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The invasion of minors’ online privacy has become increasingly prevalent in recent years. Examining the disclosure and protection behaviours of minors about online privacy provides a theoretical basis for the development of educational activities aimed at safeguarding minors’ privacy. This study utilised visual analysis tools and content analysis of literature to systematically map out the research hotspots and evolution in this field. The findings revealed that (1) research in this area is thriving and interdisciplinary, (2) existing studies primarily focus on minors aged 12–18 and their active privacy disclosure behaviour in social media and other scenarios, as well as key influencing factors, (3) these studies not only examine the influence of minors themselves but also the influence of parents and peers on minors’ online privacy behaviours, and (4) most minors adopt avoidance strategies such as privacy settings and alternative websites to protect their online privacy. Further research could expand the research context, resolve controversial factors, use multiple methods, and explore additional privacy behaviours. This literature review plays a crucial role in generating academic discourse and provides valuable insights for developing privacy protection policies tailored to minors. [ABSTRACT FROM AUTHOR]

Context: Our world is characterized by a dynamic landscape of variations, complexities, uncertainties, and ambiguities (VUCA). These elements manifest in various domains, including politics, economics, communication, information, science, and research, all of which significantly impact our lives. It is crucial for policymakers and managers to adopt a forward-thinking approach to comprehend these VUCA elements and their implications for the future. The future will undoubtedly differ from the present and the past. However, humans possess an inherent desire to understand and anticipate the future, particularly in the face of uncertainty. Therefore, exploring and understanding the future is not just a curiosity, but a necessity. Futures Studies can serve as a valuable tool in this context, enabling us to efficiently leverage opportunities and resources to navigate the chaotic environment. Review studies play a pivotal role in this process by reviewing existing work and synthesizing knowledge in a specific field. This study aims to collate findings related to the key concepts of Futures Research, thereby contributing to our collective understanding and preparation for the future. [ABSTRACT FROM AUTHOR]

1. Works by Shaw1.1 New Editions and Reprints21.2 Digitized Editions Available Online32. Books, Journals, Pamphlets, and Other Scholarly Media43. News and Play Reviews4. Dissertations and Selected Theses5. Recordings and Other Media56. MiscellanyBy Gustavo A. Rodríguez MartínReported by Author [Extracted from the article]

Significant poverty levels raise critical questions about the impact of poverty eradication programs. Literature reviews play a critical role in highlighting impactful and ineffective socio-economic approaches. This article presents a review of nine qualitative studies that were reported between 2006 and 2013 in poor urban, semi-rural, and rural communities in South Africa. The main goal of this paper is to describe how low-income communities were impacted by programs to reduce poverty. Themes on strength-based interventions, participation, and holistic-multidimensional approaches, emerge from the content analysis as the best account of the impact of community-based poverty eradication programs. Due to the qualitative nature of the small sample of studies under review, a thematic synthesis of the qualitative data provides baseline evidence for further research to assess progress in the provision of development programs, and to generate more insight to strengthen evidence-informed approaches to address persistently high rates of poverty. [ABSTRACT FROM AUTHOR]

This text reviews a science play that has emerged from a collaboration between performing artists and scientists based in Lund, Sweden. It argues that the play, titled The Right Way, can productively be understood as 'science metatheater'. Thus, it belongs to a genre which knowingly and self-ironically brings the viewer's attention to the staged nature of the theater performance. As such, science metatheater moves beyond placing 'science on stage'. Instead, it seeks to place science theater itself on stage. By doing so, it front-stages the challenges of 'Sci-Arts' collaborations between scientists and artists, in which competing concerns – aesthetic, epistemological and communicational – may come into conflict with each other. [ABSTRACT FROM AUTHOR]

This study assesses the use of population pharmacokinetics (PopPK) in supporting pediatric dosing of novel biological drug products. The labeling for biologic drug products approved by the US Food and Drug Administration (FDA) from 2002 until 2021 was reviewed to identify those with a pediatric indication. For the drugs with a pediatric indication, the dosing regimen(s) based on age groups, dosing strategy, the use of PopPK to support the dose, and the types of pediatric clinical trials were reviewed. Data were collected from FDA's review documents and product labels on the Drugs@FDA website, and as needed, more clinical trial details were collected from PubMed and clinicaltrials.gov. The role of PopPK analyses in dosing was captured when mentioned in the label or review as playing a role in selecting the approved pediatric dose and/or in verifying the adequacy of the studied dose to support labeling. Between 2002 and 2021, FDA approved 169 biological products, and 78 of 169 (46%) products have an approved indication for which the label contains dosing recommendations for pediatric use. For the 78 products approved in pediatrics, there was a total of 180 clinical trials that included pediatric patients. Phase 3 pediatric trials commonly supported pediatric approval and dosing for the reviewed products (64%, 50/78 products; 56.1%, 101/180 trials). PopPK analyses were reported to play a critical role in dose selection, prediction, and verification for 40 of the 78 products (51%), including informing pediatric dosing in the absence of pediatric data (e.g., drugs approved under animal rule), comparing exposures to the exposure range observed in adults, and informing alternative dosing strategies in certain age or body weight groups. PopPK analyses have been applied in a variety of ways to inform pediatric dosing and support extrapolation from adult data or other pediatric age groups for biologics. Understanding and learning from these past cases on the use of pharmacometrics tools to support pediatric dosing of biological products can inform future pediatric development programs. [ABSTRACT FROM AUTHOR]

