Prevalent Themes Research Articles

NURS-09. FERTILITY PRESERVATION AND PALLIATIVE CARE: RECOGNIZING THE NURSING ROLE IN THE PROMPT IMPLEMENTATION OF SUPPORTIVE CARE INTERVENTIONS IN THE PEDIATRIC CENTRAL NERVOUS SYSTEM TUMOR PATIENT POPULATION

Abstract BACKGROUND Given the complexity of pediatric central nervous system (CNS) tumors, an interdisciplinary approach is necessary to incorporate supportive care interventions that complement oncologic treatment plans. However, early implementation of both palliative care and fertility preservation services presents challenges within the pediatric neuro-oncology population. METHODS An extensive literature review was conducted for articles published between 2013-2023 using PubMed, Google Scholar, and CINAHL databases. The articles focused on nurses’ roles in pediatric oncology, palliative care, fertility preservation, and barriers to supportive care. Furthermore, the review incorporated collective knowledge sharing among pediatric neuro-oncology nursing specialists. This joint initiative applied evidence-based practices to showcase the successful implementation of palliative care and fertility preservation services, broadening this project’s scope. RESULTS One prevalent theme that emerged highlighted the delay in supportive care referrals attributed to perceived obstacles by healthcare team members. The misconception that palliative care is solely for end-of-life situations or the assumption that families are not ready to acknowledge an incurable diagnosis causes delays in palliative care referrals. Fertility preservation in pediatric oncology encounters obstacles, including the urgency to commence treatment, determining optimal candidate criteria, and navigating discussions with younger patients. Nurses are uniquely positioned in their role to bridge gaps between oncologic treatment interventions and the incorporation of supportive care measures. Recognizing the supportive care needs of patients, nurses can educate families, advocate for early referrals, and coordinate integrative care. Advanced Practice Nurses (APNs) can offer clinical consultation, and order appropriate screening, testing, medications, and referrals. CONCLUSION Disseminating nursing education across pediatric oncology practices and institutions is essential for identifying perceived barriers and reforming the early supportive care intervention process. This collaborative and proactive approach is designed to optimize the overall care experience, with the goal of enhancing the delivery of supportive care for pediatric neuro-oncology patients.

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis

Background Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output’s impact and reach can cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider ‘alternative metrics’ or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Objectives Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 – 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology) and, where possible, by study types (e.g., clinical trials vs. evidence syntheses). Methods Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a quarterly and yearly basis. We will use topic modelling using latent Dirichlet allocation to explore prevalent topics over time. Results and Conclusions Improved understanding of one’s information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

Decoding hotline's information with text-mining: A protocol for improving tobacco control in Shanghai.

Tobacco consumption in China remains the primary cause of preventable mortality, with Shanghai being particularly affected by issues related to secondhand smoke exposure. This study explores the role of the public service hotline 12345, a grassroots initiative in Shanghai, in capturing public sentiment and assessing the effectiveness of anti-smoking regulations. Our research aims to accurately and deeply understand the implementation and feedback of smoking control policies: by identifying high-frequency points and prominent issues in smoking control work based on the smoking control work order data received by the health hotline 12320. The results of this study will assist government enforcement agencies in improving smoking monitoring and clarify the direction for improving smoking control measures. Text-mining techniques were employed to analyze a dataset comprising 78011 call sheets, all related to tobacco control and collected from the hotline between 1 January 2015 and 31 December 2019. This methodological approach aims to uncover prevalent themes and sentiments in the public discourse on smoking and its regulation, as reflected in the hotline interactions. Our study identified hotspots and the issues of greatest concern to citizens. Additionally, it provided recommendations to enforcement agencies to enhance their capabilities, optimize the allocation of human resources for smoking control monitoring, reduce enforcement costs and support for anti-smoking campaigns, thereby contributing to more effective tobacco control policies in the region.

