Analysis Approach Research Articles

Beyond terroir: a comparative analysis of Pinot Noir producers and business strategies in Burgundy, New Zealand and South Africa

Purpose This paper aims to examine the convergence and divergence of business and production practices in the global wine industry, particularly focusing on Pinot Noir producers in Burgundy, New Zealand and South Africa (SA). This study explores the interplay between firm-specific factors and regional contexts to identify competitive advantage drivers among Pinot Noir producers. Design/methodology/approach This research uses a comparative analysis approach, using data from a comprehensive winery level survey. This study applies methodologies akin to value chain analysis to unravel the configuration of productive and technology/knowledge creation activities within wineries across three regions. Findings This analysis reveals both convergence and divergence in business and production practices among Pinot Noir producers in Burgundy, New Zealand and South Africa. Although there is a degree of convergence in marketing, distribution and competition strategies, differences exist in production practices and firms’ capabilities. Burgundy emphasizes tradition and terroir expression, contrasting with the modernization and innovation focus observed in New Zealand and South Africa. However, all regions share a commitment to quality as a competitive advantage. Research limitations/implications This study acknowledges limitations such as the focus on a specific grape variety and regions, the absence of performance impact analysis and the need for additional variables like environmental, institutional and cultural factors and consumer preferences to provide a comprehensive understanding of industry dynamics. Practical implications The insights from this study offer practical implications for winemakers, industry stakeholders and policymakers. Producers can optimize production and marketing strategies based on regional contexts and market segments, whereas stakeholders can identify emerging trends and opportunities in the global wine market. Policymakers can develop targeted policies supporting innovation, sustainability and competitiveness. Originality/value This paper provides a unique contribution by conducting a comparative firm-level analysis across distinct wine-producing regions, shedding light on the nuanced interplay of factors shaping competitive advantage among Pinot Noir producers. This study’s comprehensive data set and methodological approach enhance understanding and offer valuable insights for industry stakeholders and policymakers.

Extending sexual scripting theory through critical discursive psychology: An analytical approach to explore the performance of sexual identities

Extending sexual scripting theory through critical discursive psychology: An analytical approach to explore the performance of sexual identities

Standard Method for Oral Health Education (OHE) Among Dental Professionals—A Mixed Analysis Approach

ABSTRACT Aim: This study aims to identify and evaluate the methods of oral health education (OHE) used by dental professionals in Chennai, India. Materials and Method: A cross-sectional survey was performed among 357 dentists to assess the standard technique for providing OHE. A 15-item questionnaire consisting of demographic variables and preferred method of OHE was distributed to the participants as Google Form. The collected data were tabulated and analyzed using descriptive analysis and analysis of variance (ANOVA). Results: Most participants (63.4%) reported the lecture method as the standard technique for delivering OHE. Among the study participants, 80% employed OHE aids, predominantly models (33.2%), pamphlets (16.8%), and AV projections (16.5%). Conclusion: The lecture method predominates among dental professionals for its perceived effectiveness and versatility. These findings underscore the importance of tailored educational strategies in oral health promotion, informed by demographic considerations and practitioner preferences, to enhance public health outcomes globally.

Enhancing ground loss rate prediction in soft-soil shield tunneling: a synergistic approach of peck back analysis and eXtreme Gradient Boosting and bayesian optimization

This study investigates the prediction of ground loss rate during soft-soil shield tunneling using Peck’s back analysis method and XGBoost model. Bayesian optimization is employed to determine optimal hyperparameters, ensuring comprehensive and efficient model tuning. The XGBoost model is compared with Random Forest (RF) and Support Vector Machine (SVM) models to benchmark its performance. The results demonstrate the superior accuracy and robustness of the XGBoost model. Also, the results show that the soil properties and the grouting factors of the excavation face affect the duration of the instantaneous settlement of the ground surface. There is a specific correlation between the depth-to-diameter ratio, the coefficient of variation in the advancing speed of the shield machine, the maximum surface subsidence, and the ground loss rate. The prediction model of the ground loss rate based on the combined approach of Peck back analysis and eXtreme Gradient Boosting and Bayesian optimization has high reliability in soft-soil layers, and this method can provide a specific reference for predicting construction risk in related projects.