Hospitalization might be a threatening and frightening experience for children. Anxiety is one of the psychological stresses that children encounter during hospitalization. The aims of this research were to explore play therapy as an intervention in minimizing anxiety among children during hospitalization. A scoping review design with a systematic search was conducted on ResearchGate, PubMed, Google Scholar, and ScienceDirect from the year 2013-2023 following the PRISMA guidelines. The keywords used in English are (Anxiety) AND (Children) AND (Hospitalization) AND (Play Therapy). The chosen articles were based on qualifying criteria. The National Institutes of Health used for Quality Assessment Tool. A sum of 25,395 articles were referred to by the keywords from the year 2013-2023. Records were n=2,856 after eliminating any unnecessary records (n=22,539). After 2,137 duplicate data were deleted and 721 records are examined for titles, abstracts, and eligibility using full-text articles records were n=73 only records that did not match eligibility have been tracked down were n=648. Nevertheless, the following causes led to the exclusion of full-text articles (n=65): it is not children population, review articles, and included for citation. Finally, this review included 8 studies in synthesizing. Play therapy has a significant effect on minimizing anxiety and further study on systematic review and meta-analysis to evaluate the effectiveness of play therapy among children during hospitalization. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to systematically review scientific research on sustainability in the event industry to understand the current state of affairs and provide a roadmap for future studies. By combining the topics of the event industry and sustainability, it aims to thematically analyze the scientific literature in this area. Design/methodology/approach: This study analyzed 1,710 studies in the Web of Science (WoS) database as of June 1, 2024. The keywords "event industry" and "sustainability" were used to search for academic articles, review articles, and conference proceedings. The data were analyzed geographically, thematically, and temporally. Cross-national research contributions, document types, researcher profiles, and interdisciplinary relationships were examined in detail. Findings: The analysis shows that sustainability is an increasingly important issue in the events industry, with countries such as the USA, China and Australia leading the way. Most research is in the form of articles, with conference proceedings and reviews playing an important role. There is a particular concentration in categories such as "management," "hospitality, leisure, sport and tourism" and "sustainability science." Even during the pandemic, there has been a significant increase in research activity, underscoring the importance of this topic on a global scale. Researchers have made significant scientific contributions in this area. These interdisciplinary studies have revealed important intersections between environmental sustainability and event management. Originality/value: This study provides a comprehensive overview of the current state of research on the event industry and sustainability, illustrating the interdisciplinary nature of the field and the geographical distribution of research activity. A systematic review of the literature consolidates the body of knowledge in this field and provides directions for future research. This study highlights the need for more in-depth and comprehensive research on sustainability, and provides an important framework for strengthening the links between event management and sustainability. [ABSTRACT FROM AUTHOR]

This study conducts a bibliometric analysis of online customer and hotel review research, aiming to provide insights into where each field comes from, stands now and ought to go in the future. In particular, this study examines how the existing research on online customer reviews can benefit future hotel review research. Data collected from Web-of-Science and Scopus created an expanded network of 797 core articles and 19,374 citations to identify intellectual structures, developing trends, and future research gaps. This study offers a visual overview of journals, institutions, countries, research themes and authors to assess the overall directions hotels can take. It underscores the necessity for rigorous and relevant research amid the proliferation of online reviews and emphasises the imperative for academia to bridge the gap between theoretical insights and practical applications within the dynamic tourism industry. This study provides researchers and industry professionals with useful tools to understand and deal with the complexities of online reviews. It also highlights the important role these reviews play in shaping the future of tourism strategies. [ABSTRACT FROM AUTHOR]

Cilia are widely present in metazoans and have various sensory and motor functions, including collection of particles through feeding currents in suspensivorous animals. Suspended particles occur at low densities and are too small to be captured individually, and therefore must be concentrated. Animals that feed on these particles have developed different mechanisms to encounter and capture their food. These mechanisms occur in three phases: (i) encounter; (ii) capture; and (iii) particle handling, which occurs by means of a cilia‐generated current or the movement of capturing structures (e.g. tentacles) that transport the particle to the mouth. Cilia may be involved in any of these phases. Some cnidarians, as do other suspensivorous animals, utilise cilia in their feeding mechanisms. However, few studies have considered ciliary flow when examining the biomechanics of cnidarian feeding. Anthozoans (sessile cnidarians) are known to possess flow‐promoting cilia, but these are absent in medusae. The traditional view is that jellyfish capture prey only by means of nematocysts (stinging structures) and mucus, and do not possess cilia that collect suspended particles. Herein, we first provide an overview of suspension feeding in invertebrates, and then critically analyse the presence, distribution, and function of cilia in the Cnidaria (mainly Medusozoa), with a focus on particle collection (suspension feeding). We analyse the different mechanisms of suspension feeding and sort them according to our proposed classification framework. We present a scheme for the phases of pelagic jellyfish suspension feeding based on this classification. There is evidence that cilia create currents but act only in phases 1 and 3 of suspension feeding in medusozoans. Research suggests that some scyphomedusae must exploit other nutritional sources besides prey captured by nematocysts and mucus, since the resources provided by this diet alone are insufficient to meet their energy requirements. Therefore, smaller particles and prey may be captured through other phase‐2 mechanisms that could involve ciliary currents. We hypothesise that medusae, besides capturing prey by nematocysts (present in the tentacles and oral arms), also capture small particles with their cilia, therefore expanding their trophic niche and suggesting reinterpretation of the trophic role of medusoid cnidarians as exclusively plankton predators. We suggest further study of particle collection by ciliary action and its influence on the biomechanics of jellyfishes, to expand our understanding of the ecology of this group. [ABSTRACT FROM AUTHOR]