(109) AS SEEN ON TIKTOK: PERCEPTIONS AND UNDERSTANDINGS OF HORMONAL CONTRACEPTIVES ON SOCIAL MEDIA

Abstract Introduction Contraception plays an integral role in many women’s lives and is essential for family planning and treatment of myriad health conditions. Between 2017-2019, approximately 65% of women aged 15 to 49 in the United States were actively using a form of birth control. Social media has a significant influence over the contraceptive choices of many reproductive-aged women. TikTok, a platform established in 2017, is one of the fastest growing worldwide social media applications. In 2018, it was recognized in top charts as “Most Downloaded”, and by 2023, approximately 150 million Americans became active users. Beyond its entertainment value, TikTok serves as a communication platform to nearly 5 million businesses, and the healthcare sector is no exception. Objective This study assessed the attitudes and information users share about hormonal contraceptives (HC) on TikTok, to elucidate the type of information women are receiving. Additionally, the potential for healthcare providers to use this platform as a means to educate and reach millions of patients was explored. Methods Apify, a free data-scraping tool, was used to automatically extract and compile 593 TikTok videos. Frequently searched hashtags, such as #birthcontrol, #hormonalcontraceptive, and #pregnancyprevention, were utilized to identify videos. Inclusion criteria included videos from US-based content creators and videos with English audio or text. The number of views and shares, length of video, and location of content creator for each TikTok were populated by the online application and imported onto RedCap for data collection. Demographic data such as gender and what type of content creator was providing the information, along with topics being portrayed and characteristics of each video, were also collected on RedCap. Results 150 TikTok videos met our inclusion criteria. The average length of each TikTok was 47.08 seconds. The average number of views and shares were 4,623,942 and 9,952, respectively. The predominant HCs discussed were intrauterine devices (IUDs), depo-provera injections, and contraceptive implants. Prevalent themes included negative personal anecdotes, general health information, and side effects. Additionally, the most common characteristics of the Tiktoks were humor and education. Most of the content creators were female (91%), and non-medical professionals (62%). Of the videos created by medical professionals, 25% were created by physicians, 26% by nurse practitioners, followed by nurse midwives (19%), physician assistants (14%), and registered nurses (5%). Conclusions Through short and engaging videos, TikTok has the ability to reach a wide and diverse audience. Oftentimes, users create TikToks that reveal their concerns, frustrating encounters, and how side effects impact their lives. Further studies may include determining how personal experiences of HC influence TikTok users’ acceptability, adherence, and attitudes. Given its reach, medical professionals should consider using the platform to engage with patients and provide evidence based education regarding HC. Disclosure No.

Energy Efficiency Trends in Petroleum Extraction: A Bibliometric Study

This comprehensive bibliometric analysis investigates energy-saving strategies in petroleum extraction, shedding light on key research areas, trends, and collaborations. The analysis covers 98 research articles spanning from 2003 to 2024, sourced from the Web of Science (WOS) database and analyzed using the Bibliometrics R package v.4.1.3, including descriptive statistics, network analysis, and factorial analysis. Findings reveal significant contributions from China, Canada, Russia, and the USA, with notable collaborations and thematic clusters identified. Top journals, prolific authors, and leading institutions are highlighted, showcasing global efforts in advancing sustainability in the oil industry. Institutions like the University of Calgary and authors such as Gates ID, Ren SR, and Zhang L play significant roles in advancing knowledge in this domain. Keyword analysis underscores prevalent themes such as optimization, simulation, and energy efficiency. Technological innovations, process optimization, and organizational strategies emerge as crucial avenues for reducing electrical energy consumption in oil extraction operations. However, limitations include database constraints and language bias. Overall, this study offers valuable insights for researchers, policymakers, and industry stakeholders, informing future research directions and policy initiatives for enhancing energy efficiency and sustainability in petroleum extraction.

RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization.

Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer (GPT) incorporates 2 distinct modes-real-time search and pretrained model utilization-it encounters challenges in dealing with these tasks. Specifically, the real-time search can pinpoint some relevant articles but occasionally provides fabricated papers, whereas the pretrained model excels in generating well-structured summaries but struggles to cite specific sources. In response, this study introduces RefAI, an innovative retrieval-augmented generative tool designed to synergize the strengths of large language models (LLMs) while overcoming their limitations. RefAI utilized PubMed for systematic literature retrieval, employed a novel multivariable algorithm for article recommendation, and leveraged GPT-4 turbo for summarization. Ten queries under 2 prevalent topics ("cancer immunotherapy and target therapy" and "LLMs in medicine") were chosen as use cases and 3 established counterparts (ChatGPT-4, ScholarAI, and Gemini) as our baselines. The evaluation was conducted by 10 domain experts through standard statistical analyses for performance comparison. The overall performance of RefAI surpassed that of the baselines across 5 evaluated dimensions-relevance and quality for literature recommendation, accuracy, comprehensiveness, and reference integration for summarization, with the majority exhibiting statistically significant improvements (P-values <.05). RefAI demonstrated substantial improvements in literature recommendation and summarization over existing tools, addressing issues like fabricated papers, metadata inaccuracies, restricted recommendations, and poor reference integration. By augmenting LLM with external resources and a novel ranking algorithm, RefAI is uniquely capable of recommending high-quality literature and generating well-structured summaries, holding the potential to meet the critical needs of biomedical professionals in navigating and synthesizing vast amounts of scientific literature.

The effects of supplemental instruction derived from peer leaders on student outcomes in undergraduate human anatomy.

Supplemental instruction (SI) confers student success, as represented by grades, knowledge retention, and student engagement. However, studies often report professional, not undergraduate, program findings. To measure these effects, students studying human anatomy at a university in Ontario, Canada, attended structured (peer-assisted) or unstructured (nonpeer-assisted) SI sessions and completed a pre-/post-survey. Fifty-eight learners (39 systems (SYS) and 19 musculoskeletal (MSK) anatomy) completed both surveys and had responses analyzed. Both cohorts, maintained initial perceptions across pre-/post-analyses (MSK p = 0.1376 and SYS p = 0.3521). Resource usage was similar across both cohorts with discrepancies in skeletal model and textbook use. No MSK learner ranked any labresourcesas "not at all useful." MSK learners felt more prepared to write a graded assessment (p = 0.0269), whereas SYS learners did not (p = 0.0680). Stratification of learners in MSK and SYS revealed learners spending between 30 and 60 min in SI sessions during the study period had the highest grades compared to students who spent less than 30 (p = 0.0286) or more than 60 (p = 0.0286) min attending SI sessions, respectively. Most learners in MSK (89.4%) and SYS (66%) concluded that they preferred structured over unstructured SI. Sentiment/thematic analysis using a generative AI-driven large language model revealed learners held positive perceptions of SI, emphasizing structured learning, resources, personalized learning, and support offered as the most prevalent themes surrounding SI. Ultimately, this study provides evidence that supports SI for improving student outcomes related to perceived preparedness for completing assessments and preferred teaching/learning styles in undergraduate human anatomy.

Decision making factors regarding hospice care: A qualitative exploration in patients with recurrent ovarian cancer.

e24035 Background: Women with recurrent ovarian cancer (ROC) often must make end-of-life choices involving hospice care. We qualitatively explored patients’ (pt) understanding of hospice, and main decision-making factors. Methods: Pts were recruited by purposive sampling for semi-structured interviews, which were recorded, transcribed, and consensus coded. Results: 40 pts completed interviews. Median age = 63.4 yrs and time since diagnosis = 5.5 yrs. Important facilitators and barriers to hospice emerged. Key facilitators included: 1) desire to reduce care burden on family; 2) desire for a high quality death; and 3) acceptance (not afraid to die). On reducing care burden, one pt noted: “ I would think that the single most important factor would be the relief that it would give my family members. That they would not bear nearly as large a burden if hospice were to pick up part of that...” On desire for a high quality death, and acceptance: “ I’d wanna go out with as much dignity as possible...if it’s my time to go, let me go. I don’t wanna be...connected to all kinds of IVs and tubes and things just to keep my heart beating .”. Key barriers were: 1) lack of knowledge about hospice; 2) equating hospice to ‘giving up’; 3) loss of faith; and 4) letting go of perceived life-extending medical care like hydration or nutrition. Lack of knowledge was a prevalent theme: “ You only do hospice when it’s at the very end of the road. But maybe that’s not true. Maybe you do that to get some special care for a couple of months to get you through a tough...time. I guess I don’t know.” On giving up: “I would not say I'm a fan of it (hospice) at all...I would rather go out fighting....to me it's like giving up...I can't really imagine that I would actually do that.’Regarding loss of faith or letting go of perceived life-extending care: “ Well, my thoughts on how it works is I'm really not sure. They're there to keep you comfortable in your last days, but I don't know because I've heard so many horror stories with hospice...yeah they keep your pain down, but they don't give you faith. They don't give you hydration... it's like, God, pretty much starving you to death. But I don't know if that's true. I mean, that's just what I've heard.” A pivotal decision making factor that could be either a facilitator or barrier was family support for hospice, reinforcing the need for shared decision-making among the pt, family and clinical care team. One pt stated: “ It's an emotional toll, financial toll, it’s a physical toll on the family...and I would just want to talk to my family about all aspects of it, and then they would go from there, what they would want to do, or what I would want to.” Conclusions: Understanding perceived barriers and facilitators to hospice care through elicitation of pt beliefs and values and focusing efforts on educating pts and their support systems about the role of hospice can empower women with ROC to make informed pt-centered decisions about their end-of-life care.

