐inflammatory and antioxidant effects of CUR in damaged kidneys were impaired when mitochondrial function was disrupted. These results suggest mitochondrial damage is a driving factor of renal inflammation and redox imbalance. The therapeutic capacity of CUR in kidneys with AKI is primarily dependent on mitochondrial mechanisms; thus, CUR is a potential therapy for various diseases characterized by mitochondrial damage.
WI12Rhg1 interacts with DELLAs and mediates soybean cyst nematode resistance through hormone pathways
Authors: Dong Jia , Hudson Matthew E. 
Published: September 2021

SummaryThe soybean cyst nematode (SCN) is one of the most important causes of soybean yield loss. The major source of genetic resistance to SCN is the Rhg1 repeat, a tandem copy number polymorphism of three genes. The roles of these genes are only partially understood. Moreover, nematode populations virulent on Rhg1‐carrying soybeans are becoming more common, increasing the need to understand the most successful genetic resistance mechanism. Here, we show that a Rhg1‐locus gene (Glyma.18G02270) encoding a wound‐inducible protein (WI12Rhg1) is needed for SCN resistance. Furthermore, knockout of WI12Rhg1 reduces the expression of DELLA18, and the expression of WI12Rhg1 is itself induced by either JA, SA or GA. The content of the defence hormone SA is significantly lower whilst GA12 and GA53 are increased in WI12Rhg1 knockout roots compared with unedited hairy roots. We find that WI12Rhg1 directly interacts with DELLA18 (Glyma.18G040000) in yeast and plants and that double knockout of DELLA18 and its homeolog DELLA11 (Glyma.11G216500) significantly reduces SCN resistance and alters the root morphology. As DELLA proteins are implicated in hormone signalling, we explored the content of defence hormones (JA and SA) in DELLA knockout and unedited roots, finding reduced levels of JA and SA after the knockout of DELLA. Additionally, the treatment of DELLA‐knockout roots with JA or SA rescues SCN resistance lost by the knockout. Meanwhile, the SCN resistance of unedited roots decreases after the treatment with GA, but increases with JA or SA. Our findings highlight the critical roles of WI12Rhg1 and DELLA proteins in SCN resistance through interconnection with hormone signalling.
Examining the indirect effects of embodied learning on adaptability: The mediating roles of challenge stressors and psychological capital
Authors: Lee Jean S. K. , David Emily M. 
Published: September 2021

AbstractWe examined the efficacy of embodied learning for augmenting leader psychological capital—a latent construct reflecting hope, optimism, self‐efficacy, and resilience. To do so, we leveraged the literature on embodied cognition and the challenge‐hindrance stressor framework to better understand how involving both the body and mind during learning (i.e., embodied learning) can lead to heightened perceptions of challenge stressors, which then result in greater psychological capital. We also expected that higher levels of psychological capital relate to greater subsequent adaptability on the job. We tested these predictions in two quasi‐experimental field studies. Study 1 included a sample of 141 executive MBA students and Study 2 included a sample of 163 working managers. In both studies, the disembodied learning condition consisted of classroom training. The embodied learning condition included an outdoor adventure training component (including an 88 km hiking race and various team challenges) conducted in the Gobi Desert in Study 1 and in a nature park in Study 2. The results of the first study revealed that participants in the embodied learning group experienced higher post‐learning psychological capital than those in the disembodied learning group and that psychological capital mediated the relationship between learning approach and peer‐rated adaptability 6 months later. Study 2 replicated the positive relationship between embodied learning and post‐learning psychological capital and extended it by showing that challenge stressors mediated this relationship.
Germination of small tropical seeds has distinct light quality and temperature requirements, depending on microhabitat
Authors: Carvalho A. S. R. , de Andrade L. G. , de Andrade A. C. S. 
Published: September 2021

Abstract

The coexistence of plant species in tropical rainforests is related to specific abiotic resources, varying according to the occurrence microhabitat of each species. Light quality is the main abiotic factor influencing germination of small seeds; however, studies often do not discriminate its effect from that of light irradiance. This study compared specific requirements for seed germination of ten small‐seeded species, with restricted occurrence in only one of three contrasting microhabitats: forest understorey, edge of clearings and open areas.

