Anonymous Way Research Articles

Gamification Powered by a Large Language Model to Enhance Flipped Classroom Learning in Undergraduate Computer Science

The flipped classroom in computer science has become a popular pedagogy where students complete preparatory reading and videos before class, leaving class time for hands-on practice. In theory, students come to class predisposed with knowledge to complete programming tasks, quizzes, and homework assignments. However, if students do not complete or do not fully understand the preparatory material, those students will not be equipped for class and may also be embarrassed to ask questions during class. In this study, we created a gamified quiz that is powered by a Large Language Model (LLM) that loads in questions from the flipped content transcripts. The game offers students a fun assessment after completing the flipped content that will both motivate them and prepare them for class. The game also provides an anonymous way for students to ask questions as they progress through the game content. Those questions can then be analysed by the instructor and reviewed in class. The study compares in-class quiz scores of a control group versus a group that had access to the gamified quiz in an undergraduate software engineering course over three consecutive course modules. The results obtained from both quantitative and qualitative data are promising, showing an increase in student in-class quiz scores along with positive student engagement with the gamified quiz. Students also reported that the game made them more comfortable with asking questions. Future work would extend this research to more students and over a longer period. The LLM and gamification also have much potential, where games can be created dynamically and be customized and personalized for each student's needs. This work shows an exciting gap in research that could lead to gamified experiences for students in the flipped model that are both relevant and personalized with the use of a LLM, offering the students the greatest chance for success.

Assessing Outcomes in HIV Prevention and Treatment Programs With Female Sex Workers and Men Who Have Sex With Men: Expanded Polling Booth Survey Protocol.

Assessing HIV outcomes in key population prevention programs is a crucial component of the program cycle, as it facilitates improved planning and monitoring of anticipated results. The Joint United Nations Programme on HIV and AIDS recommends using simple, rapid methods to routinely measure granular and differentiated program outcomes for key populations. Following a program science approach, Partners for Health and Development in Africa, in partnership with the Nairobi County Government and the University of Manitoba, aims to conduct an outcome assessment using a novel, expanded polling booth survey (ePBS) method with female sex workers and men who have sex with men in Nairobi County, Kenya. This study aims to (1) estimate the incidence and prevalence of HIV; (2) assess biomedical, behavioral, and structural outcomes; and (3) understand barriers contributing to gaps in access and use of available prevention and treatment services among female sex workers and men who have sex with men in Nairobi. The novel ePBS approach employs complementary data collection methods, expanding upon the traditional polling booth survey (PBS) method by incorporating additional quantitative, qualitative, and biological data collection components and an improved sampling methodology. Quantitative methods will include (1) PBS, a group interview method in which individuals provide responses through a ballot box in an unlinked and anonymous way, and (2) a behavioral and biological survey (BBS), including a face-to-face individual interview and collection of linked biological samples. Qualitative methods will include focus group discussions. The ePBS study uses a 2-stage, population- and location-based random sampling approach involving the random selection of locations from which random participants are selected at a predetermined time on a randomly selected day. PBS data will be analyzed at the group level, and BBS data will be analyzed at an individual level. Qualitative data will be analyzed thematically. Data were collected from April to May 2023. The study has enrolled 759 female sex workers (response rate: 759/769, 98.6%) and 398 men who have sex with men (response rate: 398/420, 94.7%). Data cleaning and analyses are ongoing, with a focus on assessing gaps in program coverage and inequities in program outcomes. The study will generate valuable HIV outcome data to inform program improvement and policy development for Nairobi County's key population HIV prevention program. This study served as a pilot for the novel ePBS method, which combines PBS, BBS, and focus group discussions to enhance its programmatic utility. The ePBS method holds the potential to fill an acknowledged gap for a rapid, low-cost, and simple method to routinely measure HIV outcomes within programs and inform incremental program improvements through embedded learning processes.

Customer Identification for Electricity Retailers Based on Monthly Demand Profiles by Activity Sectors and Locations

The increasing competition in the electric sector is challenging retail companies as they must assign its commercial efforts to attract the most profitable customers. Those are whose energy demand best fit certain target profiles, which usually depend on generation or cost policies. But, even when the demand profile is available, it is in an anonymous way, preventing its association to a particular client. In this paper, we explore a large dataset containing several millions of monthly demand profiles in Spain and use the available information about the associated economic sector and location for an indirect identification of the customers. The distance of the demand profile from the target is used to define a key performance indicator (KPI) which is used as the main driver of the proposed marketing strategy. The combined use of activity and location has been revealed as a powerful tool for indirect identification of customers, as 100,000 customers are uniquely identified, while about 300,000 clients are identifiable in small sets containing 10 or less consumers. To assess the proposed marketing strategy, it has been compared to the random attraction of new clients, showing a reduction of distance from the target of 40% for 10,000 new customers.

