Online Profiles Research Articles

Measuring the Structural Capacity of Philippine Hospitals to Provide High-Quality Health Care

This paper measures Philippine hospitals’ management practices and service capability based on their structural inputs. The authors collected a wide range of data on hospital management and service delivery of selected public and private health facilities using a validated online profiling questionnaire. They identified the challenges and limitations that hospitals commonly encounter, particularly in governance and administration and service capacity. The authors recommend systematically collecting healthcare quality indicators and providing incentives and grants to enable the collection, measurement, and submission of data from health facilities.

0934 An Analysis of 5,212 Sleep Medicine Providers’ Online Patient Reviews

Abstract Introduction Online provider rating websites are an increasingly popular medium for patients to provide reviews & feedback and obtain information about varying healthcare providers. There have yet to be studies on what factors significantly impact sleep medicine provider ratings. Healthgrades is a popular healthcare provider rating database with over 11 million patient reviews. This study analyzes various dimensions to determine what factors correlate with average sleep medicine provider ratings to improve patient satisfaction. Methods Data were collected on 5,212 sleep medicine providers’ online profiles using web data extraction software. Factors such as medical degree, gender, age, and ethnicity were compared to online ratings using Pearson correlation and ANOVA analysis via statistics software. Results Variables with positive correlation in provider rating include the presence of a headshot (pc=0.106, p< 0.01), designation of trustworthiness (pc=0.152, p< 0.01), and presence of care philosophy statement (pc=0.105, p< 0.01). The only variable with a negative correlation in provider rating was increasing age (p=-0.109, p< 0.01). A one-way ANOVA revealed that there was a statistically significant difference in mean rating between different healthcare degrees (F(122.271, 5062.570)=[17.955], p=<.001). Tukey’s HSD Test for multiple comparisons found that the mean value of ratings was significantly different between allopathic physicians and sleep medicine dentists (p=0.000, 95% C.I.=[-0.943,0.070]), physician assistants (p=0.000, 95% C.I.=[-1.268,-0.239]), and nurse practitioners (p=0.000, 95% C.I.=[-0.941,-0.188]). There was no statistically significant difference in mean online rating between allopathic physicians and osteopathic physicians (p=0.505), sleep psychologists (p=0.344), or foreign medical graduates (p=0.998), respectively. Conclusion This study suggests patients perceive sleep medicine providers’ online profiles with headshots, care philosophy statements, and designation of trustworthiness as contributing factors when rating. Additionally, degree type and age matter when rating online. Patients do not value factors such as ethnicity or gender strongly when rating their sleep medicine provider. Further study is needed to determine factors influencing non-physician providers’ higher ratings when compared to U.S. medical graduates. This study demonstrates the importance of building an online presence for sleep medicine practices and identifying characteristics patients value. The expectation is that this information can be used to improve the quality of care delivered in the field of sleep medicine. Support (if any)

Composition and Gender Distribution of Editorial Boards for Top Neurosurgical Journals

Though women now comprise approximately 21.5% of all neurosurgery residents in the United States, women only represent 10% of practicing neurosurgeons nationally. Serving as a journal editor is 1 measure of academic success. We investigated characteristics of editorial boards for top neurosurgical journals to identify factors influencing membership on editorial boards. We sought to identify gender differences to explain the paucity of women on editorial boards. This is a cross-sectional study of editorial boards for the top 10 English-language neurosurgical journals. Data were obtained from journal websites, program faculty lists, or physician online profiles. Gender differences were compared using Student t test and χ2 analysis. Seven hundred twenty-two editorial board members were examined (female n= 65; male n= 650; unidentified n= 7). Overall, women had fewer years in practice (P= 0.002) and more often had additional advanced degrees (P= 0.009) while men had higher h-indices (P < 0.0001). Within the boards of Neurosurgery and Acta Neurochirurgica, men had been in practice longer (P= 0.014; P= 0.023) and had higher h-indices (P= 0.003; P= 0.025). Male editors for Journal of Neurosurgery: Spine and World Neurosurgery had higher h-indices (P= 0.007; P= 0.018). Women constitute ∼9% of editorial boards for top neurosurgical journals, a percentage comparable to the amount of practicing female academic neurosurgeons. This finding is encouraging as in that there appears to be no readily identifiable bias in the selection of editorial board members. The differences in years in practice and h-index suggest that gender distribution may equalize with time as more women enter practice and produce scientific literature. Efforts to recruit and retain women in neurosurgery should be pursued to rectify this discrepancy.

