Specific Page Research Articles

The corporate strategy of increasing the visibility of websites by implementing digital marketing

Increasing the visibility of websites by implementing digital marketing is deeply affecting every sphere of life, especially in all economic activities. Websites with more community-focused pages—such as blogs, forums, and connections to other social media sites—are seen more frequently Pant et al. (2017). By utilizing an e-commerce website for digital marketing, business owners may more effectively promote their items and quickly see sales figures Supriyatin, W., & Wisesha, K. (2022).The main aim of the study is to analyze the importance of the increasing the visibility of websites by implementing digital marketing in case of business. The mthodology used consist on qualitative method. Primary data were used to test the hypotheses in the study, while the online questionnaire was used as the research tool for data collection. The questionnaire was prepared in "google forms" and covered a six-month time period for data collection. Respondents were randomly selected after the questionnaire was administered online to a random sample of 150 participants. The study finds that the impact on increasing the visibility of websites in the selection of a search engine by implementing digital marketing is more than just a search. Internet searches in the visibility of specific pages, are a key element in the company's relationship with consumers, which represent perceptions and feelings of consumers about a product or service in which it is related to their performance, which represent everything that means for the product or service to consumers.

WARCreate

WARCreate is an open-source Google Chrome add-on that allows users to archive web pages as .WARC files with a single click, created by Mat Kelly and Michele Weigle at Old Dominion University. This tool addresses the limitations of other web archiving services like the Wayback Machine by enabling users to independently archive specific web pages, including those behind passwords or with unique geolocations. Its applications in Library and Information Science (LIS) include preserving digital content for research and teaching, and supporting the ethical archiving of sensitive information. Despite some initial usability challenges and a need for more comprehensive support materials, WARCreate remains a valuable tool for capturing and preserving web data.

Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey

Mobile apps are ubiquitous in our daily lives for supporting different tasks such as reading and chatting. Despite the availability of many GUI testing tools, app testers still struggle with low testing code coverage due to tools frequently getting stuck in loops or overlooking activities with concealed entries. This results in a significant amount of testing time being spent on redundant and repetitive exploration of a few GUI pages. To address this, we utilize Android’s deep links, which assist in triggering Android intents to lead users to specific pages and introduce a deep link-enhanced exploration method. This approach, integrated into the testing tool Monkey, gives rise to Delm (Deep Link-enhanced Monkey). Delm oversees the dynamic exploration process, guiding the tool out of meaningless testing loops to unexplored GUI pages. We provide a rigorous activity context mock-up approach for triggering existing Android intents to discover more activities with hidden entrances. We conduct experiments to evaluate Delm’s effectiveness on activity context mock-up, activity coverage, method coverage, and crash detection. The findings reveal that Delm can mock up more complex activity contexts and significantly outperform state-of-the-art baselines with 27.2% activity coverage, 21.13% method coverage, and 23.81% crash detection.

Bayes goes big: Distributed MCMC and the drivers of E-commerce conversion

This work researches the drivers of e-commerce conversion of one of the largest e-commerce companies in the Netherlands. We focus on product page conversion, i.e., the probability that a customer who visits a specific product page also buys the product. This probability differs between products, which we explain by a variety of factors like pricing, delivery times, reviews, seller type, and the quality of the content. Understanding the drivers of conversion is the first step in increasing it, and therefore an important step in increasing overall sales. We describe the process of transforming Big Data into valuable insights using Bayesian statistics and apply a Bayesian Binomial model to a dataset of 15 million records using a distributed MCMC algorithm. In addition, we apply a simple Binomial GLM on a small sample of these 15 million records for comparison. We find that using the full 15 million records results in a significant reduction in the variance of the estimated parameters. In terms of the actual drivers of e-commerce conversion, we observe that products with competitive pricing, short delivery times, and good content all achieve a higher conversion on average. Furthermore, reviews, average review score, and the number of reviews for a product have a large positive effect on conversion compared to other characteristics. This provides a unique insight into what makes people decide whether or not to purchase a product.

