Online Platform Research Articles

Early prediction of microvascular obstruction prior to percutaneous coronary intervention

Early prediction of microvascular obstruction (MVO) occurrence in acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI) can facilitate personalized management and improve prognosis. This study developed a prediction model for MVO occurrence using preoperative clinical data and validated its performance in a prospective cohort. A total of 504 AMI patients were included, with 406 in the exploratory cohort and 98 in the prospective cohort. Feature selection was performed using random forest recursive feature elimination (RF-RFE), identifying five key predictors: High-Sensitivity Troponin T, Neutrophil Count, Creatine Kinase-MB, Fibrinogen, and Left Ventricular Ejection Fraction. Among the models developed, logistic regression demonstrated the highest predictive performance, achieving an AUC score of 0.800 in the exploratory cohort and 0.792 in the prospective cohort. This model has been integrated into a user-friendly online platform, providing a practical tool for guiding personalized perioperative management and improving patient prognosis.

Bridging the gap in sustainable radiography: insights from five countries in Asia and Africa

IntroductionSustainability in healthcare, particularly in medical imaging, is increasingly important as healthcare operations contribute significantly to global emissions. Radiographers, as integral members of imaging departments, play a vital role in implementing sustainable practices. This study examines radiographers’ perceptions, practices, and barriers to sustainability across five countries: the United Arab Emirates, Saudi Arabia, Palestine, Sudan, and Ghana, highlighting regional differences and factors influencing engagement.MethodsA cross-sectional survey was conducted among 441 radiographers using an online platform. The survey included questions on demographic information, sustainability perceptions, practices, and barriers. Data were analyzed using descriptive statistics and the Kruskal-Wallis H test to evaluate regional variations in sustainability engagement.ResultsResults revealed moderate sustainability knowledge among participants, with 45.1% (n = 199) understanding the concept and 46.7% (n = 206) recognizing its benefits. Common practices included digital documentation (34.6%, n = 289) and daily energy reduction efforts (32.2%, n = 142). However, advanced practices such as recycling residual contrast media or adopting energy-efficient equipment were limited. Key barriers included lack of training (39.2%, n = 173), financial constraints (44.7%, n = 197), and insufficient managerial support (39.2%, n = 173). Regional variations were evident, with Ghana showing the highest engagement across knowledge, attitudes, and practices, while Saudi Arabia scored the lowest. Statistical analysis indicated significant differences in sustainability engagement by region (p < 0.05), with Ghana benefiting from targeted educational initiatives and international collaborations. In contrast, resource limitations and insufficient institutional support hindered progress in other regions.ConclusionThe findings emphasize the need for tailored strategies to promote sustainability in radiography. Recommendations include integrating sustainability into radiography curricula, providing targeted training, enhancing leadership support, and adopting region-specific interventions. Addressing these challenges can empower radiographers to contribute to environmentally sustainable healthcare systems.

Current status of pharmacists in community pharmacies in China in the health management of chronic respiratory diseases

BackgroundEffective management of chronic respiratory diseases (CRDs) is critical, and community pharmacists play a key role. This study evaluates pharmacists’ knowledge, attitude, technology use and patient education in CRDs management across various regions in China.MethodsThis cross-sectional study conducted a survey of pharmacists across nine provinces and two municipalities in China from January to September 2024, using a stratified convenience sampling method based on regional GDP. A total of 733 questionnaires were distributed through online platforms and pharmacy networks, yielding 699 valid responses, resulting in a response rate of 95.4%.Results61.5% of pharmacists correctly answering 5 or fewer questions on knowledge-related topics. Additionally, 68.1% of the pharmacists demonstrated an accuracy rate of less than 50% in COPD-related questions, and 58.7% had an accuracy rate below 50% in asthma-related questions. Pharmacists in developed regions showed higher scores in knowledge, attitude, and patient education compared to those in underdeveloped areas (P < 0.05). Higher education and professional certifications were associated with better scores (P < 0.05). Frequent CRDs patient management and positive attitudes enhanced technology use, while longer working hours were linked to lower technology use and patient education scores (P < 0.05). Higher knowledge and attitude scores were significantly associated with better patient education (P < 0.05).ConclusionCommunity pharmacists display significant knowledge gaps in managing CRDs, particularly COPD and asthma. Developed regions, higher education, certification, and frequent CRDs management correlate with better scores. These findings highlight the need for ongoing education and improved working conditions to strengthen pharmacists’ roles in CRDs management, aligning with the Healthy China initiative.