Misinformation surrounding sodium reduction for blood pressure: content analysis of Japanese posts on X.

This content analysis aimed to assess misinformation themes regarding sodium reduction and blood pressure on X with the goal of providing strategies to address and debunk such misinformation. A total of 531 posts were manually coded into sodium-related misinformation themes, with inclusion criteria for posts asserting no association between sodium reduction and hypertension or claiming consuming sodium is beneficial for health. Numbers and post frequencies per misinformation theme were calculated. Post characteristics, including information sources, advertisements and narratives, were coded, and a correlation analysis was conducted to assess their association with each misinformation theme. Fourteen sodium-related misinformation themes were identified and consistently disseminated on X. The predominant theme, 'Natural Salt', accounted for 37.7% (n = 200), reaching 1.6 million followers, followed by 'Reducing salt could be bad for my health' theme, comprising 28.6% (n = 152) and reaching 1.5 million followers. There was a statistical correlation between the natural salt misinformation theme and advertisements. Many of the most frequent misinformation themes identified in this study have not been systematically debunked by organizations such as the World Health Organization and the American Heart Association. This study underscores the importance of continuous monitoring and analysis of sodium-related misinformation on social media platforms and their underlying commercial interests. Such monitoring has the potential to identify prevalent misinformation themes that may pose harm to the public and to inform public health organizations, enabling them to proactively address potential issues through debunking.

Navigating the Web of Influence: A Bibliometric Analysis of Social Media Addiction.

Social media addiction is a behavioral dependency characterized by excessive and compulsive use of social media platforms, leading to negative impacts on various aspects of an individual's life. Bibliometric analysis is a research method used to quantitatively analyze academic literature, such as articles, books, and conference papers. It involves the application of statistical and mathematical tools to study the patterns and trends in scientific publications. This bibliometric study provides a comprehensive analysis of the literature on social media addiction, revealing patterns and dynamics within the field. Utilizing Web of Science for bibliographic data, the study employs advanced bibliometric tools like Biblioshiny and CiteSpace to map the scientific landscape. Annual scientific production, top contributing authors, key sources, trending topics, and thematic maps were identified using Biblioshiny. Additionally, network visualizations, such as co-citation networks of authors, time zone network visualizations of keyword co-occurrence, and timeline network visualizations of country collaborations, were created using CiteSpace. Our findings present an increasing trend in publications over the years, highlighting a growing recognition of social media addiction's significance. We detail the most relevant authors and sources, pinpointing key contributors and influential journals that shape the discourse. Trend topics analysis uncovers the prevalent themes, with "internet addiction" and "adolescents" at the forefront, reflecting the field's concentration on the younger population. The thematic map categorizes the research into motor themes (driving research areas), basic themes (fundamental and well-established areas), and niche themes (specialized and emerging topics), providing insight into the central and evolving topics. The study also delves into the co-occurrence of all keywords and the co-citation of authors, illustrating the interconnected nature of the research community. A timeline network visualization of country collaborations underscores the global scope of research efforts. Importantly, the study identifies critical research gaps such as underexplored demographics and emerging digital concerns and discusses practical implications, including the need for targeted intervention programs and informed policy-making. Collectively, this study charts the trajectory of social media addiction research and lays a foundation for future explorations to address identified lacunae.

