scholarly journals The Infinite Wardrobe: Female Consumers’ Value Perceptions Regarding Collaborative Consumption of Apparel

2021 ◽  
Vol 16 (2) ◽  
pp. 150-170
Author(s):  
Kübra Sirkeci ◽  
Esra Arıkan
Keyword(s):  
Early Stage ◽  
Empirical Support ◽  
Apparel Industry ◽  
Collaborative Consumption ◽  
Female Consumers ◽  
Need For Uniqueness ◽  
Value Perceptions ◽  
Consumption Practices ◽  
Potential Factors ◽  
Underlying Mechanisms

Abstract Understanding the potential factors and underlying mechanisms to engage in collaborative consumption practices has become a significant concern for academics and practitioners. However, collaborative consumption research is still considered in its early stage; thus, further research is needed. Based on this need, this study extends existing research by providing empirical support for the importance of value perceptions and empathy on female consumers’ attitudes and behavioral intentions to engage in collaborative consumption in the apparel industry. This study also shows a significant moderating effect for materialism and the need for uniqueness in the collaborative consumption of apparel. These findings are believed to be particularly valuable in contributing to the broader literature on collaborative consumption and guiding, especially practitioners, to develop strategic tactics for motivating consumers to engage in collaborative consumption practices.

scholarly journals EEG Fractal Analysis Reflects Brain Impairment after Stroke

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 592
Author(s):  
Maria Rubega ◽  
Emanuela Formaggio ◽  
Franco Molteni ◽  
Eleonora Guanziroli ◽  
Roberto Di Marco ◽  
...  
Keyword(s):  
Early Stage ◽  
Brain Activity ◽  
Phase 1 ◽  
Behavioral Changes ◽  
Stroke Survivors ◽  
Eeg Signals ◽  
Novel Treatments ◽  
Fractal Measures ◽  
Underlying Mechanisms ◽  
Random Fluctuations

Stroke is the commonest cause of disability. Novel treatments require an improved understanding of the underlying mechanisms of recovery. Fractal approaches have demonstrated that a single metric can describe the complexity of seemingly random fluctuations of physiological signals. We hypothesize that fractal algorithms applied to electroencephalographic (EEG) signals may track brain impairment after stroke. Sixteen stroke survivors were studied in the hyperacute (<48 h) and in the acute phase (∼1 week after stroke), and 35 stroke survivors during the early subacute phase (from 8 days to 32 days and after ∼2 months after stroke): We compared resting-state EEG fractal changes using fractal measures (i.e., Higuchi Index, Tortuosity) with 11 healthy controls. Both Higuchi index and Tortuosity values were significantly lower after a stroke throughout the acute and early subacute stage compared to healthy subjects, reflecting a brain activity which is significantly less complex. These indices may be promising metrics to track behavioral changes in the very early stage after stroke. Our findings might contribute to the neurorehabilitation quest in identifying reliable biomarkers for a better tailoring of rehabilitation pathways.

scholarly journals Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alieh Gholaminejad ◽  
Yousof Gheisari ◽  
Sedigheh Jalali ◽  
Amir Roointan
Keyword(s):  
Iga Nephropathy ◽  
Regulatory Network ◽  
Target Genes ◽  
Expression Profiles ◽  
Gene Signature ◽  
Gene Expression Omnibus ◽  
Integrative Approach ◽  
Potential Factors ◽  
Ngf Signaling ◽  
Underlying Mechanisms

Abstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN. Methods Datasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape. Result “GSE25590” (miRNA) and “GSE73953” (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with “Innate immune system”, “Apoptosis”, as well as “NGF signaling” pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN. Conclusion Integration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.

scholarly journals Dissociable mechanisms for diverse prosocial behaviors: Counting skills predict sharing behavior, but not instrumental helping

2021 ◽  
Author(s):  
Sifana Sohail ◽  
Nadia Chernyak ◽  
Kristen Dunfield
Keyword(s):  
Numerical Cognition ◽  
Developmental Trajectories ◽  
Empirical Support ◽  
Helping Behavior ◽  
Preschool Age ◽  
Prosocial Behaviors ◽  
Theoretical Perspectives ◽  
Helping Others ◽  
Underlying Mechanisms ◽  
Sharing Behavior