Online peer support for people with dementia: a scoping review protocol.

The objective of this scoping review is to gain insights into the different online peer support opportunities available for people with dementia. People with dementia use a variety of online platforms for peer support, such as social networking sites or videoconferencing platforms. Online peer support can offer a variety of benefits, such as overcoming geographical barriers and the opportunity to choose a platform and mode of communication that suits a person's needs and preferences. However, there is currently no synthesis of the different online peer support opportunities available to people with dementia. Participants in this review will include people living with a self-reported diagnosis of any form of dementia. The concept is peer support through online platforms, while the context is online peer support that is accessible in English. The review will be conducted according to the JBI methodology for scoping reviews. A 3-step strategy will be used to search 4 data sources: (1) scholarly and gray literature databases, (2) Google search engine, (3) social media and websites of dementia organizations, and (4) consultations with people with dementia and professionals. The review will be managed in Covidence and Excel. The study selection and data extraction will be conducted by 2 independent reviewers and a third reviewer will be consulted if needed. For the data extraction a draft data extraction instrument will be used, following the recommendations of JBI. Data will be extracted on platform, online peer support, and study characteristics. The findings will be presented in tables and a narrative summary. https://doi.org/10.17605/OSF.IO/8JTQC.

Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing

BackgroundIn this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories of real-world information, Digital Listening enables the systematic collection and analysis of patient voices through advanced technologies. Semantic-NLP artificial intelligence, with its ability to process and extract meaningful insights from large volumes of unstructured online data, represents a novel approach for understanding patient perspectives. This study aimed to demonstrate the utility of Semantic-NLP technology in presenting the needs and concerns of patients with age-related macular degeneration (AMD) in Korea and Taiwan.MethodsData were collected and analysed over three months from January 2023 using an ontology-based information extraction system (Semantic Hub). The system identified patient “stories” and extracted themes from online posts from January 2013 to March 2023, focusing on Korea and Taiwan by filtering the geographic location of users, the language used, and the local online platforms. Extracted texts were structured into knowledge graphs and analysed descriptively.ResultsThe patient voice was identified in 133,857 messages (9,620 patients) from the Naver online platform in Korea and included internet chat forums focused on macular degeneration. The most important factors for AMD treatments were effectiveness (1,632/3,401 mentions; 48%), price and access to insurance (33%), tolerability (10%) and doctor and clinic recommendations (9%). Treatment burden associated with intravitreal injection of vascular endothelial growth factor inhibitors related to tolerability (254/942 mentions; 27%), financial burden (20%), hospital selection (18%) and emotional burden (14%).In Taiwan, 444 messages were identified from Facebook, YouTube and Instagram. The success of treatment was judged by improvements in visual acuity (20/121 mentions; 16.5%), effect on oedema (10.7%), less distortion (9.1%) and inhibition of angiogenesis (5.8%). Tolerability concerns were rarely mentioned (26/440 mentions; 5.9%).ConclusionsDigital Listening using Semantic-NLP can provide real-world insights from large amounts of internet data quickly and with low human labour cost. This allows healthcare companies to respond to the unmet needs of patients for effective and safe treatment and improved patient quality of life throughout the product lifecycle.

What Do Content Moderators Do? Emotion Work and Control on a Digital Health Platform

AbstractContent moderation determines the type of data displayed on platforms. Although this type of work is conducted online without interpersonal interactions, it does not remain emotionless. This article presents findings from a longitudinal qualitative study of how content moderation is conducted on a UK‐based platform that publishes patients' stories of their health experiences. Drawing upon the literatures on emotion work in organizations and on content moderation, this paper addresses the questions: what is the nature of emotion work that is undertaken during content moderation and how does emotion work play out with control on online platforms? Although management studies have made extensive contributions to platform work, content moderation remains under‐theorized, despite its significance in determining the type of information platforms exhibit. The paper contributes theoretically and empirically to this field in three ways. First, it categorizes the work practices moderators undertake on a health platform, which encompass application of rules, quantification, objectification, verification, and care. Second, our paper shows that content moderation is constitutive of emotion work and goes on to identify various types of emotion work, including managed and unmanaged authentic emotions. Third, our paper offers a model that illustrates how emotion work constitutes a sense‐making mechanism that allows moderators to exercise discretion and undertake care work, bypassing the prescriptive regulatory environment of content moderation, and sourcing occasional autonomy.