A Screw Theory Approach for Instantaneous Kinematic Analysis of Parallel–Serial Manipulators

Abstract The paper presents an approach to perform an instantaneous kinematic analysis of parallel–serial (hybrid) manipulators using screw theory. In this study, we focus on non-kinematically redundant manipulators that include a single parallel mechanism. The proposed systematic procedure allows deriving Jacobian matrices for such manipulators, which provide mathematical relations between the end-effector velocities and speeds in the actuated joints. A generalized structure of the obtained matrices also reflects the constrained motions of the end-effector and the parallel mechanism. To illustrate the developed techniques, we consider three examples where we analyze three well-known parallel–serial manipulators with six, five, and four degrees-of-freedom. Following the proposed method, we determine Jacobian matrices for each manipulator. Next, we apply the presented approach for velocity analysis of a novel parallel–serial manipulator with five degrees-of-freedom. Numerical simulations validate the proposed theoretical techniques. The suggested approach represents the basis for subsequent singularity and performance analysis, and it can be adapted to hybrid manipulators with other architectures.

Changes in DNA methylation contribute to rapid adaptation in bacterial plant pathogen evolution

Adaptation is usually explained by beneficial genetic mutations that are transmitted from parents to offspring and become fixed in the adapted population. However, genetic mutation analysis alone is not sufficient to fully explain the adaptive processes, and several studies report the existence of nongenetic (or epigenetic) inheritance that can enable adaptation to new environments. In the present work, we tested the hypothesis of the role of DNA methylation, a form of epigenetic modification, in adaptation of the plant pathogen Ralstonia pseudosolanacearum to the host during experimental evolution. Using SMRT-seq technology, we analyzed the methylomes of 31 experimentally evolved clones obtained after serial passages on 5 different plant species during 300 generations. Comparison with the methylome of the ancestral clone revealed a list of 50 differential methylated sites (DMSs) at the GTWWAC motif. Gene expression analysis of the 39 genes targeted by these DMSs revealed limited correlation between differential methylation and differential expression of the corresponding genes. Only 1 gene showed a correlation, the RSp0338 gene encoding the EpsR regulator protein. The MSRE-qPCR technology, used as an alternative approach for DNA methylation analysis, also found the 2 DMSs upstream RSp0338. Using site-directed mutagenesis, we demonstrated the contribution of these 2 DMSs in host adaptation. As these DMSs appeared very early in the experimental evolution, we hypothesize that such fast epigenetic changes can allow rapid adaptation to the plant stem environment. In addition, we found that the change in DNA methylation upstream RSp0338 remains stable at least for 100 generations outside the host and thus can contribute to long-term adaptation to the host plant. To our knowledge, this is the first study showing a direct link between bacterial epigenetic variation and adaptation to a new environment.

A comprehensive review on Compton camera image reconstruction: from principles to AI innovations

AbstractCompton cameras have emerged as promising tools in biomedical imaging, offering sensitive gamma-ray imaging capabilities for diverse applications. This review paper comprehensively overviews the latest advancements in Compton camera image reconstruction technologies. Beginning with a discussion of the fundamental principles of Compton scattering and its relevance to gamma-ray imaging, the paper explores the key components and design considerations of Compton camera systems. We then review various image reconstruction algorithms employed in Compton camera systems, including analytical, iterative, and statistical approaches. Recent developments in machine learning-based reconstruction methods are also discussed, highlighting their potential to enhance image quality and reduce reconstruction time in biomedical applications. In particular, we focus on the challenges posed by conical back-projection in Compton camera image reconstruction, and how innovative signal processing techniques have addressed these challenges to improve image accuracy and spatial resolution. Furthermore, experimental validations of Compton camera imaging in preclinical and clinical settings, including multi-tracer and whole-gamma imaging studies are introduced. In summary, this review provides potentially useful information about the current state-of-the-art Compton camera image reconstruction technologies, offering a helpful guide for investigators new to this field.

