The Representation of Skin Tones in Google Images of Skin Cancers.

Skin self-examinations play a vital role in skin cancer detection and are often aided by online resources. Available reference photos must display the full spectrum of skin tones so patients may visualize how skin lesions can appear. This study investigated the portrayal of skin tones in skin cancer-related Google Images, discovering a significant underrepresentation of darker skin tones. J Drugs Dermatol. 2024;23(5):e132-e133.     doi:10.36849/JDD.7886e.

Skin Tone Representation on Patient-Facing Skin Cancer Education Websites.

When patients self-detect suspicious skin lesions, they often reference online photos prior to seeking medical evaluation. Online images must be available in the full spectrum of skin tones to provide accurate visualizations of disease, especially given the increased morbidity and mortality from skin cancer in patients with darker skin tones. The purpose of this study was to evaluate the representation of skin tones in photos of skin cancer on patient-facing websites. Six federally-based and organization websites were evaluated, and of the 372 total representations identified only 49 depicted darker skin tones (13.2%). This highlights the need to improve skin tone representation on patient-facing online resources. J Drugs Dermatol. 2024;23(5):e137-e138.     doi:10.36849/JDD.7905e.

Predicting osteoporotic fractures post-vertebroplasty: a machine learning approach with a web-based calculator.

PURPOSE: The aim of this study was to develop and validate a machine learning (ML) model for predicting the risk of new osteoporotic vertebral compression fracture (OVCF) in patients who underwent percutaneous vertebroplasty (PVP) and to create a user-friendly web-based calculator for clinical use. METHODS: A retrospective analysis of patients undergoing percutaneous vertebroplasty: A retrospective analysis of patients treated with PVP between June 2016 and June 2018 at Liuzhou People's Hospital was performed. The independent variables of the model were screened using Boruta and modelled using 9 algorithms. Model performance was assessed using the area under the receiver operating characteristic curve (ROC_AUC), and clinical utility was assessed by clinical decision curve analysis (DCA). The best models were analysed for interpretability using SHapley Additive exPlanations (SHAP) and the models were deployed visually using a web calculator. RESULTS: Training and test groups were split using time. The SVM model performed best in both the training group tenfold cross-validation (CV) and validation group AUC, with an AUC of 0.77. DCA showed that the model was beneficial to patients in both the training and test sets. A network calculator developed based on the SHAP-based SVM model can be used for clinical risk assessment ( https://nicolazhang.shinyapps.io/refracture_shap/ ). CONCLUSIONS: The SVM-based ML model was effective in predicting the risk of new-onset OVCF after PVP, and the network calculator provides a practical tool for clinical decision-making. This study contributes to personalised care in spinal surgery.

Reports on sexual violence published in an online Chinese newspaper: A new frame research.

The leading role of the media is very important in the new media era to build the reporting system and framework of sexual violence crimes, guide people's awareness and public opinion, and improve society's vigilance on sexual crimes. This study took People's Daily Online, a representative online media in China, as a research object to analyse the reporting of sexual crimes over the past 15 years. We conducted relevant searches for specific keywords set in the Python crawler and used IBM SPSS Statistics 19 software to analyse the frequency of relevant content. The results of the research show that, firstly, there have been significant changes in the number of news stories about sexual crimes. Second, the majority of sexual crime news stories are from mainland China. Third, the focus of the news stories and people is relatively concentrated on the perpetrators. Fourth, the People's Daily Online's coverage of sexual crimes focuses on blaming the perpetrators. Fifth, sexual crimes show that the framework is more episodic. This paper examines changes in the coverage of sexual crimes in China and captures how the media cover socially relevant issues, providing important insights for future social health, psychological awareness and diversion, and media policy.

TIR predictor and optimizer: Web-tools for accurate prediction of translation initiation rate and precision gene design in Saccharomyces cerevisiae.