Validating a web application’s use of genetic distance to determine helminth species boundaries and aid in identification

BackgroundParasitic helminths exhibit significant diversity, complicating both morphological and molecular species identification. Moreover, no helminth-specific tool is currently available to aid in species identification of helminths using molecular data. To address this, we developed and validated a straightforward, user-friendly application named Applying Taxonomic Boundaries for Species Identification of Helminths (ABIapp) using R and the Shiny framework. Serving as a preliminary step in species identification, ABIapp is designed to assist in visualizing taxonomic boundaries for nematodes, trematodes, and cestodes. ABIapp employs a database of genetic distance cut-offs determined by the K-means algorithm to establish taxonomic boundaries for ten genetic markers. Validation of ABIapp was performed both in silico and with actual specimens to determine its classification accuracy. The in silico validation involved 591 genetic distances sourced from 117 publications, while the validation with actual specimens utilized ten specimens. ABIapp’s accuracy was also compared with other online platforms to ensure its robustness to assist in helminth identification.ResultsABIapp achieved an overall classification accuracy of 76% for in silico validation and 75% for actual specimens. Additionally, compared to other platforms, the classification accuracy of ABIapp was superior, proving its effectiveness to determine helminth taxonomic boundaries. With its user-friendly interface, minimal data input requirements, and precise classification capabilities, ABIapp offers multiple benefits for helminth researchers and can aid in identification.ConclusionsBuilt on a helminth-specific database, ABIapp serves as a pioneering tool for helminth researchers, offering an invaluable resource for determining species boundaries and aiding in species identification of helminths. The availability of ABIapp to the community of helminth researchers may further enhance research in the field of helminthology. To enhance ABIapp’s accuracy and utility, the database will be updated annually.

Brampton, Browntown, or Bramladesh? A Critique of the Hate Speech Used Against Racialized Spaces in Canada

This study investigates the online hate narratives around South Asian citizens in Canada. The value of this research is that it challenges the perception of Canadian multiculturalism and by addressing the reality of multiculturalism, it reveals the racial hierarchical structure within ‘equal’ multicultural state like Canada. In this study we connect early 20th century history of recently arrived South Asian migrants to British Columbia to the literature of white nationalism and white fantasy, the myths of multiculturalism and the racist nature of online platforms to expose a shift towards the perspective and acceptance of South Asian people in Canada. Here, the study compiles 120 comments identified as hate speech and organized the comments into categories of general South Asian hate, specific Punjabi hate, specific Indian hate, commentary on social space, insult towards linguistic abilities and claims advocating for deportation from Canada and when relevant, the comments are categorized into subcategories of ‘Becoming India’, white replacement theory and loss of Canadian culture. The results of this coding showcase that the most prevalent narrative found in the YouTube comments were commentary on social space and more precisely commentary on white replacement theory. The implication of this dominant narrative is that it signals to a growing resistance to racialized spaces in Canada. This implication allows for the argument that online platforms such as YouTube should be viewed as an extension to the body of the dominant white nationalist structure in colonial society because these platforms are able to encourage and sustain a white fantasy and white power structures through the platforms structural racist nature that encourage the growth of hate narratives online.