Civil Liability of The Air Carrier for Errors of The Aircraft Crew in Jordanian Law

The aircraft crew bears significant responsibility as they operate the aircraft in the sky, carrying numerous duties and exercising various authorities to perform their tasks effectively. The aircraft crew is obligated to fulfill their commitments towards the air carrier. Current study addresses the issues surrounding the extent of the air carrier's liability for errors committed by the aircraft crew. These errors may be personal, technical, or administrative during flight. We used a comparative, descriptive, and analytical approach to achieve the objectives of the thesis and answer its questions, which focus on defining the obligations and authorities of the aircraft crew and determining the nature of the air carrier's responsibility for errors of the aircraft crew. The key finding of study is that the Jordanian legislator has largely held the air carrier responsible for damages resulting from errors committed by the aircraft crew. Both the air carrier and the aircraft crew share responsibility for these damages towards third parties based on solidarity and mutual assistance. It is suggested to amend the text of Article (42/C) to include detailed provisions specifying the extent of responsibility for each member of the aircraft crew, the responsibility of the aircraft commander, operator, and air carrier in the face of actions leading to harm.

Facilitators and challenges of implementing a digital patient education programme for rheumatoid arthritis into clinical practice

BackgroundThe integration of telehealth interventions into clinical practice is frequently delayed, hindering the full adoption. Previously, we developed a digital patient education (PE) programme for self-management in rheumatoid arthritis (RA). While the programme design considered crucial factors to ensure the likelihood of success in clinical practice, there is a need for a systematic evaluation of implementation perspectives. The purpose of this study was to explore perspectives crucial to implementation of a digital PE programme in clinical practice.MethodsThe non-adoption, abandonment, scale-up, spread and sustainability (NASSS) framework was used to evaluate the successes and challenges of implementing the digital PE programme. We included a data set consisting of qualitative focus group discussions involving study nurses, rheumatologists, and leaders from rheumatology departments. Data analysis was guided by a deductive content analysis approach. Further we included data from earlier studies pertaining to the programme’s implementation, comprising the programme development process, a randomized controlled trial evaluating the programme’s effectiveness, and a qualitative study exploring patients’ perspectives of the programme.ResultsFacilitators and challenges of importance to implementation of digital PE were identified. While a wide range of patients could benefit from using digital PE, future implementation should aim for an even broader group than those studied. Both patients and healthcare providers embraced the technology, and the fact that it did not require specific technical skills enhances its potential for success. However, offering digital PE should be based on individual assessments, and expanding its use will require organizational adjustments. An adaptable structure is needed to accommodate unforeseen care needs that may arise following the use of digital PE at home. There was indication of some reluctance among healthcare providers toward the programme shown by concerns about changing roles, which could impact the adoption of the program.ConclusionsThe design and ease of use of the technology, the program’s effectiveness, its availability, and the potential to release healthcare resources may encourage the implementation of digital patient education. Challenges associated with implementing this mode of care pertains to the condition and the patient population, user adoption of the technology, and the organization of patient education.Trial registrationThe study is registered by the Central Denmark Region Scientific Committee (no. 1-16-02-52-19).

A scientometrics review of conventional and soft computing methods in the slope stability analysis

Predicting slope stability is important for preventing and mitigating landslide disasters. This paper examines the existing approaches for analyzing slope stability. There are several established conventional approaches for slope stability analysis that can be applied in this context. However, in recent decades, soft computing methods has been extensively developed and employed in stochastic slope stability analysis, notably as surrogate models to improve computing efficiency in contrast to traditional approaches. Soft computing methods can deal with uncertainty and imprecision, which may be quantified using performance indices like coefficient of determination, in regression and accuracy in classification. This review study focuses on conventional methods such as the Bishop’s method and Janbu’s method, as well as soft computing models such as support vector machine, artificial neural network, Gaussian process regression, decision tree, etc. The advantages and limitations of soft computing techniques in relation to conventional methods have also been thoroughly covered in this paper. The achievements of soft computing methods are summarized from two aspects—predicting factor of safety and classification of slope stability. Key potential research challenges and future prospects are also given.