Online reviews have become an important source of information for consumers, significantly influencing their purchasing decisions. However, the abundance and variety of review formats, especially the mix of text, image, and video elements, can lead to information overload and hinder effective decision-making. This study investigates how different review formats and their combinations affect the perceived helpfulness of reviews. We develop a comprehensive framework to analyze the interactions between text, image, and video elements and their impact on the helpfulness of reviews. We collect and code 8693 online reviews from JingDong Mall Mallacross six product categories, including both experience products and search products, and use multiple regression analysis to test our hypotheses. Our results show that textual review elements significantly increase review helpfulness. However, their effectiveness decreases as the amount of information increases, indicating cognitive overload. Text reviews are more prone to contribute to information overload, while visual elements such as images and videos generally do not contribute to information overload in the coexistence of text, image, and video reviews. Imagery components have a minimal effect on review helpfulness. Video elements are relatively short, which may not be sufficient to convey useful information. We also find that the impact of review formats varies between experience products and search products, and that star ratings moderate the alignment of textual or imagery components with consumer expectations. We conclude that the hybrid of text, image, and video elements in online reviews plays a crucial role in shaping consumer decision-making and information overload. Our research contributes to the literature on online reviews and information overload while providing practical implications for online retailers, review platforms, and consumers to optimize review formats, star ratings, and product types to facilitate informed purchase decisions. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Online reviews play a significant role in shaping consumer purchase decisions. Accordingly, emergence of fake reviews has proliferated as an instrument to manipulate customers' buying preferences. Such manifestation, however, lacks theoretical grounding and remains under researched due to two notable challenges: first, absence of conceptual underpinnings between consumers' writing style and recommendation behavior. Second, little knowledge about the role of product characteristics underlying fake reviews and their influence on nudging product preferences. Through the lens of environmental psychology, this study uses an empirical investigation utilizing natural language processing (NLP) to uncover latent product-specific features underlying customer reviews and their impact on persuading buying preferences. As a major finding, we observe that characteristics underlying fake reviews, as opposed to genuine ones, fail to influence product recommendation or discouragement. Accordingly, we suggest firms permitting fake reviews on their portals to be aware of the limited economic advantages of such practices. [ABSTRACT FROM AUTHOR]

In e-commerce, customer reviews play an important role in influencing the decisions made by customers. Before making a purchase, many people read positive customer reviews because they can offer useful information to potential buyers and increase their overall level of trust in the product. Positive customer reviews also help a store look more credible However, what happens to business actors is not as expected, so consumers act in bad faith by making bad judgments in marketplace product reviews. The purpose of this study is to analyze the good faith of business actors and how it impacts the law established by the Consumer Protection Law. This study uses a normative legal research study whose findings show that consumers are not liable for criticism that harms business entities, in accordance with the Consumer Protection Law (UUPK). In particular, Article 5a requires consumers to pay special attention to product descriptions listed in stores. [ABSTRACT FROM AUTHOR]

As an essential information resource, online reviews play an important role in consumers’ decision-making processes. To solve the product ranking problem through online reviews, two important issues are involved: sentiment analysis (SA) for online reviews and product ranking based on multi-criteria decision-making (MCDM) methods. However, merely a few studies have considered the impact of SA accuracy, which can significantly affect the final decision-making process. This paper proposes a novel data-driven method for ranking products through online reviews based on interval type-2 fuzzy sets (IT2FSs) and SA. In this method, after acquiring online reviews, the explicit and implicit attributes are extracted from the website itself and the latent Dirichlet allocation (LDA) model, respectively. Thereafter, a deep learning model is adopted to identify the five sentiment intensities of online reviews, based on which the SA results are represented as IT2FSs by considering the classification effect. After type-reduction for IT2FSs, the ranking order is obtained based on the exponential TODIM (ExpTODIM) method. Furthermore, a case study on ranking travel products from Trip.com Group through online reviews is provided to illustrate the effectiveness and applicability of the proposed method. [ABSTRACT FROM AUTHOR]