AI-Powered Web Applications for Enhanced Clinical, Research, and Professional Development

Introduction: The rapid growth of technology in the field of anesthesiology offers unique opportunities to leverage artificial intelligence (AI) for enhancing clinical, research, and administrative operations. Our team, consisting of anesthesiologists and data scientists, sought to develop a suite of web applications using generative AI to address specific challenges faced by anesthesiology departments. Objective: To design, develop, and evaluate the feasibility of a range of AI-powered web applications tailored for anesthesiologists to streamline research feasibility, literature searches, protocol drafting, text simplification, work promotion, grant writing, professional advancement, and secure communication. AI Tools developed: Data Feasibility Analysis: AI-assisted search of descriptions and schemas of multiple data warehouses to assess the feasibility of various clinical and research ideas. AI-Powered PubMed Search: AI-assisted search to effciently navigate and extract relevant publications from PubMed, including summarizing the literature found. IRB Protocol Generation: Automated drafting process for Institutional Review Board (IRB) protocol forms, ensuring adherence to regulatory standards. Text Simplification: Tool to distill complex clinical, research, or regulatory text to an 8th-grade reading level, enhancing accessibility — e.g., for patient consent forms. Work Promotion and Amplification: drafts blog posts, “tweets,” and layperson summaries of research abstracts. NIH Grant Drafting: Drafts Specific Aims page and Research Strategy sections for National Institutes of Health (NIH) style applications, ensuring compliance and coherence. Professional Advancement Assistance: Drafts Promotion & Tenure portfolios and letters of recommendations Secure AI Conversations: Integrated generative AI technology in an encrypted and secured platform, safeguarding sensitive information. Conclusions: The suite of AI-powered web applications, developed in collaboration between anesthesiologists and data scientists, showcases potential in enhancing the effciency and impact of various processes integral to anesthesiology research. The integration of these tools into daily operations can potentially revolutionize how anesthesiologists engage with research, patient care, professional development, and communication. Future endeavors will focus on rigorous validation and widespread deployment to harness the full potential of these innovations. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Pace Carabelli and Dow, There is No Common Discourse Language Logic in Keynes’s A Treatise on Probability

For 45 years, both A. Carabelli and S. Dow have been arguing that Keynes’s non demonstrative logic in the A Treatise on Probability is a common discourse logic (rhetoric). They provide no textual evidence anywhere in Keynes’s A Treatiseon Probability to support this claim. They have never supported, through the citation of specific pages or paragraphs in Keynes’s book, their claims that Keynes’s logic is NOT a formal logic. What is in the A Treatise on Probability is a version of Boole’s relational, propositional logic that Keynes combined with a first order (predicate) logic. These are mathematical, formal, symbolic logics. They have nothing to do with common discourse logics using the English language. A simultaneous reading of chapters I and II of Keynes’s book and chapters I, XI, and XII of Boole’s The Laws of Thought lead to one, and only one, conclusion- Keynes’s logic is a formal logic derived from G. Boole. The only conclusion that follows from Keynes’s application of Boolean logics is that Carabelli and Dow have been severely confused for 45 years in what a formal logic is and what a common discourse logic is.

Is HealthPathways viewed as a useful and trustworthy source of information by health professionals?

Objective HealthPathways is a web-based platform designed for use during a consultation to offer health professionals locally agreed information to support clinical and referral decision making. This study aimed to investigate whether access to specific HealthPathways pages in the North Coast New South Wales (NSW) region increased during specific critical events. High pageviews is used as a proxy for platform usefulness, and/or trust as a source of up-to-date information. Methods Data were extracted from Google Analytics from December 2015 to December 2021. Descriptive statistics were generated for the total number of pageviews for all pages by month and year (2015-2021); for the top 15 most viewed pages in 2019, February-March 2020 inclusive (early COVID-19 pandemic period), 10-24 March 2021 (North Coast NSW region local disaster declaration period)and 26 June-11 October 2021 (NSW COVID-19 lockdown period); and for monthly pageviews for the Influenza Immunisation pathway (2016-2021). Results Access to specific pages in HealthPathways increased alongside the occurrence of critical events affecting the region. Spikes in access to specific pages were seen during COVID-19 lockdown periods, during natural disasters, as well as during the annual influenza season. Conclusions HealthPathways is viewed as a useful and trusted source of information for health professionals in the North Coast NSW region. HealthPathways provides an opportunity for timely dissemination of information during critical events, including natural disasters and emergencies.

