Popular Trend Research Articles

Americans in Pursuit of an Age-Friendly Retirement Haven in Mexico

ABSTRACT International retirement migration is becoming an increasingly popular trend as older adults seek a more age-friendly place to spend their golden years. In light of this under-studied but increasingly popular phenomenon, this research provides distinctive insights into the challenges and benefits for retirement migration. Using a qualitative design, this study examines the lived experiences of 20 non-Hispanic white retirees (mean age = 72) residing in the Lake Chapala Area (LCA) of the Mexican state of Jalisco. Data from a semi-structured questionnaire produced themes associated with acculturation, an affordable lifestyle, a nostalgic social environment, volunteering opportunities, a healthy aging lifestyle, access to medical services, and residential permanency. Findings indicate that participants were highly satisfied with their migration decision including the welcoming and friendly local culture, an affordable lifestyle, access to quality health care, and the many opportunities to remain physically and socially active. With the passage of time most retirees in our sample were prone to shift their attachments to the LCA with plans of making this destination their forever home. The findings demonstrate the importance of aging in a place of choice and the spatial experiences linked to an age-friendly retirement community.

Anthocyanins from pomegranate peel (Punica granatum), chili pepper fruit (Capsicum annuum), and bougainvillea flowers (Bougainvillea spectabilis) with multiple biofunctions: Antibacterial, antioxidant, and anticancer

BackgroundNatural colorants, including natural pigments, e.g., anthocyanins, carotenoids, and chlorophylls, in novel and attractive food matrixes have become a popular trend. They impart favorite colors to food products and provide significant therapeutic effects. This study is aimed at extracting and identifying some natural pigments from different plant sources and evaluating their ability as antibacterial, antioxidant, and anticancer activities. MethodsThe anthocyanin-rich extract (ARE) is derived from three natural plant sources: pomegranate peel (Punica granatum), chili pepper fruit (Capsicum annuum), and Bougainvillea flowers. Bougainvillea spectabilis are analyzed for biochemical composition, as well as antioxidant, antibacterial, and anticancer activity, HPLC, DPPH, FRAP, disc diffusion assay, MIC, MTT, VEGFR‐2, and caspase-9 assays. ResultsAll three extracts had varying total phenolic contents, ranging from 14 to 466 mg GAE/g extract, where Punica granatum was the highest (466 mg GAE/g extract), followed by Bougainvillea spectabilis (180 mg GAE/g extract), and then Capsicum annuum (14 mg GAE/g extract). The antioxidant activity rose steadily with raising concentration. The ARE of pomegranate peels recorded highest value, followed by Bougainvillea flowers and chili pepper fruit. The MTT assay revealed an inhibitory action of the tested extracts on the proliferation of HCT-116, MCF-7, and HepG2 in a concentration-based manner. Gene expression of caspase-9 transcripts was considerably multiplied by the application of ARE of pomegranate peels. All the tested extracts inhibited VEGFR-2, and the inhibition (%) expanded gradually with increasing concentrations, achieving the highest value (80 %) at 10 μg/mL. The ARE of pomegranate peels scored highest antibacterial activity, followed by ARE of chili pepper fruit and Bougainvillea flowers. The inhibition zone diameter escalated gradually with rising concentrations of the tested samples. ConclusionThe AREs of the three studied plant sources can be used as multifunctional products with antioxidant, anticancer, and antibacterial activities that are natural, safe, and cheap.

METHODS OF DESIGNING EMBROIDERED PRODUCTS IN THE PROCESS OF TECHNOLOGICAL EDUCATION OF STUDENTS

The article shows the popularity trend of folk art items as an expression of national and cultural heritage in modern society. It was established that the process of designing products of applied art contributes to the development of aesthetic perception, creative abilities, and artistic taste of students; attention is focused on the practicality of teaching schoolchildren to create decorative and useful products; the need for the technology teacher's readiness to implement this component in the process of training students has been proven; the use of educational material on design and production of embroidered decorative and applied arts in technology lessons was analyzed. The purpose of the article is to highlight the methodology of designing embroidered products in the process of design and technological activity of students in the lessons of labor training and technology. The article uses such research methods as the analysis of scientific publications, textbooks and manuals, methodical materials, programs, and normative materials regarding the issues of the methodology of teaching embroidery to students in the process of technological education. The article substantiates that teaching students to design and produce embroidered products can be an exciting and creative process that requires a certain methodology and includes all stages of students' design and technological activities in technological education. The effectiveness of the design of embroidered products in institutions of general secondary education is determined by the consistency and thoroughness of processing each stage of design and technological activity. Success in teaching students how to design embroidered products depends on a comprehensive approach that combines an individual approach to each student, teacher support, and the creation of a stimulating learning environment.