In e-commerce, online reviews play a vital role in understanding customer requirements. Companies can perform analysis of these reviews to make right business decisions. However, manually analyzing the content generated by each user on social media is challenging due to its high volume and frequency. Sentiment analysis (SA) is a Natural Language Processing (NLP) technique which provides an automated solution to this problem. It is a challenging subtask of text classification. Over a long time, researchers have proposed different approaches to solve it. This paper proposes an unsupervised learning approach using transformer architecture to perform SA on women's clothing e-commerce dataset which is imbalanced in nature. In this study, we have fine-tuned DistilBERT, a cutting-edge transformer based pre-trained model and developed models for two subtasks of SA named as Sentiment Classification (SC) and Product Recommendation (PR). The proposed models have achieved the highest F1 scores (0.79 for SC and 0.85 for PR), AUC scores (0.98 for SC and 0.96 for PR) along with the highest accuracy of 0.96 for SC and 0.91 for PR. We found that the performance of our models is least affected by imbalanced dataset issues. The results show that the proposed models have significantly outperformed the traditional supervised approaches and various other existing state-of-the-art (SOTA) models. This study can contribute to a better understanding of consumer sentiment and consumer psychology in the e-commerce transaction business. [ABSTRACT FROM AUTHOR]

Review of: Optimizing Play: Why Theorycrafting Breaks Games and How to Fix It, Christopher A. Paul (2024) Cambridge, MA: The MIT Press, 189 pp., ISBN 978-0-26237-833-8, e-book [ABSTRACT FROM AUTHOR]

In response to calls for greater alignment between the peacebuilding and human rights pillars of the United Nations, this article considers what role the Universal Periodic Review might play in supporting the implementation of peace agreements, particularly the human rights components contained within them. In identifying possible contributions alongside existing challenges, this paper calls into question the benefits associated with engaging human rights mechanisms in the complex business of peacebuilding and suggests some moderate adjustments that could support the UPR's role in contributing to peace. [ABSTRACT FROM AUTHOR]

In today's world of internet marketing product review plays a crucial role. Often E-Commerce companies are accused of manipulating with the data and it suffers from biasing. Biasing leads to wrong customer's view creation thereby prediction for a top rating product fails. This study shows how crowd annotation prevents this biasness and thereby design a smart contract which ultimately will help to eliminate the data manipulation. The smart contract is deployed and tested to see if data can be saved in the run time storage memory regions of the Ethereum blockchain, and the test results are positive. In future this will help to get the unbiased data and better machine learning results, which will ultimately be beneficial for the economy. [ABSTRACT FROM AUTHOR]

Copyright of Zeitschrift für Bankrecht und Bankwirtschaft is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mobile apps have become essential components of our daily lives, seamlessly integrating into routines to fulfill communication, productivity, entertainment, and commerce needs, with their diverse range categorized within app stores for easy user navigation and selection. User reviews and ratings play a crucial role in app selection, significantly influencing user decisions through the interplay between feedback and quantified satisfaction. The emphasis on energy efficiency in apps, driven by the limited battery lifespan of mobile devices, impacts app ratings by potentially prompting users to assign low scores, thereby influencing the choices of others. In this study, the presence of energy consumption issues within widely-used popular apps that have high app ratings and user interaction has been investigated through the analysis of user reviews. It is anticipated that popular apps, with high ratings, are less problematic than other apps. User reviews were collected from 32 apps across 16 diverse categories and subsequently filtered based on specific keywords. From the resulting pool of 14,064 user reviews, 8,007 reviews were manually identified as specifically addressing the app's energy consumption. The results of the study demonstrate that all 32 popular apps under consideration exhibit issues related to energy consumption. While the frequency of energy-related issues may vary, it is evident that users are concerned about app energy consumption, as evidenced by the reception of complaint reviews regarding their energy usage. App energy efficiency is important to users, including popular apps with diverse features, necessitating developers to address expectations and optimize for energy efficiency. Improving the energy efficiency of apps has the potential to enhance user satisfaction and, consequently, contribute to the overall success of the app. [ABSTRACT FROM AUTHOR]

Robust, relevant, comprehensive, and up-to-date evidence syntheses are the cornerstone for evidence-informed healthcare decisions. When considering multiple treatment options, network meta-analysis (NMA) systematic reviews play a key role in informing impactful decisions and clinical practice guidelines. However, the capacity and literacy to conduct NMA systematic reviews and interpret its results remains out of reach for many clinicians and review authors, especially in low-to-middle-income countries. Despite ample resources and guides, NMA capacity and training opportunities remain limited to non-existent in Sub-Saharan Africa. Towards solutions and strengthening evidence synthesis and NMA capacity in the Sub-Saharan African region, we describe and reflect on two courses that build NMA capacity and aim to address NMA literacy in Sub-Saharan Africa. The Primer in NMA systematic reviews aimed for participants to be able to find, appraise, interpret, and consider the use of NMA SRs of intervention effects. It is a 6-week online course for clinicians, policy-makers, and researchers wanting to learn more about using NMA systematic reviews. The Global NMA Masterclass workshop aimed for participants to be able to understand and apply pairwise and NMA in STATA and R, evaluate NMA assumptions and confidence in NMA results, and appropriately report NMA results. This course was offered over 5 weeks to clinicians, biostatisticians, and researchers with basic knowledge of epidemiology and biostatics. Although the bulk of learning occurred through self-study, we had weekly, synchronous question-and-answer sessions for both courses. Using relevant examples throughout the courses helped to enable an authentic learning environment. This was the first NMA training developed in Africa for Africa. Development of the courses was a collaborative effort from a multi-disciplinary team. Both NMA courses were well received and attended by a diverse group of participants spread across Sub-Saharan African countries. Participants felt the courses were applicable to their setting. Although most participants appreciated the benefits of online learning, we also experienced some challenges. There is great potential to conduct NMA systematic reviews in Sub-Saharan Africa. The NMA Primer and NMA workshop can play an essential role in expanding and developing NMA SR capacity and literacy in SSA. [ABSTRACT FROM AUTHOR]