By the preschool age, children exhibit a diversity of prosocial behaviors that include both sharing resources and helping others. Though recent work has theorized that these prosocial behaviors are differentiated by distinct ages of emergence, developmental trajectories and underlying mechanisms, the experimental evidence in support of the last claim remains scant. The current study focuses on one such cognitive mechanism - numerical cognition - seeking to replicate and extend prior work demonstrating the strong link between children’s numerical cognition and precise sharing behavior, and further examining its relationship to instrumental helping. In line with theoretical perspectives favoring the differentiation of varieties of prosocial behaviors, we hypothesize that numerical cognition underlies precise sharing, but not precise helping behavior. Eighty-five 3 to 6-year-old children completed two procedurally similar tasks designed to elicit sharing and instrumental helping behavior, in addition to a Give-N task measuring their symbolic counting skills. Despite the procedural similarity, and the implicit norm of providing half (5 out of 10) stickers in both tasks, children’s counting proficiency predicted precise sharing, but not precise helping. These results indicate a unique relationship between children’s developing numerical cognition and behavioral fairness, providing empirical support for claims that varieties of prosocial behavior are supported by distinct underlying mechanisms.

scholarly journals Phosphorylation of Msx1 promotes cell proliferation through the Fgf9/18-MAPK signaling pathway during embryonic limb development

2020 ◽  
Vol 48 (20) ◽  
pp. 11452-11467
Author(s):  
Yenan Yang ◽  
Xiaoli Zhu ◽  
Xiang Jia ◽  
Wanwan Hou ◽  
Guoqiang Zhou ◽  
...  
Keyword(s):  
Cell Proliferation ◽  
Limb Development ◽  
Early Stage ◽  
Control Cell ◽  
Cell Lineage ◽  
Mapk Signaling ◽  
Mitogen Activated Protein Kinase ◽  
Mitogen Activated Protein ◽  
Embryonic Limb ◽  
Underlying Mechanisms

Abstract Msh homeobox (Msx) is a subclass of homeobox transcriptional regulators that control cell lineage development, including the early stage of vertebrate limb development, although the underlying mechanisms are not clear. Here, we demonstrate that Msx1 promotes the proliferation of myoblasts and mesenchymal stem cells (MSCs) by enhancing mitogen-activated protein kinase (MAPK) signaling. Msx1 directly binds to and upregulates the expression of fibroblast growth factor 9 (Fgf9) and Fgf18. Accordingly, knockdown or antibody neutralization of Fgf9/18 inhibits Msx1-activated extracellular signal-regulated kinase 1/2 (Erk1/2) phosphorylation. Mechanistically, we determined that the phosphorylation of Msx1 at Ser136 is critical for enhancing Fgf9 and Fgf18 expression and cell proliferation, and cyclin-dependent kinase 1 (CDK1) is apparently responsible for Ser136 phosphorylation. Furthermore, mesenchymal deletion of Msx1/2 results in decreased Fgf9 and Fgf18 expression and Erk1/2 phosphorylation, which leads to serious defects in limb development in mice. Collectively, our findings established an important function of the Msx1-Fgf-MAPK signaling axis in promoting cell proliferation, thus providing a new mechanistic insight into limb development.

scholarly journals Exploring the Motives for Online Fashion Renting: Insights from Social Retailing to Sustainability

2020 ◽  
Vol 12 (18) ◽  
pp. 7610
Author(s):  
Stacy H. Lee ◽  
Ran Huang
Keyword(s):  
Reasoned Action ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Collaborative Consumption ◽  
Personal Innovativeness ◽  
Price Consciousness ◽  
Structure Equation Modeling ◽  
Consumption Practices ◽  
Fashion Consciousness ◽  
Holistic Research

Despite the exponential growth of collaborative consumption practices, online fashion renting, an important type of collaborative fashion consumption, is still underexplored. Drawing on the theories of Reasoned Action (TRA) and Innovation Diffusion, we developed a holistic research framework to explore the motives for online fashion renting. By analyzing a total of 300 usable responses collected by a research market company using structure equation modeling (SEM), we found that attitudes and subjective norms positively influenced consumers’ intentions to engage with online fashion rental services. Moreover, we found that environmental awareness also had a significant influence on attitudes toward fashion renting through online platforms, and that relative advantage, amplified by personal innovativeness and fashion consciousness, also positively influenced consumers’ attitudes toward online fashion renting. Interestingly, price consciousness did not contribute to relative advantage.