Tourists' assessment of economic value, benefits and negative impacts of pedestrian walkways: Case-studies of the Paiva River (Arouca) and the Mondego River (Guarda) in Portugal

Hiking tourism becomes a popular wellness travel trend across the world. In recent years, we have witnessed the construction of walkways or boardwalks aiming to leverage the attractiveness of nature-based tourism destinations. This paper aims to assess the quality and economic value of two walkways/boardwalks in Portugal (MRW-Mondego River and PRW-Paiva River). A questionnaire applied to visitors at the entrances/exits of those linear walkways obtained 301 (MRW) and 188 (PRW) responses. In both case-studies, visitors provided high scores for the walkways' attributes and their overall satisfaction, which is positively correlated with their willingness to pay for a ticket to access the walkway (MRW- €4.56 and PRW- €6.31 respectively). This study also conducted a K-means cluster analysis for the Mondego RW sub-sample, that identified four different clusters: Cluster 1- (N = 8) Older and heavy spenders, a small segment of male visitors that spend a high amount of money during more than a 2-day stay in the region; Cluster 2- (N = 35) Heavy donators women, composed mainly by women who are willing to donate an higher amount for the conservation of the walkway; Cluster 3- (N = 62)- Average visitor whose members have a profile with characteristics similar to the average scores of the sample; and Cluster 4- (N = 189) Low spenders younger women, that plan their journey avoiding all the consumption moments and spending the lowest amount as possible (about €24). Based on the proposed theoretical framework and on the claims shared by visitors on the survey, this paper provides some recommendations for public decision-makers. Management implications•The local administration should reinvest the direct revenues from the walkways in new support infrastructures (e.g. accessibility, litter collection or the fire prevention/evacuation plan). They must also design an environmental education program for visitors to mitigate conflicts with local population.•The tourism operators must advertise and diversify the experiences, targeting the preferences of the four major visitors’ segments identified in the cluster analysis aiming to extend their stay in the region. The quality and variety of the restaurants should be improved and a new line of certified merchandising products is a potential source of shop owners’ revenues.

Exploring the Connection Between Attitudes Towards New Chinglish and Social Media Among Chinese College Students

New Chinglish has emerged as an undeniable and popular trend on Chinese social media platforms, particularly among Chinese college students. These college students are not only the main force of English users and learners in China but also the major netizens on Chinese social media platforms. However, within a cultural context where ‘standards and adherence to norms have traditionally been of paramount importance to the Chinese’ (Kirkpatrick, 2017: 278), the conflicting attitudes and use towards either upholding traditional viewpoints or adopting opposing stances regarding the New Chinglish warrant intriguing and meaningful exploration. Thus, this study aims to explore the connection between their attitudes towards New Chinglish and its usage behaviors on social media among Chinese college students. It seeks to unveil the reasons underlying their attitudes towards the use of New Chinglish. The in-depth exploration reveals a contradictory and uncertain evaluation of their usage of New Chinglish on social media, despite its high level of understandability and acceptability among them. Personal acceptability and preference do not solely determine their attitudes towards their use of New Chinglish on social media; instead, various social factors, such as language inequality, influence their language use behavior and attitudes, leading to a compromise between individual preferences and social influences. Specifically, this study offers insight into the genuine reactions and usage tendencies of English in real-life situations, indicating the future trends in English language development in China.