СМЕСЬ ПЛЕМЕН И НАРОДОВ ИМПЕРИЙ: О СПРАВОЧНИКЕ "ВОЕННОПЛЕННЫЕ ПЕРВОЙ МИРОВОЙ ВОЙНЫ: МЕЖФОНДОВЫЙ ИМЕННОЙ УКАЗАТЕЛЬ К МЕТРИЧЕСКИМ КНИГАМ ХРАМОВ ОМСКОГО РЕГИОНА (1914-1920 ГГ.)"

The article analyzes the scientific reference publication “Prisoners of war of the First World War. An inter-fund name index to the metric books of the temples of the Omsk region (1914–1920)”. The work was prepared as part of the book series “Open Archive”. Based on the study and analysis of the act records of the metric books kept in the Historical Archives of the Omsk region, biographical information was collected with the search data for the documents on the military personnel of the German and AustroHungarian armies who were prisoners of war in the Omsk region in 1914– 1920. The publication presents the data from the civil records of the metric books of the Omsk Ecclesiastical Consistory, the Omsk Roman Catholic Parish Church, the Omsk Evangelical Lutheran Church and the Synagogue of the Omsk Jewish Society. Turning of the authors’ team to the study of the church documents for understanding the social and political processes seems justified in connection with the special role of the religious factor in the military revolutionary period. The publication contains detailed biographical data, and a personal search record is compiled for each person. It is noted that the procedure described by the Omsk researchers can be adopted by other archival institutions. The analyzed church records open up new opportunities for studying the specific pages in the history of the First World War and expand the possibilities for biographical (genealogical) search.

Guide Development for eHealth Interventions Targeting People With a Low Socioeconomic Position: Participatory Design Approach.

People with a low socioeconomic position (SEP) are less likely to benefit from eHealth interventions, exacerbating social health inequalities. Professionals developing eHealth interventions for this group face numerous challenges. A comprehensive guide to support these professionals in their work could mitigate these inequalities. We aimed to develop a web-based guide to support professionals in the development, adaptation, evaluation, and implementation of eHealth interventions for people with a low SEP. This study consisted of 2 phases. The first phase involved a secondary analysis of 2 previous qualitative and quantitative studies. In this phase, we synthesized insights from the previous studies to develop the guide's content and information structure. In the second phase, we used a participatory design process. This process included iterative development and evaluation of the guide's design with 11 professionals who had experience with both eHealth and the target group. We used test versions (prototypes) and think-aloud testing combined with semistructured interviews and a questionnaire to identify design requirements and develop and adapt the guide accordingly. The secondary analysis resulted in a framework of recommendations for developing the guide, which was categorized under 5 themes: development, reach, adherence, evaluation, and implementation. The participatory design process resulted in 16 requirements on system, content, and service aspects for the design of the guide. For the system category, the guide was required to have an open navigation strategy leading to more specific information and short pages with visual elements. Content requirements included providing comprehensible information, scientific evidence, a user perspective, information on practical applications, and a personal and informal tone of voice. Service requirements involved improving suitability for different professionals, ensuring long-term viability, and a focus on implementation. Based on these requirements, we developed the final version of "the inclusive eHealth guide." The inclusive eHealth guide provides a practical, user-centric tool for professionals aiming to develop, adapt, evaluate, and implement eHealth interventions for people with a low SEP, with the aim of reducing health disparities in this population. Future research should investigate its suitability for different end-user goals, its external validity, its applicability in specific contexts, and its real-world impact on social health inequality.