Enhancing patient-provider encounters when proposing SDF therapy by utilizing a qualitative analysis of parental feedback

PurposeSilver Diamine Fluoride (SDF) is a minimally invasive option for caries arrest, part of a paradigm shift in the management of pediatric dental caries. The perspective of parents regarding the long-term pros and cons of this therapy should be understood in order to achieve optimal patient-centered care.MethodsThis study used Constant comparative analysis as an analytic approach, applying the Precaution-Adoption Process Model (PAPM) as the Grounded Theory framework in the qualitative analysis of 30 parental unformatted, spontaneous comments collected at the end of a questionnaire to evaluate their satisfaction with treatment provided at a University Clinic.ResultsOur analysis provided important insights about the factors that influenced the parents’ decision to act and have their child receive SDF therapy, their perception of the outcomes, the necessary follow-ups after the therapy, and what impacted on their overall satisfaction with the completed procedure. Both positive and negative themes were identified. The positive themes point to SDF treatment's ease of application and addressing the immediate treatment needs on children with limited cooperation. The negative themes identified the adverse consequences of SDF treatment, specifically, the duration and appearance of the cosmetic consequences, as well as the parents’ misunderstandings and incorrect expectations of the long-term sustainability of the treatment, which in many instances requires further interventions. It was also evident from the parents’ comments that they needed additional educational guidance on other aspects of the treatment, such as the necessity for clinical follow-ups, information that impacted parents’ overall satisfaction with the treatment their child received.ConclusionOur results highlight the need to discuss the short and long term benefits of the treatment, as well as, its short and long-term limitations. Specifically, while it is important to discuss immediate outcomes and consequences, such as the ease of treatment and the resultant staining, to ensure that parental consent for the treatment is truly well-informed, it is also important to prepare parents, when this procedure is initially proposed, of the likely need for additional oral care interventions in the future.

Navigating Transnational Separation and Reunification: Resilience in Low-Income Chinese Immigrant Mothers

AbstractThe present study examines the experience of low-income Chinese immigrant mothers managing the reunification process with their young children after a prolonged transnational separation—either due to reverse migration separation (children born in the US but sent to live in China, then returned to the US later) or serial migration (the mother came to the US first, and the children followed years later). Grounded in a feminist family therapy and resilience framework, this qualitative study aims to understand the mothers’ experience through a strength-based perspective and a cultural lens. A phenomenological approach was used in this study to obtain qualitative data from interviews with nine Chinese immigrant mothers. Data were analyzed using the deductive approach of thematic analysis. Results highlighted mothers’ resilience in providing for the families’ needs, utilizing familial and community support, and their strategies to overcome adversities and parenting challenges. The participants demonstrate motivation to improve their children’s well-being by utilizing a range of public, school, and community resources and support from other Chinese parents. Areas where these mothers still needed support were also identified. Lastly, implications for clinical service with Chinese immigrant families are discussed.

Fouad AlKhatib’s Poetry in the Saudi Era: Between Historical Moment and Poetical Moment