Translation initiation is the primary determinant of the rate of protein production. The variation in the rate with which this step occurs can cause up to three orders of magnitude differences in cellular protein levels. Several mRNA features, including mRNA stability in proximity to the start codon, coding sequence length, and presence of specific motifs in the mRNA molecule, have been shown to influence the translation initiation rate. These molecular factors acting at different strengths allow precise control of in vivo translation initiation rate and thus the rate of protein synthesis. However, despite the paramount importance of translation initiation rate in protein synthesis, accurate prediction of the absolute values of initiation rate remains a challenge. In fact, as of now, there is no available model for predicting the initiation rate in Saccharomyces cerevisiae. To address this, we train a machine learning model for predicting the in vivo initiation rate in S. cerevisiae transcripts. The model is trained using a diverse set of mRNA transcripts, enabling the comparison of initiation rates across different transcripts. Our model exhibited excellent accuracy in predicting the translation initiation rate and demonstrated its effectiveness with both endogenous and exogenous transcripts. Then, by combining the machine learning model with the Monte-Carlo search algorithm, we have also devised a method to optimize the nucleotide sequence of any gene to achieve a specific target initiation rate. The machine learning model we've developed for predicting translation initiation rates, along with the gene optimization method, are deployed as a web server. Both web servers are accessible for free at the following link: ajeetsharmalab.com/TIRPredictor. Thus, this research advances our fundamental understanding of translation initiation processes, with direct applications in biotechnology.

Pharmaceutical treatment status of patients with COPD in the community based on medical Internet of Things: a real-world study.

This study aimed to investigate the real-world standardisation and adherence of medical treatment regimens in patients with chronic obstructive pulmonary disease (COPD) in the community for making future management strategy. The follow-up data and treatment information of patients with COPD, which were collected through the Management Information Center of COPD (MICCOPD) in 21 community health service centres in Songjiang District, a countryside region of Shanghai. Concordance between the pharmaceutical treatment plan and recommendation of 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) report during the follow-up management period, as well as the medication adherence by patients,were analysed. Out of the 2044 patients diagnosed with COPD, 814 patients (39.8%) who had an initial record of medication use were found to meet the inclusion criteria. The most common medication regimens were long-acting beta-agonist plus inhaled corticosteroids (35.9%) and oral bronchodilators (41.9%). Among these 814 patients, 45.7%, 38.0%, 31.6% and 14.6% adhered to the treatment after 6, 12, 18 and 24 months of follow-up, respectively. The concordance rate with the regimens recommended by the 2017 GOLD guidelines was 35.5% at baseline, 35.5% at 6 months, 32.7% at 12 months, 35.4% at 18 months and 37% at 24 months. The compliance and guideline consistency rates of patients with COPD in the community under the management of general practitioners need to be improved. Enhancing general practitioner proficiency in the prevention and management of COPD and increasing patient awareness of the condition, are crucial standardising and improving adherence to initial and follow-up COPD treatments.

Digital media use, depressive symptoms and support for violent radicalization among young Canadians: a latent profile analysis.

BACKGROUND: Despite the prominent role that digital media play in the lives and mental health of young people as well as in violent radicalization (VR) processes, empirical research aimed to investigate the association between Internet use, depressive symptoms and support for VR among young people is scant. We adopt a person-centered approach to investigate patterns of digital media use and their association with depressive symptoms and support for VR. METHODS: A sample of 2,324 Canadian young people (Mage = 30.10; SDage = 5.44 ; 59% women) responded to an online questionnaire. We used latent profile analysis to identify patterns of digital media use and linear regression to estimate the associations between class membership, depressive symptoms and support for VR. RESULTS: We identified four classes of individuals with regards to digital media use, named Average Internet Use/Institutional trust, Average internet use/Undifferentiated Trust, Limited Internet Use/Low Trust and Online Relational and Political Engagement/Social Media Trust. Linear regression indicated that individuals in the Online Relational and Political Engagement/Social Media Trust and Average Internet Use/Institutional trust profiles reported the highest and lowest scores of both depression and support for VR, respectively. CONCLUSIONS: It is essential to tailor prevention and intervention efforts to mitigate risks of VR to the specific needs and experiences of different groups in society, within a socio-ecological perspective. Prevention should consider both strengths and risks of digital media use and simulteaneously target both online and offline experiences and networks, with a focus on the sociopolitical and relational/emotional components of Internet use.