Letter to the Editor Regarding “Case Series and Systematic Review of Electronic Scooter Crashes and Severe Traumatic Brain Injury”

Though women now comprise approximately 21.5% of all neurosurgery residents in the United States, women only represent 10% of practicing neurosurgeons nationally. Serving as a journal editor is 1 measure of academic success. We investigated characteristics of editorial boards for top neurosurgical journals to identify factors influencing membership on editorial boards. We sought to identify gender differences to explain the paucity of women on editorial boards.This is a cross-sectional study of editorial boards for the top 10 English-language neurosurgical journals. Data were obtained from journal websites, program faculty lists, or physician online profiles. Gender differences were compared using Student t test and χ2 analysis.Seven hundred twenty-two editorial board members were examined (female n = 65; male n = 650; unidentified n = 7). Overall, women had fewer years in practice (P = 0.002) and more often had additional advanced degrees (P = 0.009) while men had higher h-indices (P < 0.0001). Within the boards of Neurosurgery and Acta Neurochirurgica, men had been in practice longer (P = 0.014; P = 0.023) and had higher h-indices (P = 0.003; P = 0.025). Male editors for Journal of Neurosurgery: Spine and World Neurosurgery had higher h-indices (P = 0.007; P = 0.018).Women constitute ∼9% of editorial boards for top neurosurgical journals, a percentage comparable to the amount of practicing female academic neurosurgeons. This finding is encouraging as in that there appears to be no readily identifiable bias in the selection of editorial board members. The differences in years in practice and h-index suggest that gender distribution may equalize with time as more women enter practice and produce scientific literature. Efforts to recruit and retain women in neurosurgery should be pursued to rectify this discrepancy.

Defining Biometrics With Privacy and Benefits: A Research Agenda

This conceptual paper defines and gives examples of biometrics, explains how biometric tracking is currently used (e.g. to predict IQ), and presents innovative future uses of biometric tracking (e.g. to customize the price of products in real time). Specifically, this paper outlines a novel biometric pricing technology (BPT) which uses facial tracking to set the price of products using a new participatory dynamic pricing (vs. static pricing) system. Based on the privacy paradox, this paper addresses the acceptance, concerns and usage of a new emerging technology by consumers and its potential applications. To explore this, we develop a typology of perceived benefits and perceived privacy to predict consumer reactions to biometric technology. In addition, we present a research agenda to guide future research on biometric pricing technology. This research agenda offers new insights on how biometric tracking and specifically biometric price setting could be explored from multiple angles, including the consumer experience, technology acceptance, online profiling, governance, public policy, regulation, ethical and future usage-based perspectives.

Against the glare. On Yulia Krylova’s Against the White Background [Na fone belogo

A review of the first book by the Moscow-based poet Yulia Krylova, Against the White Background [Na fone belogo] (2022). The critic considers the book’s principal motifs in the context of Biblical metaphors and decodes hidden meanings of Krylova’s ‘messages.’ Along with Brodsky, Mandelstam and other celebrities traditionally referenced by modern poets, they are addressed to Krylova’s contemporary fellow poets. Also discussed is the mixed critical reception of Krylova’s lyrical collection: while some reviewers emphasise its metaphysical quality, others notice Krylova’s extensive use of such hallmarks of modern lifestyle as a 3G network and friends’ and lovers’ online profiles, etc. Batalov argues, however, that Krylova’s unique style results from an unconventional approach to combining modern realia with metaphysical phenomena: not only does it pair the minutiae of quotidian existence with metaphysical and Biblical elements; it shows them to complement each other like two different languages used to describe the same phenomenon.

Hands-On(ly) Vlogging: How Turkish Muslim Women Perform “Modesty” and “Piety” in Self-Branding on Their YouTube Cooking Channels

Studies examining the self-branding efforts of women producers of online content have proliferated in recent years. Typically focused on the production of content by young, white, and highly educated middle-class women in the West, such scholarship has predominantly conceptualized women’s online self-branding as a function of neo-liberal and postfeminist values centered around notions of “commodified femininity” and “mediated intimacy” along with consumerism and individualism. In contrast, this article examines the sociocultural values underlying the self-branding practices of Turkish Muslim “housewives” from relatively underprivileged backgrounds who have recorded, performed, and monetized their cooking skills and arguably their values on YouTube. Drawing on in-depth interviews with 12 leading Turkish women vloggers, combined with digital ethnographic research into their online profiles and content, my analysis reveals the importance for these vloggers of ensuring their online performances and personae comply with and embody the Islamic values of feminine piety and modesty. By highlighting the importance of social positionality in research on gendered self-branding, my findings problematize dominant conceptualizations of women’s online self-branding as a postfeminist undertaking. In reality, Islamic values are active online, embodied by Turkish Muslim women cooking on YouTube in a way that is empowering for them but also under negotiation through the participatory culture of the Internet.