A review paper on driving forces behind webrooming behavior of consumers

The paper provides a detailed understanding of webrooming, a popular shopping trend that resulted from the convergence of traditional and internet retail channels. The study aims to examine the primary factors influencing webrooming behavior of consumers. The set of articles for review were extracted from Google Scholar Database which were further reviewed with a qualitative approach. The findings of the review suggests that major drivers of webrooming behavior amongst all are consumer’s need to touch and feel the product, requirement of sales staff assistance, need of socialisation etc. The authors suggest that retailers should work on strategizing their business policies by keeping the identified drivers in mind so that webrooming can be combated to the maximum possible extent. The study also proposes potential research ideas that can help in better understanding of this newly emerged shopping trend.

Purism in creative activity of Jeanneret-Gree (Le Corbusier)

The paper is devoted to purism (Latin purus − "pure, strict"), the second creative direction in the design and social activity of S.-E. Jeanneret-Gree (Le Corbusier, 1887−1965), the outstanding French architect. It is one of the most popular trends in modern painting and architecture in the early 20th century.The paper considers this style in detail. The most striking elements of French purism were firstly tested in the design of the villa belonged to Raul Albert La Roche (1925−1928), a Swiss businessman and collector of paintings.

Ni-Fe-P/Co-W: Nested heterostructures and multi-transition metal synergistic effect optimizing overall water splitting performance

Recently, the application of multi-component transition alloy catalysts in the water splitting field has been a popular development trend. In this work, we have proposed a multi-alloy catalyst for in-situ synthesis of nested multilayer heterostructure Co-W on Ni-Fe-P by electrodeposition way. The heterogeneous interfaces brought by the nested heterogenous structure expose abundant active sites on the catalyst, effectively enhancing the catalytic performance. Moreover, the synergistic effect of five elements (Ni, Fe, P, Co, and W) in the electrocatalysts improves electron transfer efficiently. By adjusting the proportion of Co and W of Co-W-O in the Ni-Fe-P plating solution, we have obtained optimal electrochemical performance in 1 M KOH solution. At 150 (10) mA cm−2, the HER and OER overpotentials are 157.6 (23.6) mV and 260.6 (219.9) mV respectively. Furthermore, it shows a low cell voltage (1.46 V) in overall water splitting, exceeding most of the previously reported electrocatalysts. The activity of Ni-Fe-P/Co-W has no significant decrease at 100 mA cm−2 for 100 h. Subsequently, XPS and Raman spectroscopy are used to infer the mechanism of the electrochemical reaction. This study demonstrates a kind of simple, scalable, and efficient bifunctional electrocatalyst method that has special nested heterogenous structure for overall water splitting.

Technological Advancements in Bite-Sized Learning: Developing a Framework for Basic Jazz Guitar Reharmonization Techniques

The capability of big data technology in online data management has made virtual learning a highly popular trend nowadays. However, vast information density makes young users lose focus in mastering one particular learning unit. This situation opens up opportunities for researchers to re-evaluate music instrument learning methods. This study aims to develop a framework for bite-sized learning of basic jazz guitar reharmonization techniques. The research methodology involves a mixed-methods design of Design and Development Research (DDR) and experimental case study. The three phases of the research include analysing the needs of jazz guitar reharmonization techniques, developing a bite-sized learning framework, and validating the conceptual framework. The results of this study will be useful for online learners of all ages who want to learn jazz guitar harmony without enrolling in formal institutions. The developed method could also potentially be commercialized as an online application for bite-sized learning and adopted as a part of heutagogy approaches.

Dis‐playing gender: From ludic reconfiguration to utopic outcomes in gender‐swap apps

AbstractAn increasing number of AI‐based gender‐swap applications have become a popular trend in our social media platforms and communities, rising controversial issues beyond their apparently playful intent. The primary ludic function informing the use/consumption of such apps opens to further signification and valorization of the produced images. In many cases, the portrait pictures, modified through a system of filters, assume an existential and utopic value for (transgender and nonbinary) users who have the possibility to reimagining and reperforming their gender identity. At the same time, the social availability and disposability of such images risk to trivialize the subjective and highly complex process of sexual and gender transition undergone by many people on their own material body in real life. The aim of this paper is to point out the ambivalences and the possibilities opened by gender‐swap apps for what concerns the issue of gender identity. Through the analysis of a corpus of promotional messages and users' responses to the gender‐swap apps, it is argued that these trans‐faces, far from operating a flawless passing from a gender to the other, constantly dis‐play the social construction and deconstruction of sexual and gender binary identities.