[On-line pornography and minors. Diagnosis, challenges and proposals]. / Pornografía on-line y menores. Diagnóstico, desafíos y propuestas.

The consumption of pornography over the Internet by minors has been increasing exponentially in recent years. The use of digital technologies and the ease of access to these contents are causes that explain this event. Simultaneously, there is concern about the increase in sexual violence, associated with discriminatory behavior, despite the efforts of laws and programs that promote sexual reproductive health (SRH) and the principle of equality. From a bioethical point of view, it is urgent to address this issue, which affects the physical and psychological health of minors and their affective-sexual education. The study addresses whether it is possible to relate the consumption of online pornography by minors and sexual violence. To do this, legal sources, reports from associations, audiovisual councils and scientific studies are consulted. In all of them, the relationship between the consumption of online pornography by adolescents and risky behavior in emotional-sexual matters and gender inequality is evident. In the legal and fiscal sphere, it is alerted to the damage that is occurring and points out the need to propose lines of action that reverse this situation. We propose measures to technically regulate access to content. These measures are based on the precautionary principle, a tool that has been applied in fields such as health and the environment. More studies and political actions are needed to make the Internet a safe place for minors.

Internet-Delivered Exposure and Response Prevention for Pediatric Tourette Syndrome: 12-Month Follow-Up of a Randomized Clinical Trial.

Importance: Behavior therapy is a recommended intervention for Tourette syndrome (TS) and chronic tic disorder (CTD), but availability is limited and long-term effects are uncertain. Objective: To investigate the long-term efficacy and cost-effectiveness of therapist-supported, internet-delivered exposure and response prevention (ERP) vs psychoeducation for youths with TS or CTD. Design, Setting, And Participants: This 12-month controlled follow-up of a parallel group, superiority randomized clinical trial was conducted at a research clinic in Stockholm, Sweden, with nationwide recruitment. In total, 221 participants aged 9 to 17 years with TS or CTD were enrolled between April 26, 2019, and April 9, 2021, of whom 208 (94%) provided 12-month follow-up data. Final follow-up data were collected on June 29, 2022. Outcome assessors were masked to treatment allocation throughout the study. Interventions: A total of 111 participants were originally randomly allocated to 10 weeks of therapist-supported, internet-delivered ERP and 110 participants to therapist-supported, internet-delivered psychoeducation. Main Outcomes And Measures: The primary outcome was within-group change in tic severity, measured by the Total Tic Severity Score of the Yale Global Tic Severity Scale (YGTSS-TTSS), from the 3-month follow-up to the 12-month follow-up. Treatment response was defined as 1 (very much improved) or 2 (much improved) on the Clinical Global Impression-Improvement scale. Analyses were intention-to-treat and followed the plan prespecified in the published study protocol. A health economic evaluation was performed from 3 perspectives: health care organization (including direct costs for treatment provided in the study), health care sector (additionally including health care resource use outside of the study), and societal (additionally including costs beyond health care [eg, parent's absenteeism from work]). Results: In total, 221 participants were recruited (mean [SD] age, 12.1 [2.3] years; 152 [69%] male). According to the YGTSS-TTSS, there were no statistically significant changes in tic severity from the 3-month to the 12-month follow-up in either group (ERP coefficient, -0.52 [95% CI, -1.26 to 0.21]; P = .16; psychoeducation coefficient, 0.00 [95% CI, -0.78 to 0.78]; P > .99). A secondary analysis including all assessment points (baseline to 12-month follow-up) showed no statistically significant between-group difference in tic severity from baseline to the 12-month follow-up (coefficient, -0.38 [95% CI, -1.11 to 0.35]; P = .30). Treatment response rates were similar in both groups (55% in ERP and 50% in psychoeducation; odds ratio, 1.25 [95% CI, 0.73-2.16]; P = .42) at the 12-month follow-up. The health economic evaluation showed that, from a health care sector perspective, ERP produced more quality-adjusted life years (0.01 [95% CI, -0.01 to 0.03]) and lower costs (adjusted mean difference -$84.48 [95% CI, -$440.20 to $977.60]) than psychoeducation at the 12-month follow-up. From the health care organization and societal perspectives, ERP produced more quality-adjusted life years at higher costs, with 65% to 78% probability of ERP being cost-effective compared with psychoeducation when using a willingness-to-pay threshold of US $79 000. Conclusions And Relevance: There were no statistically significant changes in tic severity from the 3-month through to the 12-month follow-up in either group. The ERP intervention was not superior to psychoeducation at any time point. While ERP was not superior to psychoeducation alone in reducing tic severity at the end of the follow-up period, ERP is recommended for clinical implementation due to its likely cost-effectiveness and support from previous literature. Trial Registration: ClinicalTrials.gov Identifier: NCT03916055.

Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis.

Background: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied posts made to an online suicide discussion forum, "Sanctioned Suicide," which is a primary source of information on the use and procurement of SN. Objective: This study aims to determine the trends in SN purchase and use, as obtained via data mining from subscriber posts on the forum. We also aim to determine the substances and topics commonly co-occurring with SN, as well as the geographical distribution of users and sources of SN. Methods: We collected all publicly available from the site's inception in March 2018 to October 2022. Using data-driven methods, including natural language processing and machine learning, we analyzed the trends in SN mentions over time, including the locations of SN consumers and the sources from which SN is procured. We developed a transformer-based source and location classifier to determine the geographical distribution of the sources of SN. Results: Posts pertaining to SN show a rise in popularity, and there were statistically significant correlations between real-life use of SN and suicidal intent when compared to data from the Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (⍴=0.727; P<.001) and the National Poison Data System (⍴=0.866; P=.001). We observed frequent co-mentions of antiemetics, benzodiazepines, and acid regulators with SN. Our proposed machine learning-based source and location classifier can detect potential sources of SN with an accuracy of 72.92% and showed consumption in the United States and elsewhere. Conclusions: Vital information about SN and other emerging mechanisms of suicide can be obtained from online forums.

Internet use and its association with physical activity among adolescents in Beni Municipality, Myagdi, Nepal.

INTRODUCTION: Adolescence is a critical phase marked by distinct health and developmental needs and rights. It represents a pivotal time for the acquisition of knowledge, skills, emotional regulations, and relationship management. However, a recent surge in internet usage among adolescents has been observed, leading to a concerning decline in physical activity. This study aims to evaluate the level of physical activity and its correlation with internet use among adolescents. MATERIALS AND METHODS: A cross-sectional study, conducted within educational institutions in Beni, Nepal, utilized a self-structured questionnaire to collect data on physical activity levels and associated factors. The relationship between physical activity and independent variables was assessed through the chi-square test, and regression analysis was employed to quantify the strength of this association. RESULTS: The study revealed that 75.3% of adolescents (out of 385) exhibited inadequate physical activity levels. Notably, late adolescents were more susceptible to insufficient physical activity than their middle adolescent counterparts were. Adolescents from nuclear families (UOR = 2.689, C.I = 4.074-22.822), those with higher monthly family income (UOR = 3.318, C.I = 1.209-9.105), and individuals using Wi-Fi (UOR = 1.801, C.I = 1.117-2.904) demonstrated a higher likelihood of internet addiction. Moreover, these groups were more prone to engage in inadequate physical activity (UOR = 1.1740, C.I = 0.938-3.226) compared to their counterparts not addicted to the internet. CONCLUSION: The study concludes that over two-thirds of adolescents were addicted to the Internet, and three-fourths were inadequately physically active, with late adolescents being more affected than middle adolescents. Inadequate physical activity was associated with various factors, including family type, monthly family income, monthly pocket money, father's occupation, type of school, type of internet access, and Internet Addiction Test (IAT) score. Internet-addicted adolescents were found to be more likely to be physically inactive.