The research introduces Fouad Al-Khatib and his later poetry during his Saudi era. It clarifies what is meant by “historical moment”, “poetical moment” and “the aesthetic moment” through studying the relationship between these moments in the Saudi poetry of Fouad Al-Khatib to determine how each of them affect the other. A preliminary thematic classification of Al-Khatib’s Saudi poems is provided to show the aesthetic effects of these moments in the artistic construction of the poem; since the idea of the research is based on the collaboration of history and poetry, or let us say: history and art, it looks at this part of the poetry assuming its validity to represent a time period and a spatial extent. “Place” is a highly regarded component of Fouad Al-Khatib’s poetry which deserves to be considered carefully, to understand its impact on the artistic construction of the poem. Indeed, it give a deserved attention to the study of Arabic poetry in the Arabian Peninsula, past and present. Because the place - any place - is fixed, even if its meaning changes, or its form changes; while time, on the other hand, is variable, so it is made dependent on space, because the dimensions of space are multiple, and time has one dimension. In order to reach a relevant result, we raise a number of questions: Did the historical theme present in Al-Khatib’s Saudi poetry refer to history or to poetry? Or mixes them? Is it possible for Al-Khatib’s Saudi poetry to be classified objectively in a way that reveals its merits? How does the language of spatial relations create concepts of place in his poetry? How did he create an imagined existence? How time and space were combined in his poetry to express his aesthetics through a specific poem? The research methodology is based on tracking and investigating the Saudi poetry of Fouad Al-Khatib only. The analytical textual approach based on the artistic vision is considered the most useful in conducting research. To achieve our goals of revealing the aesthetic effects. It has been found that the effectiveness of the historical moment and the poetical moment appears through: relying on it, recalling it, exaggerating it, generalizing it. It was also possible to discover the netting thread of Alkatib’s Saudi poetry, which is represented by the idea of “unity and renaissance” with multiple purposes. Even if the place is real, it has an imagined existence that emerges through the language of spatial relationships. Time and place were united in forming an aesthetic image that has its own characteristics through an analytical model of Al-Khatib’s poetry.

Gravitational production of heavy particles during and after inflation

We investigate the gravitational production of a scalar field χ with a mass exceeding the Hubble scale during inflation mχ ≳ HI, employing both analytical and numerical approaches. We demonstrate that the steepest descent method effectively captures the epochs and yields of gravitational production in a compact and simple analytical framework. These analytical results align with the numerical solutions of the field equation. Our study covers three spacetime backgrounds: de Sitter, power-law inflation, and the Starobinsky inflation model. Within these models, we identify two distinct phases of particle production: during and after inflation. During inflation, we derive an accurate analytic expression for the particle production rate, accounting for a varying Hubble rate. After inflation, the additional burst of particle production depends on the inflaton mass around its minimum. When this mass is smaller than the Hubble scale during inflation, HI, there is no significant extra production. However, if the inflaton mass is larger, post-inflation production becomes the dominant contribution. Furthermore, we explore the implications of gravitationally produced heavy fields for dark matter abundance, assuming their cosmological stability.

Design and experimental validation of an aspheric multi-lenticular plano-convex lens for VCSEL beam collimation

In this work, we propose a design method of an aspheric lens that achieves collimation for a VCSEL laser beam. The designed lens features a planar front surface and an aspheric back surface of which the profile is mathematically characterized and precisely determined based on the proposed method. The method is derived from a basic geometric-optics analysis and construction approach. The collimating effect of the lens was first analyzed in simulation and then validated in experimental measurement. The experimental results show that the collimator lens transforms the input VCSEL laser beam divergence angle from 25° (436.33 mrad) to an output angle of 3.6906 mrad.