Systematic reviews play a crucial role in evidence-based practices as they consolidate research findings to inform decision-making. However, it is essential to assess the quality of systematic reviews to prevent biased or inaccurate conclusions. This paper underscores the importance of adhering to recognized guidelines, such as the PRISMA statement and Cochrane Handbook. These recommendations advocate for systematic approaches and emphasize the documentation of critical components, including the search strategy and study selection. A thorough evaluation of methodologies, research quality, and overall evidence strength is essential during the appraisal process. Identifying potential sources of bias and review limitations, such as selective reporting or trial heterogeneity, is facilitated by tools like the Cochrane Risk of Bias and the AMSTAR 2 checklist. The assessment of included studies emphasizes formulating clear research questions and employing appropriate search strategies to construct robust reviews. Relevance and bias reduction are ensured through meticulous selection of inclusion and exclusion criteria. Accurate data synthesis, including appropriate data extraction and analysis, is necessary for drawing reliable conclusions. Meta-analysis, a statistical method for aggregating trial findings, improves the precision of treatment impact estimates. Systematic reviews should consider crucial factors such as addressing biases, disclosing conflicts of interest, and acknowledging review and methodological limitations. This paper aims to enhance the reliability of systematic reviews, ultimately improving decisionmaking in healthcare, public policy, and other domains. It provides academics, practitioners, and policymakers with a comprehensive understanding of the evaluation process, empowering them to make well-informed decisions based on robust data. [ABSTRACT FROM AUTHOR]

This paper aims to explore the ethical issues which arise with the employment of the performance or viewing of drama as a therapeutic process for ‘mental illness’. Looking into two case studies, this piece concentrates on the use of drama therapy along an axis of risk which balances patient safety and potential benefits. As this is a vast area of practice, this paper chooses to focus on the performance and viewing of Greek tragedy as a ‘complementary therapy’. In the public and academic psyche, Greek tragedy has held a prominent place in artistic explorations of ‘mental ill-health’ and thus it is unsurprising that it has been a point of origin for drama therapy. Reviewing the content of the plays, the settings of their modern performances, and the ‘ideology’ behind such performances will enable this paper to highlight some of the greater issues concerning the ethical implications of these examples of drama therapy. Citing performances from the 1950s to the present day, we will explore the competing risks to individuals that come with using ancient Greek drama as a potential means of therapy. [ABSTRACT FROM AUTHOR]

Users can interact with the advertisements and share their impressions through the review system on short video applications. However, spammers may post false or malicious comments to mislead normal users due to profit-driven reasons, damaging the community's positive atmosphere. In this paper, we introduce a new challenge of spammer detection on short video applications, where the multi-modal information of videos and reviews plays a more critical role than the spam relation graph. Then we propose SPAM-3 , a novel baseline to detect SPAM reviews with M ulti- M odal representation using attentive heterogeneous graph convolution. Our approach balances multi-modal representation fusion and graph relation extraction, enabling fine-grained interaction and generating discriminative features for the spammer classification task. We describe the methodology of dataset construction in detail and reveal the statistical properties of the collected dataset. SPAM-3 outperforms the former baseline models on both private and public benchmarks. Furthermore, we conduct comprehensive ablations and analyses to demonstrate our method. • Introducing a new challenge of spammer detection on short video applications. • Spammer detection data collecting and labeling. • Using heterogeneous graph to fuse multi-modal information and spam relation graph. • Outperforming former baseline models on the collected dataset. [ABSTRACT FROM AUTHOR]

Copyright of Acotaciones: Investigación y Creación Teatral is the property of Real Escuela Superior de Arte Dramatico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Itinerarios (1507-7241) is the property of University of Warsaw and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article analyses the first female Hamlet in the Nordic countries, Elli Tompuri (1880–1962). Early in her career Tompuri made a name for herself at the Finnish National Theatre, but later, in part due to her radical politics, was unable to find permanent employment at any established theatre so she began touring with her own company, putting on Hamlet in 1913. The article traces Tompuri's inspirations and thoughts about the play, before analysing the major themes raised in the reviews. On one hand, reviewers noted with some pride the national significance of the first female Hamlet. On the other hand, Tompuri's status as a New Woman, an actor-director-manager making her own way, generated a wide range of opinions, from outrage that a woman would attempt the part to admiration of Tompuri's genius and intelligence, often within a single review. [ABSTRACT FROM AUTHOR]