The consequences of generative AI for online knowledge communities.

Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and content production across a variety of domains. These technologies have a significant potential to impact participation and content production in online knowledge communities. We provide initial evidence of this, analyzing data from Stack Overflow and Reddit developer communities between October 2021 and March 2023, documenting ChatGPT's influence on user activity in the former. We observe significant declines in both website visits and question volumes at Stack Overflow, particularly around topics where ChatGPT excels. By contrast, activity in Reddit communities shows no evidence of decline, suggesting the importance of social fabric as a buffer against the community-degrading effects of LLMs. Finally, the decline in participation on Stack Overflow is found to be concentrated among newer users, indicating that more junior, less socially embedded users are particularly likely to exit.

The influence of the internet on choices about older adults' health and well-being.

OBJECTIVES: to describe the profile of older adults who access the internet to search for health information and identify the factors that can influence older adults' decisions about their health based on information collected online. METHODS: 391 older adults answered an online questionnaire regarding habits and satisfaction with information about health collected on the internet. Data processing involved Logistic Regression. RESULTS: higher education reduces by 44% the likelihood of an older adult following the health recommendations on internet sites. However, social activities and self-perceived health increase the possibility of following the recommendations by 83% and 71%, respectively. The belief that the internet promotes healthy habits increases by 29.2 times the probability of an older adult following the advice. FINAL CONSIDERATIONS: knowing the profile of older adults who use the Internet can help professionals formulate public policies and build good information platforms on health and well-being.

Digital abuse among dating partners: perspectives and experiences of adolescents from two Brazilian capitals.

The conceptions, values, and experiences of students from public and private high schools in two Brazilian state capitals, Vitória-ES and Campo Grande-MS, were analyzed regarding digital control and monitoring between intimate partners and the unauthorized exposure of intimate material on the Internet. Data from eight focus groups with 77 adolescents were submitted to thematic analysis, complemented by a questionnaire answered by a sample of 530 students. Most students affirmed that they do not tolerate the control/monitoring and unauthorized exposure of intimate materials but recognized that such activity is routine. They point out jealousy, insecurity, and "curiosity" as their main reasons. They detail the various dynamics of unauthorized exposure of intimate material and see it as a severe invasion of privacy and a breach of trust between partners. Their accounts suggest that such practices are gender violence. They also reveal that each platform has its cultural appropriation and that platforms used by the family, such as Facebook, cause more significant damage to the victim's reputation.

Between Technological Utopia and Dystopia: Online Expression of Compulsory Use of Surveillance Technology.

This study investigated people's ethical concerns of surveillance technology. By adopting the spectrum of technological utopian and dystopian narratives, how people perceive a society constructed through the compulsory use of surveillance technology was explored. This study empirically examined the anonymous online expression of attitudes toward the society-wide, compulsory adoption of a contact tracing app that affected almost every aspect of all people's everyday lives at a societal level. By applying the structural topic modeling approach to analyze comments on four Hong Kong anonymous discussion forums, topics concerning the technological utopian, dystopian, and pragmatic views on the surveillance app were discovered. The findings showed that people with a technological utopian view on this app believed that the implementation of compulsory app use can facilitate social good and maintain social order. In contrast, individuals who had a technological dystopian view expressed privacy concerns and distrust of this surveillance technology. Techno-pragmatists took a balanced approach and evaluated its implementation practically.

Evaluation of China's live streaming e-commerce industry policies based on a three-dimensional analysis framework.