Understanding Network Meta‐Analysis: A Practical Introduction for Nurses

ABSTRACTAimsThis paper examines network meta‐analysis (NMA) as a methodological advancement in nursing research and discusses considerations for interpreting and applying NMA results in clinical practice.Design and MethodsMethodological discussion.ResultsThe NMA method simultaneously evaluates multiple interventions by combining direct and indirect evidence. The publication of NMA articles in nursing journals has been increasing. However, interpreting NMA results can be complex and challenging. In this paper, we outline the prerequisites and assumptions of NMA, provide a graphical representation, discuss effect estimation and quality of evidence and give an overview of applying NMA results in clinical practice.ConclusionNMA is a valuable analytical approach in nursing research that can provide high‐level evidence to guide clinical decision‐making. Accurate interpretation of NMA findings is necessary to inform clinical practice. This paper serves as an introduction to NMA for nurses unfamiliar with the approach.Implications for the ProfessionNMA is a powerful statistical technique for assessing the relative effectiveness of different nursing interventions and informing evidence‐based nursing guidelines. When interpreting the results, nurses should consider the certainty of evidence and the practical value of the results and be cautious of misleading conclusions.ImpactNMA is a recent analytical method in nursing research. This practical introduction seeks to enhance comprehension of NMA and the interpretation and application of NMA findings in clinical practice. NMA is a robust statistical technique to assess the relative effectiveness of various nursing interventions.Reporting MethodIn the methodological discussion guide, no new data was generated. A hypothetical dataset was used.Patient or Public ContributionThis methodological paper contributes to understanding NMA and interpreting its results, integrating it into clinical practice, and improving patient outcomes.

Effectiveness of supplementary antimicrobial procedures in disinfecting lateral canals as evaluated by a novel ex vivo analytical approach

This ex vivo study devised an analytical ex vivo method for infection/disinfection of simulated lateral canals located in the middle and apical segments of the root. The antibacterial effects of supplementary approaches were tested in this model. Extracted mandibular premolars had their main root canals enlarged and then two lateral canals (100 μm in diameter) were created in the root, one in the apical and the other in the middle portion. Micro-computed tomography was used for specimen selection and to confirm the quality of the simulated ramifications. The specimens were contaminated with a mixed bacterial culture from subgingival bacterial biofilm added to pure Enterococcus faecalis strain ATCC 29212 grown overnight, using special strategies to facilitate culture medium penetration within the lateral canals. The following procedures were tested for disinfection: NaOCl/passive ultrasonic irrigation (PUI), NaOCl/XP-endo Finisher, ozonated water/continuous ultrasonic irrigation (CUI), and NaOCl/conventional irrigation with 30-G needles (control). Bacteriological samples were taken from the main canal before (S1) and after (S2) each supplementary protocol, and also from each lateral canal after treatment (S3). DNA extracted from the samples was subjected to quantitative real-time polymerase chain reaction. All S1 main canal samples were positive for bacterial presence. Bacterial counts in the main root canal substantially decreased by 99.2% after PUI, 99.1% after ozone/CUI, 99% after XP-endo Finisher, and 96% in the control group (P < 0.01 for all groups). There were no significant differences between groups (P > 0.05). The same was observed when comparing the effects of the supplementary approaches in the apical and middle lateral canals (P > 0.05). Only a few lateral canals showed no detectable bacteria. The method proposed here proved effective for ex vivo infection/disinfection studies. All supplementary approaches induced a substantial bacterial reduction in the main canal, with no significant differences between them. However, in terms of lateral canal disinfection, none of the tested approaches showed significant effects when compared to the control group.

Examining the Relationship Between Social Support, Self-Efficacy, Diabetes Self-Management, and Quality of Life Among Rural Individuals With Type 2 Diabetes in Eastern China: Path Analytical Approach