Purpose: Recent research suggests that more than two-thirds of people use online reviews to find a new primary care physician (PCP). However, it is unclear what role review content plays when a patient uses online reviews to decide about a new PCP. This paper aims to understand how a review's content, related to competence (communication and technical skills) and benevolence (fidelity and fairness), impacts patients' trusting intentions to select a PCP. The authors build the model around information diagnosticity, construal level theory and valence asymmetries and use review helpfulness as a mediator and review valence as a moderator in this process. Design/methodology/approach: The authors use two experimental studies to test their hypotheses and collect data through prolific. Findings: The authors find that people have a harder time making inferences about the technical and communication skills of a PCP. Reviews about fidelity are perceived as more helpful and influential in building trust than reviews about fairness. Overall, reviews about the communication skills of a PCP have stronger effects on trusting intentions than other types of reviews. The authors also find that positive reviews are perceived as more helpful for the readers than negative reviews, but negative reviews have a stronger impact on patients' trust intentions than positive ones. Originality/value: The authors identify how online reviews about a PCP's competency and benevolence affect patients' trusting intentions to choose the PCP. The implication of findings of this study for primary medical practice and physician review websites is discussed. [ABSTRACT FROM AUTHOR]

Football's video assistant referee (VAR) system is based on the assumption that reviewing plays on a screen refines precision and accuracy, resulting in fairer calls. The system thus reinforces ocularcentrism, the Western, modernist, rationalist thinking that privileges sight over other senses. Based on Turkey, I investigate the stakes involved in reinforcing and the conceptual opportunities opened in challenging these assumptions. The VAR system's ocularcentrism, as foreshadowed by televisation, creates an ocular mode separate from that of the field by muting it and visually dissecting its plays. This leads to "false transparency" along with novel relations and socialities between referees, VARs and players. As such, rather than carrying referees to objectively based or clean moments of fairness, the VAR process in fact identifies the complex socialness of fairness itself. [ABSTRACT FROM AUTHOR]

This study investigates sentiment analysis in Google Play reviews of the PeduliLindungi application, focusing on the integration of negation handling into text preprocessing and comparing the effectiveness of two prominent methods: CNN-Word2Vec CBOW and CNN-Word2Vec SkipGram. Through a meticulous methodology, negation handling is incorporated into the preprocessing phase to enhance sentiment analysis. The results demonstrate a noteworthy improvement in accuracy for both methods with the inclusion of negation handling, with CNN-Word2Vec SkipGram emerging as the superior performer, achieving an impressive 76.2% accuracy rate. Leveraging a dataset comprising 13,567 comments, this research introduces a novel approach by emphasizing the significance of negation handling in sentiment analysis. The study not only contributes valuable insights into the optimization of sentiment analysis processes but also provides practical considerations for refining methodologies, particularly in the context of mobile application reviews. [ABSTRACT FROM AUTHOR]

Consumers are choosing to purchase food products from retailers through online channels rather than brick‐and‐mortar channels. While online reviews play a crucial role in influencing online purchases, scant work has examined how consumers write reviews for food products. We argue that the nutritional value of the food is a key aspect of product performance and apply expectation‐disconfirmation theory to examine whether pre‐purchase expectations about a food product's nutritional value and disconfirmation of these expectations have a significant effect on online review content and linguistic characteristics. Using text‐mining approaches to analyze Amazon data, we find that pre‐purchase expectations, postpurchase performance, and disconfirmation regarding nutritional value affect both review content and linguistic characteristics, including review length, diversity, readability, subjectivity, and sentiment. While research suggests that postpurchase product performance is the main influence on online review writing behavior, this research shows that the pre‐purchase phase also plays a key role. [ABSTRACT FROM AUTHOR]

Copyright of Journal on Masculinities & Social Change / Masculinidades y Cambio Social is the property of Journal on Masculinities & Social Change / Masculinidades y Cambio Social and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Consumers often rely on the peer reviews to make smart purchase decisions in the face of new experience products. Such information is also available to firms, which can help them learn about consumers' purchase intention and hence better deal with the tripartite price–quality–demand relationship. In this study, we develop a two‐period model to examine the impact of online reviews on product quality and price decisions. The market is characterized by the two‐dimensional heterogeneity of customer valuation and their willingness to pay for quality. Interestingly, we find that the informativeness of reviews plays different roles in firm–consumer interactions depending on the market's average willingness to pay (AWTP). Such informativeness exerts an information value‐added on both the firm and consumers in a high‐AWTP market and a negative impact in a low‐AWTP market. These two effects respectively induce consumers to purchase more in the high‐AWTP market while expel consumers from the market in the low‐AWTP market. We also compare the price path and quality level under commitment pricing and dynamic pricing both with and without informativeness, the results of which show that the information inducing effect changes the marketing strategies for new products. Furthermore, we present the conditions on which the firm should strive to disclose its quality information and explore the difference of firms' decisions in monopoly and competitive market. [ABSTRACT FROM AUTHOR]