Innovations in the social and legal protection of persons with disabilities as a result of the war in Ukraine

The article analyzes innovative approaches to social and legal protection of persons who became persons with disabilities as a result of the war in Ukraine. In particular, the author examines individual support programs, the development of online platforms to facilitate access to education and employment, and the improvement of legislation on the rights of persons with war-related disabilities. The importance of psychological support and the development of a barrier-free environment for their full integration into society is highlighted. One of the key areas of innovation is the creation of individual support programs. The use of modern technologies makes it possible to adapt social services to the needs of each person with a disability. Innovative methods of needs analysis and public engagement allow us to create personalized support plans aimed at ensuring access to medical care, rehabilitation and socio-economic integration. Online platforms are another important component of innovations in social and legal protection. The creation of virtual spaces for education and employment simplifies the process of adaptation of persons with war-related disabilities in modern society. This includes online courses, webinars, and self-study resources that ease the way to new professions and the labor market. Improving legislation is also identified as an important element of innovation. Updating the regulatory framework for persons with disabilities is aimed at ensuring their rights and guarantees, in particular in the areas of employment, access to healthcare and social services. An important factor in innovation is the development of psychological support for people with disabilities. Virtual reality technologies and online consultations with psychologists can be effective tools for overcoming post-traumatic stress and depression. A barrier-free environment for full integration into society is becoming a necessity. Innovations in solving architectural, transportation, and other problems can be key to ensuring the accessibility of the environment for people with disabilities. Innovations in the social and legal protection of persons who became persons with disabilities as a result of the war in Ukraine help to create a supportive environment for integration into society.

Early life factors and dementia risk: A study of adverse childhood experiences and later-life cognition and behaviour.

Early life factors and dementia risk: A study of adverse childhood experiences and later-life cognition and behaviour.

Young People’s Intentional and Unintentional Encounters with Internet Pornography in Australia

Abstract Amidst the increased online engagement of adolescents, a growing global body of literature has examined adolescents’ encounters with internet pornography (IP). Though prevalence rates vary across studies, collectively the literature suggests that most adolescents have encountered IP. However, there is a lack of recent Australian research regarding adolescents’ encounters with IP, in particular research that distinguishes between intentional and unintentional encounters. The present study provides updated evidence on the prevalence of intentional and unintentional encounters with IP among Australian adolescents (n = 1004, 16–18 years) and examines sociodemographic characteristics associated with encounters. Approximately 75% of adolescents reported having ever encountered IP, with 40% of adolescents first encountering it under the age of 13 and accidentally. Most adolescents (63%) indicated that they encountered IP monthly or more often. Older adolescents, boys, sexually diverse adolescents, and disabled young people, were more likely to have ever encountered IP. Sexually diverse adolescents, young people with disability, and those who spoke a language other than English at home were also significantly more likely to first encounter IP at a younger age. Girls were more likely than boys to report first encountering IP unintentionally and were also more likely to report subsequent accidental encounters with IP. Conversely, boys were more likely to report encountering IP intentionally and recurrently. Finally, participants who reported being under 13 years of age when they first encountered IP were more likely to report recurrent and intentional encounters with IP. Our findings indicate that IP is highly visible in the online lives of Australian adolescents, with many encounters likely occurring unintentionally. Evidently, more stringent measures are needed on online platforms to prevent adolescents from unintentionally encountering IP.

Development of an Online Power Distribution Information Management System

This research focuses on designing and implementing an Online Power Distribution Information Management System (PIMS) to address the growing complexity and demands of modern power grids. Traditional manual approaches to power distribution often lead to inefficient operations, delayed fault detection, and poor data management. By integrating real-time monitoring, data analytics, and secure online platforms, the proposed system significantly enhances reliability, reduces downtime, and improves overall operational efficiency. Employing the Structured Systems Analysis and Design Methodology (SSADM), the study systematically gathered requirements, modeled system functionalities, and developed a robust architecture comprising a user-friendly interface, scalable database management, and strong security protocols. Key components include an analytics engine for load forecasting and fault prediction, as well as seamless integration with existing systems such as SCADA. Evaluation metrics demonstrate the system’s effectiveness in swiftly identifying network anomalies—achieving a 97% fault detection accuracy—and reducing outage durations by 30% compared to older solutions. Advanced analytics achieved predictive accuracies above 95%, thereby optimizing resource allocation and informing proactive maintenance. Real-time data capture and storage enable operators to promptly respond to changing conditions, while stringent security measures and encryption protocols bolster cyber-resilience. The Online Power Distribution Information Management System paves the way for a more sustainable, efficient, and secure power distribution framework, positioning utilities to better handle emerging challenges such as renewable energy integration and growing consumer demands.