Hidden advertisements included in cancer information posts: Insights from social listening.

e21017 Background: Access to cancer information on the Internet has proliferated, yet ensuring the accuracy and reliability of such information remains a challenge. The abundance of online content necessitates a comprehensive understanding of the prevailing landscape of cancer information dissemination. Methods: Cancer-related information was retrieved from search engine results pages of NAVER and Google, the most frequently used websites for information search in South Korea, during September and October 2023. Promoted posts and overt advertisements were excluded from the dataset. Posts featuring more than 50% of advertising content were categorized as fully hidden advertisements (HA), while those with lesser proportions were classified as partially HA. In cases where there was no advertising content but the hospital name or contact information was indicated for promotional purposes, it was classified as a simple HA. Topic modeling techniques were employed to analyze the content of HA posts, identifying prevalent themes and keywords indicative of promotional intent. Results: Of the collected posts, 48.6% were classified as HA. The publisher of the HA was 26.8% of oriental medicine/care hospitals, followed by general hospitals (25.3%), non-professional (21.3%), and small and medium-sized private hospitals (17.4%). In HA, 40.3% were full advertisements, 36.75% were partial advertisements, and the remainder were simple displays. By cancer type, 65.3% of posts about breast cancer were advertising posts, 55.2% were about colon cancer, and 53.7% were about stomach cancer. In the topic modeling analysis of HA, despite containing basic and theoretical information about cancer, HA subtly directs users towards advertising content, featuring terms related to private insurance and complementary medicine. Conclusions: The study elucidates the prevalence and characteristics of HA within cancer-related information available online, highlighting the need for heightened awareness. While it may not be inherently wrong, HA can impact user perception and decision-making processes. Additional research is underway to determine whether information classified as HA can be trusted. Addressing issues such as HA within cancer information will likely require cooperation between search engine platforms and government agencies.

Banter within the NHS: A tool for boosting morale or a front for workplace bullying?

Workplace humour, such as banter between colleagues, is a widespread means of developing relationships and relieving daily work stresses. Despite this, banter in the workplace is a prevalent theme of harassment and bullying claims. With staff morale at an all-time low among NHS employees, efforts must be made to identify and rectify issues which work to damage staff experiences within the organisation. We aimed to explore both the positive and negative impacts of banter on NHS staff well-being. We discuss the role of staff training on the appropriate use of workplace humour, with reference to a workshop delivered to NHS employees, educating them on the appropriate use of banter.

Bibliometric Review of Optimization and Image Processing of Positron Emission Tomography (PET) Imaging System between 1981-2022.

PET scan stands as a valuable diagnostic tool in nuclear medicine, enabling the observation of metabolic and physiological changes at a molecular level. However, PET scans have a number of drawbacks, such as poor spatial resolution, noisy images, scattered radiation, artifacts, and radiation exposure. These challenges demonstrate the need for optimization in image processing techniques. Our objective is to identify the evolving trends and impacts of publication in this field, as well as the most productive and influential countries, institutions, authors, themes, and articles. A bibliometric study was conducted using a comprehensive query string such as "positron emission tomography" AND "image processing" AND optimization to retrieve 1,783 publications from 1981 to 2022 found in the Scopus database related to this field of study. The findings revealed that the most influential country, institution, and authors are from the USA, and the most prevalent theme is TOF PET image reconstruction. The increasing trend in publication in the field of optimization of image processing in PET scans would address the challenges in PET scan by reducing radiation exposure, faster scanning speed, as well as enhancing lesion identification.