Copyright of Religación: Revista de Ciencias Sociales y Humanidades is the property of Religacion: Revista de Ciencias Sociales y Humanidades and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Product reviews play a crucial role in providing valuable insights to consumers and producers. Analyzing the vast amount of data generated around a product, such as posts, comments, and views, can be challenging for business intelligence purposes. Sentiment analysis of this content helps both consumers and producers gain a better understanding of the market status, enabling them to make informed decisions. In this study, we propose a novel hybrid approach based on deep neural networks (DNNs) for sentiment analysis in product reviews, focusing on the classification of sentiments expressed. Our approach utilizes the recursive neural network (RNN) algorithm for sentiment classification. To address the imbalanced distribution of positive and negative samples in social network data, we employ a resampling technique that balances the dataset by increasing samples from the minority class and decreasing samples from the majority class. We evaluate our approach using Amazon data, comprising four product categories: clothing, cars, luxury goods, and household appliances. Experimental results demonstrate that our proposed approach performs well in sentiment analysis for product reviews, particularly in the context of digital marketing. Furthermore, the attentionbased RNN algorithm outperforms the baseline RNN by approximately 5%. Notably, the study reveals consumer sentiment variations across different products, particularly in relation to appearance and price aspects. [ABSTRACT FROM AUTHOR]

The Intergovernmental Panel on Climate Change (IPCC) maintains a fine balance between scientific credibility and policy-relevance. The IPCC's review process plays an important role in ensuring that this takes place. This paper looks at the review process of the Summary for Policymakers of the Special Report on Global Warming of 1.5 Degrees (SR15) published in 2018. We apply a framework for the making of policy-relevant knowledge – that of salience, legitimacy, and credibility – to investigate the acts of knowledge selection, and conflicts over what constitutes policy-relevant knowledge on climate change. We find that knowledge is shaped through discussions surrounding the themes of scope, communication, framing, and IPCC procedures and evidence, and that these themes were articulated in different ways in relation to salience, credibility and legitimacy. Our analysis shows how the practices of salience, legitimacy and credibility interact with each other in the making of policy-relevant knowledge. In particular we see that a focus on credibility and salience, whilst central may take place at the expense of legitimacy. Overall we see that this interplay in the review was important in shaping the story of the SR15, and the knowledge that gets included in the final SPM. • This paper explores the role of review in the IPCC 1.5 degrees Special Report. • The practices of salience, legitimacy and credibility shape the story the report tells. • Decisions made referring to scope, communication, framing, IPCC procedure/evidence. • Reviewers and authors play role in shaping report, but authors maintain final choice. • Choices made considering salience and credibility are common, at expense of legitimacy. [ABSTRACT FROM AUTHOR]

Copyright of Turcology Research is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Indonesia is battling the COVID-19 pandemic. One of the government's strategies to break the virus's transmission chain is to track digital contacts in Indonesia using the PeduliLindungi application. The Google Play comment section is where users can express their opinions about the app. User opinions discovered on Google Play can be used to perform sentiment analysis and quality evaluation. The Naïve Bayes classification can be used to identify how user opinions contain positive, neutral, or negative sentiments in user reviews of the PeduliLindungi app on Google Play. The p and Laney p' charts can be used for quality evaluation. Laney p' control chart is an attribute chart used to monitor the proportion of defects with large and varied sample sizes. The data used in this study is from April 1, 2020, to March 31, 2022. According to the sentiment analysis results of user reviews of the PeduliLindungi app on Google Play, there are more negative reviews than positive classes. The classification accuracy has an Area Under Curve (AUC) value of 89.05%. This result shows that the test data has good classification. The monitoring results using p and Laney p' charts based on ratings and user reviews of the PeduliLindungi app show that the processes are still not statistically controlled. These findings indicate that the app developer still needs to make improvements. [ABSTRACT FROM AUTHOR]

The Journal of Seismology expresses gratitude to the scientists and experts who volunteered their time and effort to review manuscripts for the journal from January 2023 to December 2023. The reviewers play a crucial role in maintaining the high quality of scientific journals by assisting editors in making decisions and helping authors improve their papers. The journal acknowledges the paramount role of peer reviewing in ensuring that only innovative and high-quality papers are published. The list of reviewers is provided in the document, and any errors or omissions are apologized for. The publisher remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can play a significant role in such cases, as implicit ratings can be derived from the reviews using sentiment analysis, a natural language processing technique. However, most current studies calculate the implicit ratings by simply aggregating the scores of all sentiment words appearing in reviews and, thus, ignoring the elements of sentiment degrees and aspects of user reviews. This study addresses this issue by calculating the implicit rating differently, leveraging the rich information in user reviews by using both sentiment words and aspect-sentiment word pairs to enhance the CF performance. It proposes four methods to calculate the implicit ratings on large-scale datasets: the first considers the degree of sentiment words, while the second exploits the aspects by extracting aspect-sentiment word pairs to calculate the implicit ratings. The remaining two methods combine explicit ratings with the implicit ratings generated by the first two methods. The generated ratings are then incorporated into different CF rating prediction algorithms to evaluate their effectiveness in enhancing the CF performance. Evaluative experiments of the proposed methods are conducted on two large-scale datasets: Amazon and Yelp. Results of the experiments show that the proposed ratings improved the accuracy of CF rating prediction algorithms and outperformed the explicit ratings in terms of three predictive accuracy metrics. [ABSTRACT FROM AUTHOR]