A conceptual framework for motivation factors influencing researchers' use of academic web profiles

PurposeThis article provides insight into researchers' use of academic web profiles and an understanding of how the influencing factors highlighted in the literature interact with each other, affecting researchers' motivation to use web profiles.Design/methodology/approachBased on motivation theory and literature related to the use of online profile platforms and academic web profiles, the authors present a conceptual framework for motivation factors influencing researchers' use of academic web profiles. The authors use qualitative interviews with researchers to explore and enrich the conceptual framework.FindingsThe conceptual framework of researchers' motivation space shows the relationships and influences between internal and external motivation in connection to three main categories (Identity and professional goals, Organisation and guidelines, Platforms and technology) and 12 more specific aspects of motivation that all play a role in choices regarding academic online profiles and platforms. Personality also plays an important role in itself – and not always in support of professional goals or workplace guidelines.Originality/valueThe study shows that a holistic perspective is necessary to understand the high degree of complexity in terms of researchers' motivation to use academic online profiles, and the presented conceptual framework can be used to understand and activate motivation factors.

I Know Your Social Network Accounts: A Novel Attack Architecture for Device-Identity Association

Online social networks revolutionize the way people interact with each other. When various social network information aggregates over time, a rich online profile of the user is formed. Owing to the various features provided by mobile devices, a user's online social activities are tightly tied to his phone, and are conveniently, sometimes unnecessarily, available to social networks. In this article, we propose a novel attack architecture to show that attackers can infer a user's social network identities behind a mobile device through new dimensions. Specifically, we first developed a correlation between a user's device system states and the social network events, which leverage multiple mechanisms such as the learning-based memory regression model, to infer the possible accounts of the user in the social network app. Then we exploited the social network to social network correlation, via which we correlated information across different social networks, to identify the accounts of the target user. We implemented and evaluated these attacks on three popular social networks, and the results corroborate the effectiveness of our design.

Fake Accounts Identification in Mobile Communication Networks Based on Machine Learning

Fake accounts on online social networks are increasing today with an increase in the number of active social network users. Social media websites allow users to share thoughts, facts, views and re-sharing these into various networks. Social media platforms provide users with enormous valuable information but with this great amount of information in social media, many issues like fake profile, online hacking have also grown. The fake profiles in online social sites create fake news and share unwanted material which contains spam links that affect natural users. The massive issue in social media communication networks is spam and it is necessary to identify fake profiles to stop spam. In this paper, a supervised machine learning algorithm called support vector machine (SVM) is used to identify fake accounts on social media effectively. In order to automatically identify fake online profiles, Random Forest classifier is used with SVM. With this concept, it can be applied online easily to identify millions of accounts that cannot be examined manually. The result of this model is compared with other identification techniques and the results show that the proposed algorithm performs better with high precision and recall. This method efficiently safeguards social media networks from online threats and attacks.

Improving the University Digital Infrastructure Management System: Practice of Social Network Analysis

This article presents the results of applied research aimed at developing topical approaches to solving the problem of dysfunctionality of universities’ digital infrastructures in social media. In the context of the large-scale digitalization and networking processes of modern society, higher education institutions are faced with new challenges that threaten their further sustainability and reduce their competitiveness. As a possible solution to this problem, the authors propose a comprehensive study of university network structures in social media and further implementation of actual practices of online profile management and digital communities. By applying the method of social graphs and automated tools for processing open digital data, a universal algorithm for building and interpreting the resulting visual models is defined. The article substantiates the basic problems faced by modern universities in developing their own digital structures, as well as the ways to solve them, aimed at improving digital infrastructure management, establishing effective communication with target groups, consolidating the organizational structure, developing educational and scientific communities, and promoting the university brand. The proposed interactive digital maps have a high practical potential for direct implementation in the management process of the Russian universities.

Perceived customer care and privacy protection behavior: The mediating role of trust in self-disclosure

The COVID-19 pandemic has been a chance and a boost for those retailers that develop their online profile. This new context can raise privacy issues on the consumer side. For this reason, here we explore the determinants of online self-disclosure, and its relationship with customer care. We collected the data through an online survey (n = 426) and tested a variance-based structural equations model. The findings unriddle the role of perceived customer care as an antecedent of both perceived control and trust, the latter emerging as a key mediator of the impact of both perceived customer care and privacy concern on self-disclosure. Moreover, in line with previous studies, perceived control was found to be positively related with trust, and negatively with privacy concerns. According to the findings, we draw several managerial implications and suggest future research paths.