Abstract A109: The growth and evolution of GMaP Region 3 Technical Training Summits

Abstract Introduction: The Geographic Management of Cancer Health Disparities Program (GMaP) is a national program funded by the National Cancer Institute’s (NCI) Center to Reduce Cancer Health Disparities with the mission to expand and diversify the pipeline of cancer researchers. GMaP Region 3 is one of seven regions, and is comprised of members from seven Southwestern US states. The University of New Mexico Comprehensive Cancer Center serves as the hub for GMaP Region 3, and has hosted three seminal training Summits. Methods: GMaP Technical Training Summits provided hands-on learning experiences for cancer health disparities (CHD) trainees and promoted collaboration among Region 3’s NCI-designated cancer centers. GMaP Region 6 collaborated with Region 3 to host the final two Summits. Each of the three Summits had differing aims, but the core goals were to strengthen grant writing skills, enhance professional development, in addition to providing opportunities for networking and mentorship. Summit activities included keynote addresses by senior researchers, many of whom are members of historically underrepresented populations, interactive grant writing sessions, and mock grant reviews. Attendee feedback was captured via REDCap surveys and qualitative experience summary reports. Results: Each Summit had increasing attendance: 2016 Summit, n=29, 2019 Summit, n=35; 2023 Summit, n=48. Summit length grew from 1 full day to 2.5 days of sessions. Although the majority of participants were from Regions 3 and 6 there were also attendees from Region 2 and 5 demonstrating the desirability of this type of intensive grant writing training. Attendees were largely satisfied with their experience and in 2023 the overall reception of the summit material was 87% positive. Attendees highlighted the benefits of receiving individualized feedback on their Specific Aims page and the ability to meet people doing similar work. Summits were described as “invigorating” and “motivational”. Participants across the years highlighted the value of hearing from influential researchers in the field and cited these keynote addresses as being “inspirational”. Challenges of hosting these Summits included logistical barriers specifically pertaining to ensuring that scholars had the financial support they needed to attend prior to each event. In addition, tailoring the Summit curriculum and coordinating appropriate speakers was an ongoing learning process. Recommendations: Grant writing is both a science and an art and many scholars, particularly those from underrepresented groups, do not have access to the focused training necessary to develop successful proposals. The GMaP Region 3 Summits provided opportunities for scholars to learn from experienced grant writers and network with their peers. Future efforts to provide tailored grant writing education to newer cancer researchers should be prioritized to support their career development and diversify the types of CHD research proposed and ultimately funded. Citation Format: Shoshana Adler Jaffe, Dolores D. Guest, John Torres, Miria Kano, Andrew Sussman, Shiraz I. Mishra. The growth and evolution of GMaP Region 3 Technical Training Summits [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A109.

Analytical Study on Role of Social Sites in Consumer Engagement in India

The significance of social media's influence on consumer behavior and corporate strategy in India cannot be overstated, given the country's multifaceted culture, quickly expanding population, and evolving digital landscape. Fans of a specific Facebook brand page were polled using questionnaires to collect the data utilized in this study. Online consumer engagement was found to be significantly influenced by both media and post content type. It also stressed that client involvement would increase in proportion to the extent to which social media marketing was used. This research uncovered five aspects that greatly affect consumer involvement. The article also highlights the larger social consequences of social media, such as its involvement in social and political movements and its support to government projects like Digital India. In essence, the article highlights the fact that social media has become a key factor in the political, economic, and social transformation of India.

Orthopedic Sub-Specialties Vary in Representation of Female Fellowship Program Directors