Background Patients with type 2 diabetes (T2D) in rural China frequently exhibit inadequate diabetes self-management (DSM) and a reduced quality of life (QoL). Social support and self-efficacy are known to influence DSM and QoL. However, the pathways through which social support and self-efficacy impact DSM and QoL among patients with T2D in rural China has yet to be fully elucidated. Objective This study offers a foundation for developing policies in rural chronic disease management, thereby, contributing to the improvement of T2D prevention and control in China and other transitional countries. Methods This study used a cross-sectional design, collecting data from a survey conducted between May and July 2021 on DSM and QoL among rural patients diagnosed with T2D in 2 townships in East China. All patients with T2D were enrolled through cluster sampling from the township health center database, and a questionnaire survey was administered by investigators. Structural equation modeling and multiple regression analyses were used to explore the pathways through which social support influences DSM and QoL, as well as the mediating role of self-efficacy. Results It was found that the DSM score (mean 37.42, SD 7.70) was less than half of the maximum theoretical score. The QoL score (mean 48.92, SD 8.88) accounted for 36% of the maximum theoretical score. Social support directly and positively affected the DSM and QoL of Chinese rural patients with T2D (P&lt;.01); an increase of 1 unit in social support was associated with a direct increment of 0.339 units in DSM and 0.397 units in QoL. Self-efficacy played a positive mediating role (P&lt;.01), further increasing DSM and QoL by 0.147 and 0.159 units, respectively. The mediating effect of self-efficacy accounted for 30.2% and 28.6% of the total effect of social support on DSM and QoL. Furthermore, the family and friend dimension of social support, along with the symptom and disease management dimensions of self-efficacy, were significantly associated with DSM or QoL (P&lt;.01). Conclusions The study confirmed the direct and indirect influences of social support on DSM and QoL and elucidated the mediating effect of self-efficacy among rural patients with T2D in eastern China. Interventions should be developed to enhance both social support and self-efficacy, creating a positive cycle of mutual reinforcement to improve DSM and QoL among this group.

Understanding mental health help-seeking and stigma among Hungarian adults: A network perspective.

Hungarians exhibit more negative attitudes toward help-seeking for mental health problems compared to other European countries. However, research on help-seeking in Hungary is limited, and it is unclear how stigma relates to help-seeking when considering demographic and clinical characteristics. We used a network analytic approach to simulate a stigma model using hypothesized constructs in a sizable sample of Hungarian adults. Participants were 345 adults recruited from nine primary care offices across Hungary. Participants completed self-report measures assessing public stigma, self-stigma, experiential avoidance (EA), attitudes toward seeking professional psychological help, anxiety, depression, demographics, prior use of mental health services, and whether they have a family member or friend with a mental health condition. EA and anxiety were the most central nodes in the network. The network also revealed associations between greater EA with greater public stigma, anxiety, depression, and having a family member or friend with a mental health condition. More positive attitudes toward seeking help were associated with lower self-stigma, public stigma, and having received psychological treatment in their lifetime. Being female was associated with lower income, higher education, and having received psychological treatment in their lifetime. Finally, having a family member or friend with a mental health condition was associated with having received psychological treatment in their lifetime and greater public stigma. The strength centrality and associations of EA with clinical covariates and public stigma implicate its importance in stigma models. Findings also suggest that while some aspects of existing stigma models are retained in countries like Hungary, other aspects may diverge.

EXPRESS: From Stars to Dogs – Identifying “Out-Of-Favor” Products on E-Commerce Platforms? Data Analytic Approach to System Design

Online retail platforms are increasingly challenged by the proliferation of low-quality products, which may damage their reputation and sales. To address this problem, we propose a system architecture to proactively identify products that are likely to go "out of favor". Our approach uses historical data to extract useful information from customer ratings and textual reviews. Available data are fed into a state-of-the-art deep learning sequence model to forecast future ratings. We then analyze rating trends, extracting hyperparameters that a binary classifier uses to label products as "out of favor" or not. We tested this system on an Amazon dataset comprising nearly 800,000 observations across 2,826 electronics products. Our results show that the Long Short-Term Memory (LSTM) model excels in forecasting future product ratings compared to other benchmarks. Ablation analysis shows sentiment-related features significantly improve rating forecasts by up to 40%, with review topics adding 10% and other review characteristics 4%. Counterintuitively, topic extraction from reviews does not provide substantial benefits, despite the heavy computational resources it requires. Finally, the two-stage classification process, which leverages time-series data and rating trends, offers a more stable and robust performance than conventional single-stage methods. We provide considerations for system architecture development through robustness checks ensuring its resilience to stressors. Our experiments indicate that rating trends can change in subtle ways over time, leading a promising “star” product to turn into a liability (“dog”). E-commerce platforms can use the proposed system architecture proactively to identify and remove potentially dubious products instead of waiting to take reactive action.