Mann Ki Baat (MKB), the public engagement programme run by All India Radio since 2014, is an innovative approach to engagement between the political leadership and the citizens. The program has seen wide acclaim and has provided enormous audience to the Indian Prime Minister. The program can be accessed over various platforms.This paper looks at the various themes covered over the 80 episodes of the programme across its eight-year span. It reviews the role played by the program in bringing developmental challenges to the fore and sensitising Indian citizens towards them. Various sources of secondary data and literature from scholarly as well as news media have been consulted.The different themes and impacts of the programme are analysed using visualisation methods are used to underline the salient aspects of the programme. This study confirms that the program has leveraged the re-invigorated interest in radio in the last two decades with popularisation of FM. It has also been made popular through information campaigns on social media platforms, news outlets such as print and television. It has been successfully used as a tool for public engagement.Finally, the paper also looks at the relevance of these topics with the developmental challenges of the Delhi NCR area specific to the urban poor. [ABSTRACT FROM AUTHOR]

Peer review plays an essential role as one of the cornerstones of the scholarly publishing system. There are many initiatives that aim to improve the way in which peer review is organized, resulting in a highly complex landscape of innovation in peer review. Different initiatives are based on different views on the most urgent challenges faced by the peer review system, leading to a diversity of perspectives on how the system can be improved. To provide a more systematic understanding of the landscape of innovation in peer review, we suggest that the landscape is shaped by four schools of thought: The Quality & Reproducibility school, the Democracy & Transparency school, the Equity & Inclusion school, and the Efficiency & Incentives school. Each school has a different view on the key problems of the peer review system and the innovations necessary to address these problems. The schools partly complement each other, but we argue that there are also important tensions between them. We hope that the four schools of thought offer a useful framework to facilitate conversations about the future development of the peer review system. [ABSTRACT FROM AUTHOR]

Literature reviews can play a pivotal role in designing urban policies. Here we introduce two tools used by public health specialists to assess the quality of studies and quantify the evidence derived from them: the Risk of Bias Assessment (RoB) and Evaluation of Certainty of Evidence (ECE). The RoB scores articles on several domains (e.g., selection bias, study design, etc.) to provide an appraisal of how rigorous the study is, whereas the ECE tool provides a framework to clearly state how much certainty there is in the outcomes under study. Both tools can be used to enhance literature review articles in urban planning to better inform practitioners on how to best develop policies using a rigorous approach. [ABSTRACT FROM AUTHOR]

Copyright of Iustitia is the property of Universidad Santo Tomas, Bucaramanga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article focuses on the absurd mini-narratives in John Ruganda's three plays--The Burdens (1972), Black Mamba (1973) and Shreds of Tenderness (2001)--whose intertwining struggles communicate the desire for progress among the characters even as reality consigns them to regression. This article argues that the progress or regression in the three plays stems from omissions and commissions because the actions and inactions of the characters in the three plays determine their destinies. Sharp contrasts/paradoxes/absurdities stare with precision in the faces of the main characters whose embrace of Eurocentric cultures such as monogamy and capitalism have made them fail to coexist. Jean-Francois Leotard's postmodernist theoretical ideas of mini-narratives are key here to unravelling this glaring paradox. Lyotard theorised that 'Grand Narratives' of progress and human perfectability are no longer tenable, and the best we can hope for is a series of 'mininarratives', which are provisional, contingent, temporary, and relative and which provide a basis for the actions of specific groups in particular local circumstances. This article contends that the strivings of the characters in the selected plays under review come to naught, thus the absurd reality inherent in the condition of the characters. This article thus surmises that art and reality are conjoined twins in the selected plays and the characters' actions enable this researcher to make a commentary on the human condition. [ABSTRACT FROM AUTHOR]

The conclusion to this reviews section reflects on the role that reviews play in the sub-discipline of conflict studies, and – from this vantage point – it takes stock of the reviews section in Civil Wars since its inception. We find that the reviews section to date both reflects and to some extent reproduces hierarchies and power dynamics that are well-recognised in the academy. With this in mind, we have set out a proposal for 'reviews, otherwise', including several new review types intended to further cultivate critical reflection and engagement while also opening the reviews section to new and different perspectives. [ABSTRACT FROM AUTHOR]

There is a lack of understanding about displaced children's experiences of places and play in the field of children's geographies and built environment. This paper contributes to emerging knowledge in the fields of displacement, place and play by summarising and identifying gaps in the existing evidence regarding displaced children's experiences of place in temporary and/or informal settlements, or in new environments. The scoping review deployed a combination of search terms related to displacement (displaced, informal settlement, temporary settlement, refugee) and themes related to place and play (child friendly places/spaces, experience of place, place attachment). A total of 1001 studies were identified from ScienceDirect and Proquest, with 33 studies included in the review. From the limited number of relevant studies, it was found that place attachment provides a sense of stability amidst change, contributes to wellbeing and identity, and supports the cognitive, physical and social development of displaced children. Overall, play and opportunities for play can help children to adapt to a new place following displacement. The review concludes that more research is needed to explore displaced children's experience of place in both their original and new environment, as well as comparing the experiences of place for 'placed' and 'displaced' children. [ABSTRACT FROM AUTHOR]