Background Female representation varies among subspecialities as far as existing surgeons and entry of female candidates. Mentorship has been identified as a factor affecting women’s decision to choose a sub-specialty. Orthopaedic fellowship program director gender is an important factor for female applicants in choosing a subspecialty has not been analyzed. Purpose To report on fellowship program director (PD) genders within orthopedic subspecialties and quantify the number of training positions represented by female PDs. Also, to compare the academic ranks and h-indices, of male and female PDs within each specialty. Methods Data was collected by utilizing the San Francisco Match program data, subspecialty program lists, and specific fellowship pages. For each subspecialty, we calculated the percentage of fellowship program and fellowship positions led by female program directors. We compared academic ranks and h-indices between male and female program directors. Statistical significance was defined as a P-value of <0.05. Results Female program directors led 4.7% of programs and 3.4% of fellowship positions. Female leadership varied by subspecialties, highest in orthopedic oncology (20% programs, 18.5% positions) and pediatric orthopedics (13.3% program, 9.6% positions). Lowest female representation in sports (2.2% programs, 1.2% positions) and joints (0.9% programs, 0.5% positions). Female fellowship PDs were more likely to be assistant professors than their male counterparts (39% vs. 22%), and less likely to be full professors (17% vs, 33%), but these differences were not statistically significant (P=0.13). In the 6 subspecialities for which an H-indices was calculated, 5/6 subspecialties there was not significant difference in h-indices. Conclusion Women remain underrepresented in the roles as orthopedic fellowship program directors there is significant variation amongst the subspecialities. Female program directors did not have a significantly different academic rank and H-indices did not differ significantly by program director gender in 5/6 subspecialities.

Wikipedia page views for health research: a review.

Wikipedia is an open-source online encyclopedia and one of the most-read sources of online health information. Likewise, Wikipedia page views have also been analyzed to inform public health services and policies. The present review analyzed 29 studies utilizing Wikipedia page views for health research. Most reviewed studies were published in recent years and emanated from high-income countries. Together with Wikipedia page views, most studies also used data from other internet sources, such as Google, Twitter, YouTube, and Reddit. The reviewed studies also explored various non-communicable diseases, infectious diseases, and health interventions to describe changes in the utilization of online health information from Wikipedia, to examine the effect of public events on public interest and information usage about health-related Wikipedia pages, to estimate and predict the incidence and prevalence of diseases, to predict data from other internet data sources, to evaluate the effectiveness of health education activities, and to explore the evolution of a health topic. Given some of the limitations in replicating some of the reviewed studies, future research can specify the specific Wikipedia page or pages analyzed, the language of the Wikipedia pages examined, dates of data collection, dates explored, type of data, and whether page views were limited to Internet users and whether web crawlers and redirects to the Wikipedia page were included. Future research can also explore public interest in other commonly read health topics available in Wikipedia, develop Wikipedia-based models that can be used to predict disease incidence and improve Wikipedia-based health education activities.

Implementing a chatbot on Facebook to reach and collect data from thousands of health care providers: PharmindBot as a case

BackgroundThe world is moving fast toward digital transformation as we live in the artificial intelligence (AI) era. The COVID-19 pandemic accelerates this movement. Chatbots were used successfully to help researchers collect data for research purposes. ObjectiveTo implement a chatbot on the Facebook platform to establish connections with health care professionals who had subscribed to the chatbot, provide medical and pharmaceutical educational content, and collect data for online pharmacy research projects. Facebook was chosen because it has billions of daily active users, which offers a massive potential audience for research projects. Practice descriptionThe chatbot was successfully implemented on the Facebook platform following 3 consecutive steps. Firstly, the ChatPion script was installed on the Pharmind website to establish the chatbot system. Secondly, the PharmindBot application was developed on Facebook. Finally, the PharmindBot app was integrated with the chatbot system. Practice innovationThe chatbot responds automatically to public comments and sends subscribers private responses using AI. The chatbot collected quantitative and qualitative data with minimal costs. Evaluation methodsThe chatbot's auto-reply function was tested using a post published on a specific page on Facebook. Testers were asked to leave predefined keywords to test its functionality. The chatbot's ability to collect and save data was tested by asking testers to fill out an online survey within Facebook Messenger for quantitative data and answer predefined questions for qualitative data. ResultsThe chatbot was tested on 1000 subscribers who interacted with it. Almost all testers (n = 990, 99%) obtained a successful private reply from the chatbot after sending a predefined keyword. Also, the chatbot replied privately to almost all public comments (n = 985, 98.5%) which helped to increase the organic reach and to establish a connection with the chatbot subscribers. No missing data were found when the chatbot was used to collect quantitative and qualitative data. ConclusionsThe chatbot reached thousands of health care professionals and provided them with automated responses. At a low cost, the chatbot was able to gather both qualitative and quantitative data without relying on Facebook ads to reach the intended audience. The data collection was efficient and effective. Using chatbots by pharmacy and medical researchers will help do more feasible online studies using AI to advance health care research.