As an emerging business modality and Internet format, live streaming e-commerce has developed rapidly since its emergence in 2016, especially since the outbreak of the COVID-19 epidemic in late 2019, when an increasing number of businesses from other industries attracted participation. However, with the development of the live streaming e-commerce industry, the industry's market environment is becoming increasingly chaotic. Therefore, during this period, government departments continuously formulate and implement relevant industry policies. In order to exploring the cooperation network structure, policy content distribution, and implementation effectiveness characteristics among publishers, this paper constructs a three-dimensional analysis framework of policy from the perspective of policy tools, policy effectiveness evaluation and policy publishers. The results show that in terms of policy tools, the overall structure of policy tools in the live streaming e-commerce industry is unreasonable, and different types of policy tools are significantly diverse. The proportion of environmental policy tools is greater than that of demand-based and supply-based policy tools, accounting for 62.97%, and among them, the tools related to industry regulation and management account for the largest proportion of the total, which greatly suppresses the enthusiasm of various entities in the industry for development. In terms of policy effectiveness evaluation, most of the policies do not formulate detailed long-, medium-, or short-term goals, nor are the policy priorities, incentive measures, or action modes perfect, indicating that the government's pushing and pulling forces for the live streaming e-commerce industry are insufficient. Finally, in the subject dimension of policy release, the synergy of relevant subjects is constantly improving, but there is also a phenomenon of over-concentration in the synergistic departments.

Competition of multiplatform firms: Implications for the Internet of Things.

The Internet of Things (IoT) technology trend is transforming business and society. This creates a need to understand strategic behavior in the consumer IoT, where firms tend to offer multiple platform devices, and new generations of devices are introduced frequently. We propose a novel analytical model that formalizes the concept of a multiplatform firm that offers a system of platforms, such as a smartphone, and a new platform device, such as a smartwatch, and orchestrates a multiplatform ecosystem. The analysis shows how a platform design decision, like offering a new standalone device, affects consumer choices and market outcomes. We identify two classes of new devices that matter, and show when a new platform device may disrupt the smartphone market. Moreover, we characterize conditions under which it is profitable for a vendor to make its new platform device look and feel more like its smartphone. Overall, we provide insights into how multiplatform firms differ from platform firms. We identify future research opportunities on the economics of consumer IoT and multiplatform ecosystems.

Effect of paternal-maternal parenting styles on college students' internet addiction of different genders: The mediating role of life satisfaction.

This study aimed to understand the current situation of paternal-maternal parenting style, life satisfaction, and internet addiction among college students and explored the influence of paternal-maternal parenting styles and life satisfaction on the internet addiction of male and female college students. A questionnaire survey was administered to 967 college students in China. Life satisfaction partially mediated the effect of the paternal-maternal parenting styles on the internet addiction among college students. However, this mediating role completely varied by gender, and the dimensions of parental styles also had different effects. For male college students, life satisfaction mediated the two dimensions of parenting styles (the father's emotional warmth, the father's overprotection) and internet addiction; the mother's emotional warmth directly related to the internet addiction. Among females, life satisfaction played a partial mediating role between two dimensions of parenting styles (the father's emotional warmth, the mother's interference and protection) and internet addiction. the father's punitiveness and over-involvement were directly related to female students' internet addiction. The study reveals that the mediating effect of life satisfaction on parenting styles and internet addiction among college students is influenced by gender, and the relationship between different parenting styles and internet addiction also varies. These findings indicate that paying attention to the role of the family, especially the parenting style of fathers, is crucial for preventing internet addiction in the future. Prevention and intervention should be treated differently for male and female students.

Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics.

This is a first-of-its-kind dataset containing detailed purchase histories from 5027 U.S. Amazon.com consumers, spanning 2018 through 2022, with more than 1.8 million purchases. Consumer spending data are customarily collected through government surveys to produce public datasets and statistics, which serve public agencies and researchers. Companies now collect similar data through consumers' use of digital platforms at rates superseding data collection by public agencies. We published this dataset in an effort towards democratizing access to rich data sources routinely used by companies. The data were crowdsourced through an online survey and shared with participants' informed consent. Data columns include order date, product code, title, price, quantity, and shipping address state. Each purchase history is linked to survey data with information about participants' demographics, lifestyle, and health. We validate the dataset by showing expenditure correlates with public Amazon sales data (Pearson r = 0.978, p < 0.001) and conduct analyses of specific product categories, demonstrating expected seasonal trends and strong relationships to other public datasets.