Laboratory experiments were carried out to test temperature regime (constant or fluctuating), light quality (R:FR) and light irradiance (PAR), which reproduce high and low conditions commonly found in the microhabitats.

Seed germination of all species occurred between 20 and 30 °C, only seeds of open area species were able to germinate at 35 °C and no species required alternating temperatures to germinate. Irrespective of species and microhabitat, a decrease in the R:FR reduced the germination percentage; however, there were differences in the capacity to germinate at low R:FR. The values of R:FR50% were higher for open area and edge species (0.441–0.345) than for understorey species (0.181–0.109), with few exceptions. For all species and most of the tests, germination was not influenced by PAR.

Light quality is the most important light signal for germination of small seeds; irradiance has little effect. Our results suggest two distinct patterns of germination for small‐seeded species: open area and edge species are light‐demanding and require high R:FR to germinate, while understorey species are shade‐tolerant and germinate at low R:FR. These differences are responsible for distinct microhabitat occurrence and help to explain the coexistence of species in tropical forests.
Genetic Algorithm and Deep Learning to Explore Parametric Trends in Nucleate Boiling Heat Transfer Data
Authors: McClure Emma R. , Carey Van P. 
Published: September 2021

Abstract
Exploring parametric effects in pool boiling is challenging because the dependence of the resulting surface heat flux is often nonlinear, and the mechanisms can interact in complex ways. Historically, parametric effects in nucleate boiling processes have been deduced by fitting relations obtained from physical models to experimental data and from correlated trends in nondimensionalized data. Using such approaches, observed trends are often influenced by the framing of the analysis that results from the modeling or the collection of dimensionless variables used. Machine learning strategies can be attractive alternatives because they can be constructed either to minimize biases or to emphasize specific biases that reflect knowledge of the system physics. The investigation summarized here explores the use of machine learning methods as a tool for determining parametric trends in boiling heat transfer data and as a means for developing methods to predict boiling heat transfer. Results are presented that demonstrate how a genetic algorithm and deep learning can be used to extract heat flux dependencies of a binary mixture on wall superheat, gravity, Marangoni effects, and pressure. The results provide new insight into how gravity and Marangoni effects interact in boiling processes of this type. The results also demonstrate how machine learning tools can clarify how different mechanisms interact in the boiling process, as well as directly providing the ability to predict heat transfer performance for nucleate boiling. Each technique demonstrated clear advantages depending on whether speed, accuracy, or an explicit mathematical model was prioritized.
Numerical Study on the Dynamic Performance of Combined Sensible-Latent Heat Packed-Bed Thermocline Tank
Authors: ELSihy ELSaeed Saad , Xu Chao , Du Xiaoze 
Published: September 2021

Abstract
Thermal energy storage (TES) using thermocline technology with phase change materials (PCM) is a promising technique for peak-shaving operation in cogeneration units. One of the disadvantages of this connotation is the use of the highly cost PCM capsules in a water tank. To circumvent this issue, a new thermocline tank connotation is proposed. The tank is packed with a mixture of solid filler pills and PCMs capsules, forming a multi-layered packed-bed system. A transient concentric-dispersion model is developed to assess the dynamic performance of a solid-PCM multi-layered packed-bed (SPMLPB) tank. The influences of the PCMs volume fraction (VF) and the charge and discharge dimensionless cutoff temperatures criterion on the dynamic performance have been investigated. The results show that the VF of PCMs influences the system's behavior, in terms of both energy storage and release. As the PCMs volume fraction increases from 10% to 40%, the amount of energy storage, energy release, and latent utilization ratio increased by 82.65%, 73.94%, and 55%, respectively, while the overall exergy efficiency drops by 6.3%. Besides, increasing both the charge and discharge cutoff temperatures criterion (STch*/STdisch*) enhances the total utilization ratio and energy recovered. When STch* increases from 0.27 to 0.7, the total utilization ratio and energy recovered increased by 63.63% and 28.67%, respectively, by maintains STdisch*=0.26.