scholarly journals Perceiving the Classical Cadence

2012 ◽  
Vol 31 (5) ◽  
pp. 397-417 ◽  
Author(s):  
David Sears ◽  
William E. Caplin ◽  
Stephen McAdams
Keyword(s):  
Music Theory ◽  
Empirical Support ◽  
Pivotal Role ◽  
Formal Context ◽  
Experimental Setting ◽  
Tonal Music ◽  
Classical Style ◽  
Keyboard Sonatas ◽  
Rhetorical Features ◽  
Underlying Mechanisms

This study explores the underlying mechanisms responsible for the perception of cadential closure in Mozart’s keyboard sonatas. Previous investigations into the experience of closure have typically relied upon the use of abstract harmonic formulæ as stimuli. However, these formulæ often misrepresent the ways in which composers articulate phrase endings in tonal music. This study, on the contrary, examines a wide variety of cadential types typically found in the classical style, including evaded cadences, which have yet to be examined in an experimental setting. The present findings reveal that cadential categories play a pivotal role in the perception of closure, and for musicians especially, ratings of the cadential categories provide empirical support for a model of cadential strength proposed in music theory. A number of rhetorical features also affect participants' ratings of closure, such as formal context, the presence of a melodic dissonance at the cadential arrival, and the use of a trill within the penultimate dominant. Finally, the results indicate that expertise modulates attention, with musicians privileging bass-line motion and nonmusicians attending primarily to the soprano voice.

scholarly journals Customer Perception towards Internet Selling Platforms through Opinion Mining

2020 ◽  
Vol 9 (1) ◽  
pp. 861-865
Keyword(s):  
Sentiment Analysis ◽  
Opinion Mining ◽  
Service Providers ◽  
Ease Of Use ◽  
Good Service ◽  
Collaborative Consumption ◽  
Customer Perception ◽  
Customer Perceptions ◽  
Consumption Practices ◽  
Day By Day

Online selling applications are becoming popular day by day. Customers of these applications find them easy to use, convenient, reliable, and quick at fetching responses. The number of such applications are growing in number by each passing year. There is also growing competition to win customers from each of the operating applications. Sometimes customers get confused by the variety of offers given by these applications. This study has looked at the customer perceptions towards two popular online selling applications namely, OLX and Quikr through the lens of sentiment analysis. Sentiment analysis is a way to capture the sentiments of customers using various analytical software. This study has used Python to do the analysis. The results of the study point out that one of the applications is favored by customers because they have experienced good service through it compared to the other application. The results show that customers value good service at all times and they develop a trust towards the service provider providing better value for money. The managers of the online selling applications should make an effort towards giving confidence to the users about the ease of use of the apps, its reliability, safety and security features, etc. The economy is moving towards adopting more of collaborative consumption practices and the future for such applications looks very promising. The study is relevant in the current times because customer perceptions towards online selling service providers can contribute to the very survival of these kind of applications and hence it is necessary to capture the same.

scholarly journals Potential Factors for Prediction of Disease Severity of COVID-19 Patients

2020 ◽  
Author(s):  
Huizheng Zhang ◽  
Xiaoying Wang ◽  
Zongqiang Fu ◽  
Ming Luo ◽  
Zhen Zhang ◽  
...  
Keyword(s):  
Disease Severity ◽  
Clinical Symptoms ◽  
Early Stage ◽  
Medical Center ◽  
Demographic Data ◽  
Contributing Factors ◽  
Global Epidemic ◽  
Potential Factors ◽  
Critical Patients ◽  
Blood Specimens

AbstractObjectiveCoronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed.MethodsIn this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed.ResultsA total of 43 COVID-19 patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9±9.4 vs 44.4±15.9) and had higher incidence in co-infection with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 (IL6), IL10, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin (ALB) was remarkably lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB and IL6 were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 patients.ConclusionAge and the levels of ESR, D-D, ALB and IL6 are closely related to the disease severity of COVID-19 patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 patients in early stage, so as to increase the survival of severe patients.

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