Digital Identity and Promotion of Research Works – Analytical Study of Social Science Researchers at Taiwanese Institutions

This study aims to show the significance of a robust digital identity for researchers and examines the role that online platforms play in enhancing their research outputs. The study explores the digital identity of social science researchers at Taiwanese universities and evaluates the effect it has on promoting their research. To achieve that goal, we analyzed the researchers’ profiles on four platforms: Google Scholar, Research Gate, ORCID, and Twitter. The methodology used is a mixed-methods approach that combines qualitative and quantitative data collection and analysis techniques depending on measures or identity types: introduction, activity, and statistic. The findings indicate that having a strong digital identity, demonstrated by a high number of well-maintained online profiles, significantly enhances the promotion of the researchers' outputs and that the existence of the three types of digital identity on the platforms vary depending on the features of each platform.

IMPLEMENTING AN ACADEMIC RESEARCH SOCIAL NETWORK IN THE ARAB WORLD: THE CASE OF “BAHETH” PLATFORM

Web 2.0 and 3.0 introduced online social networks to the world, which offered a new and versatile medium of communication and collaboration for different communities over the Internet. The use of specific social networks that targets a certain audience is becoming more accepted today since interactivity and collaboration between members is secured and limited to specific groups. Academic research is a field that can benefit from online social networks. The Arab Conference Network is the first research-based institution in the Middle East to adopt this new technology by creating an online Academic Research Social Network named “Arab Researcher Portal–Baheth”. The network is open to all Arabic-speaking researchers and professors to collaborate on different academic and research fields. The authors investigated the viability of “Baheth” for Arab professors and researchers to collaborate on different academic and research fields An exploratory study of implementing “Baheth” is presented and discussed. The findings showed that only 19% of university professors and researchers who joined the network have completed their online profiles and participated actively in the network. As a result, the level of awareness of the true value of the online academic research social network was very low. Academic rank, specialization, computer, and Internet literacy in addition to online social skills, played a role in adopting this new channel. In conclusion, the research presents steps that can be taken to improve the use of this unique social media channel, and guidelines for motivating professors are suggested on the basis of the research findings. Keywords: Social Networking, Web 2.0, Academic Research DOI： https://doi.org/10.35741/issn.0258-2724.58.2.18

Neo-Gnosticism and the American Dissident Right

Neo-Gnosticism and the American Dissident Right

Creating automatic passwords and patterns based on image processing from back hand wrinkles

Passwords, Patterns and Finger prints are a ubiquitous part of the present age. They are the keys to unlock our online profiles, bank accounts, mobile phones, iPad, opening money Box (safe) which is hosted across a plethora of websites and other electronic devices. With each of our profiles necessitating a separate password, it is not uncommon for people to need up to 50 passwords. Recent events have now seen hundreds to millions of passwords leaked in online, more than one hundred million LinkedIn logins and tens of millions of Twitter logins were made available on the darknet. This paper aims at proposing a novel objective approach which utilizes wrinkles on the back four fingers of the human to create patterns or passwords automatically using randomization by extracting the four fingers back wrinkles using sensors then merging all four fingers’ wrinkles together and make the system to create pattern or password without known by the user or any human beings. Each and every time the same wrinkles group is detected it creates and changes new passwords. This cannot be known to anyone. This can be done through image enhancement and morphologic methods through wrinkle retrieval. We identify the pixels of the image of wrinkles and label them as letters for each and every pixel of a particular finger wrinkles and give decimal values from the ASCII table. We merge all four finger tables and start creating randomized patterns using Boolean Expression. The methodology is explained below.

Do salespeople’s online profile pictures predict the number of online reviews? Effect of a babyface