From Data to Discovery: A Comprehensive Bibliometric Research on Bone Grafting in Oral Implantology.

The investigation of implant osseointegration is crucial for ensuring the long- term stability of implants. Employing bibliometric analysis allows for a comprehensive understanding of the current research landscape and emerging trends in this domain, thereby informing future research directions. Utilizing the Web of Science database, we conducted a comprehensive search for articles pertaining to oral implant bone grafting published between January 1, 2014, and November 20, 2024. Our analysis encompassed several bibliometric parameters, including the number of publications, publication year, journal, impact factor, title, author, institution, keywords, and citation count. We employed VOSviewer to perform keyword co-occurrence network analysis and co-citation network analysis, and CiteSpace was utilized for national collaboration analysis and coupled clustering. Additionally, we leveraged online platforms for further visualizations. A comprehensive search yielded 384 articles published across 143 journals, authored by 2,066 individuals affiliated with 714 institutions spanning 52 countries, and encompassing 1,886 distinct keywords. The journals "Clinical Oral Implants Research" and "International Journal of Oral & Maxillofacial Implants" exhibited the highest publication volumes. Seoul Natonal University emerged as the most prolific institution in this doain. China was identified as the leading country in terms of publication output, while the United States demonstrated the highest level of international collaboration. The term "osseointegration" was the most frequently occurring keyword. This study presents a quantitative and statistical analysis of literature pertaining to oral implant bone grafting over the past decade. The findings offer valuable insights into the key areas of interest and the latest advancements in the clinical application of this field.

Empathy Training Seminar in the Military Health System: A Qualitative Self-Assessment Pilot Study.

Empathy and compassion are critical aspects of quality patient care. However, empathy is currently underrepresented in medical education. Currently, no guidelines exist for integrating empathy training into medical schools or residency programs. The goal of this study was to pilot a workshop for medical students, residents, and fellows designed to enhance functional empathy skills and awareness. The relationship between physician empathy and improved patient outcomes is well-documented in the literature and is not the focus of this manuscript. This study concentrates on the development of new empathy training and its integration into the medical curriculum. The participants were medical students, residents, and fellows who rotated through the Walter Reed Pain Clinic. All participants attended a 1-h virtual workshop via an online platform focused on empathy. The workshop was composed of preparatory reading materials, a simulation video, and a case discussion led by three facilitators. This workshop occurred once a month and each rotation included a different set of attendees. A total of 13 monthly seminars were run from May 2023 to August 2024. The impact of this activity was measured with a series of three surveys, which asked learners to directly assess the efficacy of the workshop and to self-evaluate their competencies in key areas. There was a pre-workshop survey to establish a baseline for participants' empathy self-assessments, an immediate post-workshop survey with an aim to measure the perceived quality of the curriculum, and a 1-month check-in designed to measure if the workshop improved participants' self-assessed empathy skills. The primary outcome was the change in participants' self-assessed empathy 1 month after the workshop. Data from the 1-month follow up demonstrate that there was significant improvement in self-assessments of empathy by learners after the workshop. The secondary outcome was the participant analysis of the workshop curriculum. A total of 94% of participants indicated they would recommend the workshop to their colleagues. In all, 76% of participants indicated they will be changing the way they practice because of the workshop. In all, 31% of participants reported one or more actionable empathetic behaviors they plan to work on as a direct result of the workshop. The findings from this study suggest that the empathy workshop can enhance medical learners' ability to practice empathy and compassion in clinical settings. The 1-month follow-up survey demonstrated significant improvements in self-assessed empathy and comments from learners supported the efficacy of the workshop. Future studies can reduce bias by utilizing a larger participant population across multiple specialties, a longer follow-up period, and patient-centered outcomes. Continuing to pursue a more advanced empathy curriculum is critical given the previously established link between empathy and improved patient outcomes.