Impact on online research on celebrities' uncommon diseases: the curious case of Justin Bieber and Ramsay Hunt syndrome.

We investigated how to use Internet user searches to gauge the impact of a celebrity illness on global public interest. The study design is cross-sectional. Data on Internet searches were obtained from Google Trends (GT) for the period between 2017-2022 using the search words "Ramsay Hunt syndrome" (RHS), "Ramsay Hunt syndrome type 2," "Herpes zoster," and "Justin Bieber." The frequency of specific page views for "Ramsay Hunt syndrome," "Ramsay Hunt syndrome type 1," Ramsay Hunt syndrome type 2," Ramsay Hunt syndrome type 3," "Herpes zoster," and "Justin Bieber" were collected via a Wikipedia analysis tool that shows the number of times a specific page is viewed. Statistical analyses were performed using the Pearson (r) and Spearman's rank correlation coefficient (rho). GT data, in 2022, show a strong correlation for Justin Bieber and RHS or RHS type 2 (r = 0.75); similarly, Wikipedia data show a strong correlation for Justin Bieber and the others explored terms (r > 0.75). Furthermore, the correlation was strong between GT and Wikipedia for RHS (rho = 0.89) and RHS type 2 (rho = 0.88). The peak search times for the GT and Wikipedia pages were during the same period. Useful new tools and analyses of Internet traffic data may be effective in assessing the impact of announced celebrity uncommon illnesses on global public interest.

Design of Secured Bilingual Voice Enabled System for Visually Challenged using Ensemble Model

Abstract: One of the most significant developments in recent years has been the evolution of voice assistants. The primary necessity in the design of Private Voice Assistant is to identify the user’s utterances correctly. Additionally, security and privacy of the users have become a major concern, especially visually challenged. In this paper, we propose a secured voice assistant that blends convolutional neural network (CNN) and Gaussian mixture model (GMM). The proposed system performs a multitudinous range of functionalities mainly focusing on Email and Document management with user authentication wherever necessary. The system is designed to support English and Tamil languages. The system includes a range of functionalities, such as MS Word automation for both English and Tamil voice typing, Google and YouTube automation, reading specific pages of PDF and reading the latest Gmail messages.

99 Grant Writing Program to Enhance Junior Faculty Research Funding Success

OBJECTIVES/GOALS: The grant writing process provides investigators with critical thinking, problem solving, and communication skills, crucial for personal and professional development. However, opportunities for junior faculty to learn these skills are highly variable. Thus, we developed a grant writing program to assist in the preparation of an NIH R proposal. METHODS/STUDY POPULATION: The R Club Grant Program was implemented in 2021 for junior faculty of the University of Cincinnati’s College of Medicine and Center for Clinical & Translational Science & Training (CCTST). The program consists of a series of workshops (e.g., How to Craft a Specific Aims Page, How to Construct a Competitive R01 Proposal) utilizing examples of successful proposals and grant review criteria to demonstrate how to translate a conceptual framework into a research proposal (level 1). All participants can receive constructive feedback on a Specific Aims page from an experienced grant writer (level 2), and for a select cohort, the program provides comprehensive scientific content edits and iterative feedback on a full research proposal, with a focus on grantsmanship, presentation, and overall competitiveness (level 3). RESULTS/ANTICIPATED RESULTS: Over three NIH grant cycles, the program to date has provided 38 early-career investigators with multi-level grant writing support. All participants attended the workshops and received supporting documents, 21 received feedback on a Specific Aims page, and 6 received one-on-one writing assistance on their full research proposal. Of the 6 investigators who received the greatest level of support, 3 have received NIH scientific review, with a 66.6% funding success rate for either an original (R01, n=1) or subsequent overlapping (R35, n=1) proposal. In a survey sent to workshop attendees, 100% of respondents (n=23) reported ( Strongly Agreed or Agreed ) that the training was a worthwhile investment in their professional development and 96% stated that they will be able to apply the knowledge and skills learned. DISCUSSION/SIGNIFICANCE: Initial evaluation measures suggest that grant writing support programs have great potential to enhance funding success rates. As the program evolves it will be crucial to evaluate both qualitative and quantitative feedback measures to ensure efforts are directed to the appropriate level(s) of service to maximize the funding success of our faculty.