PurposeThis study aims to investigate the impact of a salesperson’s babyface in his/her profile picture on the number of online reviews the salesperson receives. In addition to testing the direct relationship, this study explores the moderating roles of salesperson gender and consumer involvement.Design/methodology/approachResponding to the call for field-based consumer research, the authors test their theory using an experimental design and a field study. Study 1 employs an experimental design in high and low involvement service settings to test the effect of a babyface on consumers’ intention to write online reviews. Study 2 uses field data, utilising real estate salespeople’s online profile pictures to test the effect of salespeople’s babyface on the number of online reviews they receive. It does so by using an artificial intelligence facial recognition application interface.FindingsA salesperson’s babyface results in fewer online reviews in situations in which consumers are highly involved in the purchase process. By contrast, a salesperson’s babyface engenders more online reviews when consumers purchase low involvement services. The adverse effect of a babyface on the number of online reviews, however, attenuates when a salesperson is female.Research limitations/implicationsLimited information about salespeople, a skewed number of online reviews and blurry online profile pictures from a real-world data set constitute the study’s limitations.Practical implicationsWhen consumers are highly involved in the purchase process, salespeople should appear mature in their online profile photos to engender more online reviews. However, salespeople providing low involvement services should opt for online profile pictures reflecting babyish facial features to generate more online reviews.Originality/valueResearch has shown that salespeople’s physical appearance plays an important role in consumers’ perceptions of salespeople and their performance. Although abundant research and practice have shown the importance of online reviews, less is known about how online profile pictures affect online reviews. Thus, building on well-studied cases of an overgeneralization effect, this work examines the extent to which salespeople’s babyface features in their online profile picture affects the number of online reviews received in a real-world setting.

Reliable Wide-Area Data Transfers for Streaming Workflows

Many large science projects rely on remote clusters for (near) real-time data processing, thus they demand reliable wide-area data transfer performance for smooth end-to-end workflow executions. However, data transfers are often exposed to performance variations due to the changing network (e.g., background traffic) and dataset (e.g., average file size) conditions, necessitating adaptive solutions to meet stringent performance requirements of delay-sensitive streaming workflows. In this article, we propose <i>FStream++</i> to provide reliable transfer performance for large streaming science applications by dynamically adjusting transfer settings to adapt to changing transfer conditions. <i>FStream++</i> combines three optimization methods as <i>dynamic tuning</i> , <i>online profiling</i> , and <i>historical analysis</i> to swiftly and accurately discover optimal transfer settings that can meet workflow requirements. Dynamic tuning uses a heuristic model to predict the values of transfer parameters based on dataset characteristics and network settings. Since heuristic models fall short to incorporate many important factors such as I/O throughput and resource interference, we complement it with online profiling to execute a real-time search for a subset of transfer settings. Finally, historical analysis takes advantage of the long-running nature of streaming workflows by storing and analyzing previous performance observations to shorten the execution time of online profiling. We evaluate the performance of <i>FStream++</i> by transferring several synthetic and real-world workloads in high-performance production networks and show that it offers up to <inline-formula><tex-math notation="LaTeX">$3.6x$</tex-math></inline-formula> performance improvement over legacy transfer applications and up to 24% over our previous work <i>FStream</i> .

The beauty premium of tour guides in the customer decision-making process: An AI-based big data analysis

This study investigates how the facial cues of tour guides in their profile pictures, and especially aesthetically pleasing facial features, play a role in the different stages of a tourist's decision-making process. Facilitated by an artificial intelligence (AI) facial recognition system, a comprehensive model is developed which incorporates the facial and service cues of 3786 tour guides. The results show that beauty scores and smiles have a positive effect on purchase decisions, while post-service ratings are only subject to service cues. The contingency effects of the beauty premium are also examined. The results indicate greater beauty premium effects for females, and for tour guides who are responsible for chauffeured, package or walking tours. This research is a pioneering study in AI-based facial analyses in the context of tourism, and offers insights into the impression management of online profiles in the customer decision-making stages.

Feasibility of Intentional Technology Pairing in Fostering Connections Among Dementia Caregivers.

To gather user input iteratively to develop a matching algorithm for peer-to-peer support and to assess the feasibility and usability of a web-based program to conduct matching. 32 caregivers of persons with dementia (PwD) participated in semi-structured focus groups and completed surveys to provide input regarding characteristics deemed valuable in someone they would choose to be connected with for emotional support. Through an iterative process as new information emerged, a web-based prototype and matching algorithm were developed. Caregivers interacted with the prototype and provided feedback indicating ease of accessibility and use, initial impression, and comfort/satisfaction with profile content. All 32 caregivers (age 40-90, education 12/GED-20, sex 88% female, 31% Black/African-American) completed online profiles. Of those who interacted with the prototype, 23 completed the feedback survey, on which 87% had no or only mild difficulty accessing the site, 91% had no difficulty with technology once there, 86% had a very or quite positive initial impression, 91% found it very or quite easy to navigate, 87% rated a very or quite high level of comfort with completing the personal profile questions, and 82% felt very or quite confident the questions asked would lead to a good match. A large majority of caregivers of PwD demonstrated the web-based platform was easy to access and navigate, provided a positive experience, and gathered information that would lead to a good supportive relationship with another caregiver. Phase II will optimize the design and algorithm and evaluate the matching process in 350 caregivers.