PROTECTING MALAYSIA'S TECHNOLOGICAL AUTONOMY: INNOVATIVE GOVERNANCE FRAMEWORKS TO COUNTER DIGITAL HEGEMONIES

This study investigates the manifestations and impacts of digital colonialism in Malaysia and proposes legal and regulatory reforms to safeguard the nation's digital sovereignty. Digital colonialism, characterized by the exploitation of data, digital infrastructure, and online platforms by powerful technology companies from the Global North, poses significant challenges to Malaysia's economic, social, cultural, and political fabric. Through a qualitative methodology combining theoretical analysis, case studies, and comparative policy research, the study finds that digital colonialism in Malaysia takes the form of economic domination by foreign technology giants, imperial control and surveillance capitalism, technological dependency, and the erosion of cultural identity in the digital sphere. The existing legal framework, including the Personal Data Protection Act 2010, Communications and Multimedia Act 1998, and Competition Act 2010, proves inadequate in addressing these challenges. Drawing lessons from the regulatory approaches of other Global South nations like India and Indonesia, the study recommends a comprehensive reform strategy encompassing the strengthening of data protection and privacy laws, regulating dominance in the digital market, promoting indigenous innovation capacities, fostering digital literacy, and forging strategic regional coalitions. By adopting a proactive and context-sensitive approach to digital governance, Malaysia can effectively assert its technological sovereignty and foster an inclusive digital economy that serves its national interests and citizenry.

Literacy Skills of Digital-Age Primary School Students in Mandailing Natal Regency

This research aimed to investigate literacy skills, the underlying causes of low literacy levels, and the implications for primary school students in the digital age. The researcher employed a qualitative field research methodology, collecting data through participatory observation, in-depth interviews, and the utilization of Google Forms. The data analysis involved systematic reduction, presentation of findings, and the formulation of conclusions, all while employing coding techniques and categorizing themes. The findings indicate that the literacy skills of elementary school students in Indonesia remain significantly underdeveloped. A considerable number of students encounter difficulties in comprehending simple texts, organizing their thoughts in writing, and understanding the material presented by teachers. Additionally, they face challenges in grasping fundamental mathematics and science concepts, as well as effectively utilizing digital tools in their educational experiences. Several factors contribute to the observed low literacy levels, including a lack of supportive familial environments, inadequate integration of technology in educational settings, ineffective instructional models, and limited access to digital resources and training. The repercussions of insufficient literacy skills are evident in students’ difficulties in solving problems, accessing information, and articulating their thoughts, both verbally and in written form. To mitigate this issue, it is recommended that educators integrate digital tools into their pedagogical strategies. This can be achieved through the implementation of project-based learning and the use of educational podcasts disseminated via online platforms.

When I know how much you donated: the impact of donation information type on individual online donation intention

ABSTRACT Online fundraising with group interaction and information sharing transforms traditional individual private donation information into group-visible information, which further affects the online donation behaviour of individuals receiving donation information from others in the fundraising platform. Based on the type of donation information from others and the relationship strength between individuals and others, this study analyses the changes in the donation intention of individuals receiving beneficial or damaging donation information from others with different levels of relationship strength. The results of multi-situation simulation experiments reveal that, the beneficial donation information of others with weak (strong) relationship strength will arouse individuals’ low (high) group identity, making their online donation amount close to (far exceeding) the platform’s recommended donation benchmark, with strong (weak) donation autonomy. The damaging donation information of others with weak (strong) relationship strength will arouse individuals’ low (high) deontic justice, making their online donation amount less than (far exceeding) the platform’s recommended donation benchmark, with weak (strong) donation autonomy. Research conclusions further enrich the theory of public welfare behaviour from the online context and group level, and provide inspiration for emerging online platforms to optimise the design of fundraising activities and promote individual rational donations.

Lung Cancer Biomarker Database (LCBD): a comprehensive and curated repository of lung cancer biomarkers

BackgroundLung cancer remains a leading cause of cancer-related mortality, primarily because of the lack of effective diagnostic and therapeutic biomarkers. To address the issue of fragmented biomarker data across numerous publications, we have developed the Lung Cancer Biomarker Database (LCBD, http://lcbd.biomarkerdb.com).MethodsWe comprehensively reviewed biomarker-related studies up to June 30, 2023, and extracted relevant biomarker information. The identified biomarkers were systematically annotated, including genes, proteins, GO terms, KEGG pathways, biomarker types, molecular types, developmental stages, discovery methods, sources, populations, and sample sizes. The LCBD online platform was developed to integrate lung cancer biomarker data, and provide search, browsing, and data download functions for researchers. To validate the data in the LCBD, we conducted three case studies comparing models with and without LCBD data.ResultsAfter deduplication and summarization, we collected 1,447 unique biomarkers that were systematically annotated. We then developed the LCBD specifically for use in lung cancer diagnosis. The validity of the biomarkers in the LCBD was confirmed using prognostic models, diagnostic models, and immune infiltration models.ConclusionThe LCBD provides a centralized platform for lung cancer biomarkers, facilitating early screening and personalized treatment. This database is poised to become a valuable resource for lung cancer research and therapeutic strategies.