Predicting popularity trend in social media networks with multi-layer temporal graph neural networks

Predicting what becomes popular on social media is crucial because it helps us understand future topics and public interests based on massive social data. Previous studies mainly focused on picking specific features and checking past statistic numbers, ignoring the hidden impact of messages passing along the complex relationships among different entities. People talk and connect with others on social media; thus, it is essential to consider how information spreads when studying social media networks. This work proposes a multi-layer temporal graph neural network (GNN) framework for predicting what will be popular on social media networks. This framework takes into account the way information spreads among different entities. The proposed method involves multi-layer relations and temporal information within a sequence of social media network snapshots. It learns the temporal representations of target entities in each snapshot and predicts how the popularity of a particular entity will change in future snapshots. The proposed method is evaluated with real-world data across four popularity trend prediction tasks. The experimental results prove that the proposed method performs better than various baselines, including traditional machine learning regression approaches, prior methods for popularity trend prediction, and other GNN models.

The rise of TikTok elections: the Australian Labor Party’s use of TikTok in the 2022 federal election campaigning

ABSTRACT TikTok is an influential social media platform. During the 2022 Australian Federal election, the major political parties used TikTok as a campaigning tool. This research analysed the TikTok videos from the Australian Labor Party (ALP). The analysis primarily considered how the posts use visibility labour and other TikTok-based performance tools. It was found that they actively engaged in visibility labour, and employed popular culture to frame political issues. For youth who may not be politically active, cultural references can serve as a shared symbolic resource, aiding them in navigating political expression. This makes such references crucial, as they can help engage young users. Although TikTok utilises a short-form approach, the videos can contain substantial content that has the power to persuade viewers. The ALP used popular culture trends and more traditional techniques such as negative campaigning and humour, to attract supporter attention, denigrate the opposition and, attract the attention of all voters.

From Aesthetics to Design: Sustainability of Wabi-sabi in Ceramic Product Design in the Contemporary Context

In recent years, wabi-sabi has become a popular trend in product design. While consumerism encourages the masses to pursue ‘perfection,’ ‘luxury,’ and ‘sophistication,’ a materialism that is detrimental to human well-being and the environment, the wabi-sabi aesthetic The acceptance of ‘imperfection,’ ‘incompleteness,’ and ‘impermanence’ in the concept of wabi-sabi helps to alleviate the pervasive social anxiety and establish a positive mental state. Notably, in the contemporary context, wabi-sabi is no longer confined to Japanese philosophy and aesthetics, but has become a global design trend. Wabi-sabi aesthetics is closely related to the concept of sustainable design, yet there is little theoretical knowledge about its sustainability in product design. Based on this premise, this paper discusses the transformation of wabi-sabi from aesthetics to design in a contemporary context and its sustainability in ceramic product design through background research and theoretical understanding of sustainable product design. Ultimately, this paper develops theoretically insightful knowledge of sustainable design for ceramic products to help potential ceramic designers and producers understand the wabi-sabi aesthetic from a sustainable design perspective.

DYNAMICS OF EDUCATIONAL DIGITALIZATION IN INDONESIA: THE INFLUENCE OF KOREAN CULTURE IN INDONESIA

Digitization involves the process of transferring audio, video, and print media into digital form. Digitalization of education is one of the most popular trends in the development of the education system in Indonesia. The digitalization of education in Indonesia is experiencing dynamic changes influenced by cultural factors, including the increasing influence of Korean culture. This article examines the dynamics of digitalization of education in Indonesia in relation to the influence of Korean culture. With the development of information and communication technology, Korean culture plays an important role in the transformation of education in Indonesia. This article examines how Korean culture influences the use of technology and teaching method strategies in the Indonesian educational environment. Apart from that, it also discusses the negative and positive impacts of the influence of Korean culture on the digitalization of education in Indonesia using the literature study method. This research provides an in-depth view of the interaction between culture and technology in the context of education in Indonesia which continues to develop. In conclusion, it can be said that the influence of Korean culture is an important element to describe Indonesia's increasingly developing digital education journey.