In Search of Unheard Voices: Monologism in U.R. Anantha Murthy’s Samskara: A Rite for a Dead Man

Women are frequently oppressed by patriarchal ideals, leading to their voices being marginalized in society. The research elaborates on how the male characters representing hierarchical structures suppress the central female characters, to remain silent or prevent them from expressing themselves, as depicted in Samskara: A Rite for a Dead Man (1976), a translation of the Kannada novel Samskara (1965) authored by U.R. Anantha Murthy. The novel Samskara (1965) is translated into English as Samskara: A Rite for a Dead Man (1976) by A. K. Ramanujan. A patriarchal society is portrayed in Samskara: A Rite for a Dead Man (1976), where rituals and superstitious beliefs take precedence over compassion. Chandri, the only female character, has a major role yet speaks the least, sometimes being overpowered by the male characters. Hence, irrespective of their socioeconomic status, women are subjected to societal, economic, and physical exploitation. The purpose of this paper is to analyse, from a Bakhtinian standpoint, the representation of women's voices in monologism discourse. This research critically examines the portrayal of female characters in Samskara: A Rite for a Dead Man (1976), highlighting how they are reduced to submissive figures under the control of dominant males. While the female characters have limited dialogue, overshadowed by the presence of male characters, they still manage to make a significant impression on the readers. In his narration, the author presents the ramifications of societal regulations in an authentic circumstance from a singular perspective (monologic) as opposed to employing multiple voices (dialogic). The paper clarifies the current state of women's voices with the novel, which is set in traditional India where gender norms were dominant and female dissent was banned. A prevalent theme in contemporary society, intersectionality in gender is portrayed in the novel. Thus, the article sheds light on the contemporary gender empowerment movement and the significance of empowering women's voices in all aspects of life.

A computational approach to cryptocurrency marketing on social media

This study aims to explore social media content associated with cryptocurrency marketing. We employ unsupervised Latent Dirichlet allocation topic modeling and sentiment analysis techniques to 98,716 tweets to examine Twitter (now known as X) content for subjects and sentiments related to cryptocurrency. Our findings reveal that cryptocurrency tweets fell into four categories, with ‘cryptocurrency trading,’ ‘NFT airdrop,’ ‘cryptocurrency affiliate program,’ and ‘Dogecoin on social media’ being the most popular. Furthermore, most of these topics exhibited positive sentiments. This study contributes theoretically by integrating cryptocurrency marketing into the diffusion of innovation paradigm. In addition, it offers strategic insights for digital marketers in identifying prevalent topics and sentiments related to cryptocurrency, enabling the tailoring of affiliate marketing communication strategies on social media.

Lived Experiences of Adolescent Mothers in their Transition to Motherhood in a Rural Barangay

This descriptive phenomenological type of study employed Giorgi’s Phenomenology with transcribed semi-structured face-to-face interviews to provide detailed examinations of personal lived experiences among the selected adolescent mothers in Barangay Rizal, Surigao City. Ten informants were selected using the criterion-based purposive sampling method specifying those who are mothers aged between 10 to 19 years old, have given birth to one live baby, are residents of Barangay Rizal, and are living with their parents who underwent struggles in transitioning to motherhood only. The emergent themes from the study revolved around three key aspects: physical problems, insufficient support, and mental and emotional distress. The journey into motherhood, while transformative for any woman, presents a unique set of challenges and complexities for adolescent mothers. Their experiences were vividly expressed in their narratives, showcasing a range of emotions including fear, uncertainty, and the simultaneous joy of motherhood. As they grapple with their new responsibilities, they also face the ongoing challenge of identity formation as adolescents. Throughout their journeys, there is a prevalent theme of profound personal development. This study serves as a very useful and trustworthy input for the creation and execution of specific programs and treatments that address specific challenges faced by adolescent mothers as they transition to motherhood.

Understanding the emergence and significance of behavioral cybersecurity: A bibliometric analysis

This thorough bibliometric analysis, using R-Studio and Biblioshiny, presents a comprehensive view of the evolving field of behavioral cybersecurity. It explores how human behaviors in online cyber activities have become a crucial area of research. Despite being relatively new, behavioral cybersecurity has gained considerable attention in academia and practical applications. The analysis reveals essential details such as key sources, influential authors, participating countries, affiliated institutions, and prevalent research themes in this field. It's an essential guide for new researchers, helping them identify gaps in knowledge and understand the importance of this growing research area. Examining 468 literature sources from Scopus up to January 11, 2024, shows a gradual start followed by significant growth, especially after 2012. This dynamic field offers numerous research opportunities by incorporating human aspects into cybersecurity discussions. The focus is on understanding behavioral patterns to shape strategies, guidelines, and user-centered software solutions. Spotlighting behavior in cybersecurity highlights user cognitive biases and the impact of emotions and social factors on decision-making in the cybersecurity landscape. This holistic approach underscores the crucial role of human behavior in shaping cybersecurity practices and strengthening digital defenses.