Identification of Facebook posts on nephrology-related terms that benefit patient outreach

Objective: The impact of social media on public health has been examined in various studies. However, none have explored user engagement based on the type of Facebook posts related to renal disease. Therefore, the present study sought to determine which type of nephrology-related posts have greater user engagement. Setting: Facebook pages. Methods: The posts on a specific Facebook page curated by a team of nephrologists in Malaysia were examined in this cross-sectional study. The type of post, likes, comments, shares of a post and reach of a post were used for data analysis. Analysis of variance was used to quantify the relative contribution of each independent variable to the odds of the post being highly liked or shared. The Kruskal–Wallis test was used to compare links, photos, shared videos, status and videos for parameters such as reach, the number of times a specific piece of content has been displayed on a screen (impressions), and user engagement. Results: Shared videos and photos received the highest median reach of 5,862 and 5,880, respectively. People who ‘liked’ the page in 2019, 2020 and 2021 numbered 193, 4,196 and 2,835, respectively. Among the types of content on the Facebook page, photos and shared videos received the highest median lifetime reach of the post compared to links, status and videos in terms of ‘people who liked the page’. Conclusion: The study findings suggest that posting a video or photo maximises the chance of engagement and meaningfully impacts public health outcomes.

Confidence-building in a collaborative, multidisciplinary mock page activity for fourth-year medical students

ABSTRACT Graduating medical students require multiple skills that are not traditionally taught in medical school. Mock paging activities, where school of medicine (SOM) students receive pages as if from nursing staff in a practice environment, are being used as a tool to teach communication and to enhance confidence. Prior small-scale, specialty specific mock page activities have demonstrated improvement in confidence, communication with other healthcare personnel, and medical decision-making.3-5 This Mock Page Activity aimed to evaluate the effect on confidence and communication for large graduating SOM class entering different specialties. SOM faculty collaborated with the School of Nursing (SON) faculty in the design and implementation of this activity. Medical students completed pre-/post surveys regarding confidence in communication, interaction with other healthcare professionals, and patient management. Two years of medical student survey data (n=420) after the Mock Page Activity implementation demonstrated a significant increase in general confidence (30.4%, p <0.001) related to receiving communication from nursing staff, making clinical decisions over the phone, and using a pager as a communication device. This multidisciplinary Mock Page Activity improved communication and confidence during paging activities for a large group of medical students pursuing different specialties. Strengths of the study include being the largest, specialty non-specific mock page activity reported in the literature. Limitations include varied individual experience of students and questionable benefits for students pursuing non-patient care careers in medicine. Future directions include iterative improvement based on feedback and incorporation of an interprofessional debrief session to ensure equal benefit to the participating SON students.

A GUI Based Application for PDF Processing Tools Using Python &amp; CustomTkinter

Abstract: This paper presents a Graphical User Interface (GUI) application for PDF processing tools and file conversion tools. The application provides a user-friendly interface for users to perform various operations on PDF documents, such as splitting, merging, extracting, rotating, and deleting pages. Depending on the user's needs, the user can perform these operations on every page, even pages, odd pages, random specific pages, all pages after some nth page, and between some specific ranges. The application is designed to be user-friendly and simple to use, allowing users to complete tasks quickly and easily. Nowadays, most universities and schools provide their students with all of their course materials online, therefore many students access these resources via PDF files. Since this application operates without an internet connection and is therefore advantageous to all users, Using the PyPDF2 library for PDFs, the Python graphics package Tkinter is used to develop the graphical user interface and UI library CustomTkinter which provides fresh, modern, and completely customizable widgets. Many students upload their files to the internet in order to use these tools, but our offline GUI application provides all of these tools for free. It also includes PDF encryption, decryption, and file conversion tools. These tools are simple to use and can help users save time and effort.