How effective is ketogenic diet in sleep disorders ?

IntroductionSleep disorders vary widely and its treatment are based on a combination of life style changes and pharmacological therapy adapted to the primer health issue. Ketogenic diet has shown not only its efficacy in different health conditions, but it is also becoming a popular health trend. Could the therapeutic spectrum of ketogenic diet cover sleep disturbances ?ObjectivesThe aim of our study is to evaluate the effect of ketogenic diet on sleep disordersMethods To identify relevant studies ,our literature review was based on the Pubmed interface and adapted for 2 databases : science direct and google scholar. We used the following key words (ketogenic diet [meSH terms]) and (sleep disorders [meSH terms]).ResultsOur research revealed 14 articles published between 2012 and 2022. We selected 8 which corresponded to the purpose of our review. The ketogenic diet affects sleep hemostasis indirectly. In fact, this diet is associated with weight loss and therefore reduction of metabolic and cardiovascular complications disturbing sleep quality. From a neurobiological perspective, this regimen based on limited carbohydrates is associated with a low Tryptophan intake which is the precursor of melatonin. But on the other hand, Ketone bodies trigger adenosine activity which promotes melatonin liberation, the sleep inducing hormone.Conclusionsketogenic diet modulates melatonin activity therefore affects sleep architecture. Meanwhile, Its impact on sleep disorders is still controversed due to the variation of its pathophysiological mechanisms.Disclosure of InterestNone Declared

How effective is ketogenic diet in sleep disorders ?

IntroductionSleep disorders vary widely and its treatment are based on a combination of life style changes and pharmacological therapy adapted to the primer health issue. Ketogenic diet has shown not only its efficacy in different health conditions, but it is also becoming a popular health trend. Could the therapeutic spectrum of ketogenic diet cover sleep disturbances ?ObjectivesThe aim of our study is to evaluate the effect of ketogenic diet on sleep disordersMethodsTo identify relevant studies ,our literature review was based on the Pubmed interface and adapted for 2 databases : science direct and google scholar. We used the following key words ( ketogenic diet [meSH terms]) and (sleep disorders [meSH terms]).ResultsOur research revealed 14 articles published between 2012 and 2022. We selected 8 which corresponded to the purpose of our review. The ketogenic diet affects sleep hemostasis indirectly. In fact, this diet is associated with weight loss and therefore reduction of metabolic and cardiovascular complications disturbing sleep quality. From a neurobiological perspective, this regimen based on limited carbohydrates is associated with a low Tryptophan intake which is the precursor of melatonin. But on the other hand, Ketone bodies trigger adenosine activity which promotes melatonin liberation, the sleep inducing hormone.ConclusionsKetogenic diet modulates melatonin activity therefore affects sleep architecture. Meanwhile, Its impact on sleep disorders is still controversed due to the variation of its pathophysiological mechanisms.Disclosure of InterestNone Declared

DRGAT: Dual-relational graph attention networks for aspect-based sentiment classification

Aspect-based sentiment classification has become a popular topic in natural language processing. Exploiting dependency syntactic information with graph neural networks has recently become a popular trend. Despite their success, methods that rely heavily on a dependency tree face major challenges. This concerns the alignment of aspects and their word sentiments due to the richness of the language and the fact that a dependency tree might produce noisy signals from unrelated associations. This paper introduces a Dual-Relational Graph Attention Network (DRGAT) that fully exploits syntactic structural information and then the sentiment-aware context (e.g., phrase segmentation and hierarchical structure) of the constituent tree of a sentence. Additional constituency and dependency attention mechanisms provide comprehensive syntactic information across words, thereby enabling an accurate connection between aspect words and corresponding sentiment words. Considering that the original parsed constituency tree may have a large depth, this could lead to words being far apart increasing the computational overhead. The constituency tree of each sentence is dynamically reconstructed by determining the importance of each relational node. Extensive experimental results on six English datasets demonstrated that fully exploiting syntactic information can achieve excellent sentiment classification results.

Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation

BackgroundArtificial intelligence (AI) has emerged as a powerful tool in various medical fields, including plastic surgery. This study aims to evaluate the performance of ChatGPT, an AI language model, in elucidating historical aspects of plastic surgery and identifying potential avenues for innovation.MethodsA comprehensive analysis of ChatGPT's responses to a diverse range of plastic surgery-related inquiries was performed. The quality of the AI-generated responses was assessed based on their relevance, accuracy, and novelty. Additionally, the study examined the AI's ability to recognize gaps in existing knowledge and propose innovative solutions. ChatGPT’s responses were analysed by specialist plastic surgeons with extensive research experience, and quantitatively analysed with a Likert scale.ResultsChatGPT demonstrated a high degree of proficiency in addressing a wide array of plastic surgery-related topics. The AI-generated responses were found to be relevant and accurate in most cases. However, it demonstrated convergent thinking and failed to generate genuinely novel ideas to revolutionize plastic surgery. Instead, it suggested currently popular trends that demonstrate great potential for further advancements. Some of the references presented were also erroneous as they cannot be validated against the existing literature.ConclusionAlthough ChatGPT requires major improvements, this study highlights its potential as an effective tool for uncovering novel aspects of plastic surgery and identifying areas for future innovation. By leveraging the capabilities of AI language models, plastic surgeons may drive advancements in the field. Further studies are needed to cautiously explore the integration of AI-driven insights into clinical practice and to evaluate their impact on patient outcomes.Level of Evidence VThis journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266

STRATEGI PENYAMPAIAN PESAN DAKWAH PADA MEDIA SOSIAL

The Da'wah message is the message that the da'i wants to convey to the mad'u which is an important element in da'wah activities. Various media can be used to carry out da'wah, such as Tik Tok. One of the platforms that is widely used by people today. One of them is Husain Basyaiban with the Tik Tok account @kadamsidik00, which discusses Islamic values ​​and da'wah messages packaged in a way that is easy to understand. This research uses qualitative research. Researchers used content analysis on the @kadamsidik00 account. These data are processed and analyzed to identify strategies for delivering da'wah messages and supporting and inhibiting factors that influence the effectiveness of the da'wah message strategies delivered. Based on the results of this research, it was found that the @kadamsidik00 account used various strategies in conveying da'wah messages on Tik Tok. One of them is the use of creative content that attracts attention, as well as the ability to follow popular trends on Tik Tok to maximize audience reach. Apart from that, interaction with followers through comments and responses is also an important part of this account's strategy. Researchers also found several significant supporting factors in the strategy of conveying da'wah messages on Tik Tok social media by the account @kadamsidik00. These factors include the ability to create creative and attention-grabbing content, adaptation to popular trends, active interaction with followers, and the popularity of accounts that can expand the reach of preaching messages. However, there are also inhibiting factors that need to be considered. Limits on the duration of content on Tik Tok, competition with other viral content, and the risk of the da'wah message being distorted can become obstacles in conveying the da'wah message effectively. Apart from that, the importance of understanding the target audience more precisely and the risk of exposure to negative content also needs to be considered.

Anti-corruption Policy Analysis: Indonesian Open Government Study

The central role of the Indonesian government in campaigning for open government is not in line with the findings of corruption cases in Indonesia. This research aims to analyze anti-corruption open government bibliometrics and the content of Indonesia’s open government anti-corruption policies. This research uses a qualitative approach with bibliometric analysis and content analysis methods. This study analyzes 200 papers on the Google Scholar database published in the 2018–2022 period and analyzes Indonesia’s open government anti-corruption policies. This research found 4587 citations, h-index 37, g-index 57, 172 keywords, 22 clusters, 2531 total link strengths, and 784 occurrences in open government anti-corruption papers. Anticorruption, data disclosure, open data, open government, e-government, information disclosure, transparency, open government data, public procurement, and beneficial ownership are the most popular open government anti-corruption trends. In the same time period, the Indonesian government established 10 anti-corruption policies covering public procurement, beneficial ownership, and elections. This research concludes that although the Indonesian government’s corruption index is unsatisfactory, anticorruption policies in Indonesia are in line with global anti-corruption trends, especially in several popular policies such as open data, transparency, information disclosure, public procurement, and beneficial ownership.
 Keywords: anti-corruption, open government Indonesia, bibliometric analysis, content analysis