Capital Structure and Financing Decisions in Southeast Asia’s Property and Real Estate Sector: A Systematic Literature Review

This systematic literature review evaluates the existing research on capital structure and financing decisions within the property and real estate sector of Southeast Asia (ASEAN). Despite the sector's dynamic growth and substantial investments, the financial strategies specific to ASEAN remain minimally explored. A methodical review of scholarly articles from ScienceDirect, and Google Scholar spanning from 2000 to 2023. Our analysis identified prevalent themes and trends, notably the application of traditional capital structure theories such as pecking order and trade-off theories to more developed markets. However, the review highlights a significant gap in empirical research focusing on the unique economic, regulatory, and market conditions in ASEAN that crucially impact capital structure and financing choices in the region's property sector. The findings emphasize the need for more targeted empirical studies that account for the socio-economic diversity and specific institutional frameworks of ASEAN countries. These studies aim to enhance understanding of the financing behaviors in their property and real estate markets, thus aiding policymakers and investors in crafting informed strategies and policies.

Anti-Abortion Discourse in Canada after the Overturning of Roe v. Wade

This study investigates the current (November 2023) discourse of anti-abortion activists in Canada to see if the overturning of Roe v. Wade in 2022 has changed the prevalent themes. A literature review was conducted, and four key themes were inductively derived: Fetal-Personhood Framing, Pro-Women Framing, Religious Downplaying and Legal-Based Arguments. Upon further thematic analysis of six protest sites (July 2022 – November 2023) in Canada, there appeared to be five key themes: Fetal Personhood Framing, Pro-Women Framing, Legal-Based Arguments, Religion-Based Framing and Ascribing Negative Emotions to Women with Abortions. This differed from the findings of Lowe and Page’s 2019 study which found the downplaying of religion to be a key theme. The literature stressed finding Pro-Women Framing in discourses but in this analysis, multiple instances of Ascribing Negative Emotions to Women who had Abortions appeared. As was expected, more arguments seemed to be backed by the overturning of Roe v. Wade, as shown by the observation of Legal Based Arguments in protests. This analysis suggests that the reversal of Roe v. Wade has emboldened religious activists by giving them legal backing to no longer downplay religious motivations as their beliefs have been rationalised by law. This can be backed by the lack of Religious Downplaying but relatively frequent Religion-Based Framing and Legal-Based Arguments. Additionally, a minority of signs seemed to be anti-woman which perhaps suggests that the reversal of Roe v. Wade has encouraged activists to vocalise their traditional views more.

Analisis Sentimen Pada Postingan Media Sosial Twitter Dan Instagram Terkait Mangrove Surabaya

Social media has emerged as a significant platform for individuals to express opinions and share experiences, extending to discussions on tourist attractions like Surabaya's mangroves. Utilizing sentiment analysis, this study evaluates public perceptions of the mangrove tourist destination. Concurrently, topic modeling extracts prevalent themes from textual data to discern evaluation aspects of Surabaya's mangroves. Employing sentiment lexicons and shadow labeling techniques, the analysis reveals a balanced sentiment distribution but susceptibility to misclassifications due to limited manually labeled data. Conversely, Latent Dirichlet Allocation (LDA) identifies three dominant topics: the attraction's appeal with culinary exploration, concerns over plastic pollution alongside distressing incidents like infant mortality, and issues of plastic waste accumulation and deforestation. Furthermore, after experimenting with various training models including LSTM, B-LSTM, machine learning algorithms (SVM, GNB, LR, LDA, and DTREE), and ensemble learning techniques (max voting, averaging, weighted averaging), the most optimal performance was achieved with the LSTM model, yielding an accuracy of 0.78. This underscores the utility of computational techniques in understanding public sentiment and thematic concerns surrounding Surabaya's mangrove ecosystem for tourism management and environmental conservation stakeholders and policymakers.