Tetrahydrocurcumin-induced apoptosis of hepatocellular carcinoma cells involves the TP53 signaling pathway, as determined by network pharmacology.

Hepatocellular carcinoma (HCC) is a malignant disease with high incidence and mortality worldwide. This study focuses on the TP53 target protein to investigate the potential therapeutic effect of tetrahydrocurcumin (THC) on HCC and its mechanism of action. The research hypothesis is that THC can inhibit the proliferation, migration, and invasion of HCC cells, and promote their apoptosis by regulating the TP53 target protein. To explore the mechanism by which THC inhibits HCC cell proliferation via the TP53 signaling pathway. Potential targets of THC and HCC were identified from multiple databases. The core targets were subjected to analyses using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases, and visualization processing, using the online platform Metascape to identify the key molecules and signaling pathways involved in the action of THC against HCC. The molecular mechanisms of action of THC against TP53 in the inhibition of HCC cells were verified using cell counting kit-8, Transwell, apoptosis, and western blotting assays. Molecular docking results showed that THC had a high score for the TP53 target protein. In vitro experiments indicated that THC effectively inhibited the proliferation and migration of HCC cells, and affected the expression levels of TP53, MDM2, cyclin B, Bax, Bcl-2, caspase-9, and caspase-3. THC induces the apoptosis of HCC cells through the TP53 signaling pathway, thereby inhibiting their proliferation and migration.

Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study.

Loneliness is a global public health issue contributing to a variety of mental and physical health issues. It increases the risk of life-threatening conditions and contributes to theburden on the economy in terms of the number of productive days lost. Loneliness is a highly varied concept, which is associated with multiple factors. This study aimed to understand loneliness through a comparative analysis of loneliness data on Twitter and Reddit, which are popular social media platforms. These platforms differ in terms of their use, as Twitter allows only short posts, while Reddit allows long posts in a forum setting. We collected global data on loneliness in October 2022. Twitter posts containing the words "lonely," "loneliness," "alone," "solitude," and "isolation" were collected. Reddit posts were extracted in March 2023. Using natural language processing techniques (valence aware dictionary for sentiment reasoning [VADER] tool from the natural language toolkit [NLTK]), the study identified and extracted relevant keywords and phrases related to loneliness from user-generated content on both platforms. The study used both sentiment analysis and the number of occurrences of a topic. Quantitative analysis was performed to determine the number of occurrences of a topic in tweets and posts, and overall meaningful topics were reported under a category. The extracted data were subjected to comparative analysis to identify common themes and trends related to loneliness across Twitter and Reddit. A total of 100,000 collected tweets and 10,000 unique Reddit posts, including comments, were analyzed. The results of the study revealed the relationships of various social, political, and personal-emotional themes with the expression of loneliness on social media. Both platforms showed similar patterns in terms of themes and categories of discussion in conjunction with loneliness-related content. Both Reddit and Twitter addressed loneliness, but they differed in terms of focus. Reddit discussions were predominantly centered on personal-emotional themes, with a higher occurrence of these topics. Twitter, while still emphasizing personal-emotional themes, included a broader range of categories. Both platforms aligned with psychological linguistic features related to the self-expression of mental health issues. The key difference was in the range of topics, with Twitter having a wider variety of topics and Reddit having more focus on personal-emotional aspects. Reddit posts provide detailed insights into data about the expression of loneliness, although at the cost of the diversity of themes and categories, which can be inferred from the data. These insights can guide future research using social media data to understand loneliness. The findings provide the basis for further comparative investigation of the expression of loneliness on different social media platforms and online platforms.