(No) time to be healthy: Optimal policy with time and monetary investments in health.

Time is often an important ingredient of a healthy lifestyle. Starting from this observation, this paper studies optimal public policy concerned with promoting healthy choices taking into account both monetary and time investments in health. Individuals tend to underestimate the importance of their health while making decisions, which makes their investments too low compared to the first-best. While the decentralization of the first-best requires personalized subsidies on both time and monetary investments, this may be problematic due to informational issues. In a second-best world where individual productivities and time investments are publicly unobservable, whereas monetary investments are observable in an anonymous way, the paper considers a policy with a non-linear income tax and a linear subsidy on monetary health investments. If there are no incentive concerns, all other things equal, monetary investments complementary (substitutable) to time investments should be subsidized more (less) than those independent of time use. The addition of incentive concerns demonstrates that optimal subsidization of monetary health investments is less straightforward than one might think. Overall, the time ingredient in the production of health does play a role in the optimal policy design, affecting not only the subsidy on monetary health investments but also the income taxation.

Impact of Fraud Risk Management and Sustainability of Small and Medium Enterprises in Abuja, Nigeria

Purpose: The purpose of this study are to: to assess the effect of fraud risk Management and the sustainability of SMEs in Nigeria; to find out whether there exist relationship between employee’s education and anti-fraud programs among SMEs in Abuja Metropolis, Nigeria; to examine whether there exist relationship between SMEs in Abuja metropolis and anonymous way of reporting suspected violations of the ethics and anti-fraud programs; and to investigate the nature of relationship between fraud incidents and SMEs in Abuja Metropolis, Nigeria. Methodology: The study made use of survey research design and regression and correlation analysis was used to test the hypotheses raised. The study made use of survey research design and regression and correlation analysis was used to test the hypotheses raised. Theoretical Framework: this study adopted the model of Carter & Rodgers (2008) which was designed on the basis for organisation to move from a separate thrive to achieve sustainability to a more collaborative approach. Findings: Thus, the hypotheses of the study were specified in their null form and were tested using multiple linear regression model and Pearson Product Moment Correlation Analysis. The results of the test were evaluated at 5 percent level. After evaluation of the hypotheses, the findings show that Fraud risk Management has significant effect on the sustainability of SMEs in Abuja Metropolis, Nigeria, the present fraud risk management is effective for the sustainability, effective fraud risk management is key for the survival of my SME, and SMEs in Abuja Metropolis are working in compliance with fraud policies, there is a significant positive relationship between employee’s education and anti-fraud programs among SMEs in Abuja Metropolis, Nigeria, there is a strong positive relationship between education of employees on the importance of ethics and anti-fraud programs and provision of anonymous way to report suspected violations by SMEs. Education of employee has positive and significant relationship with fraud incident among SMEs in Abuja Metropolis, there is no significant relationship between SMEs in Abuja metropolis and anonymous way of reporting suspected violations of the ethics and anti-fraud programs. Conclusion: There is significant relationship between fraud incidents and SMEs in Abuja Metropolis, Nigeria. The therefore recommends that efforts should be made to educate SMEs on how to tackle fraud related risk and SMEs should endavour to share ideas among themselves to enable them properly manage fraud risk.

The OBTAINS study: A nationwide cross-sectional survey on the implementation of extended or continuous infusion of β-lactams and vancomycin among neonatal sepsis patients in China.

Background: Dosing strategies of β-lactams and vancomycin should be optimized according to pharmacokinetic/pharmacodynamic principles. However, there is no available data indicating the implementation of extended infusion (EI) or continuous infusion (CI) administration in the management of neonatal sepsis. Methods: A nationwide cross-sectional survey was conducted and the pediatricians from 31 provinces in China were enrolled. A multidisciplinary team created the questionnaire, which had three sections and a total of 21 questions with open- and closed-ended responses. The survey was then conducted using an internet platform in an anonymous way. The data was eventually gathered, compiled, and examined. To identify the risk factors associated with the implementation of EI/CI, logistic regression was carried out. Results: A total of 1501 respondents answered the questionnaires. The implementation of EI/CI of β-lactams and vancomycin were only available to one-third of the respondents, and the prolonged strategy was primarily supported by guidelines (71.25%) and advice from medical specialists (55.18%). A significant fraction (72.94%–94.71%) lacked a strong understanding of the infusions’ stability. Additionally, it was discovered that more frequent MDT discussions about antibiotic use and the appropriate time pediatricians worked in the neonatal ward were associated with an increase in the use of the EI/CI strategy. Conclusion: The EI/CI strategy in neonatal sepsis was not well recognized in China, and it is necessary to establish a solid MDT team with regularly collaborates. In the near future, guidelines regarding prolonged infusion management in neonatal sepsis should be developed.

16.2 Youth Voice in Project Youth Empowerment and Support (YES): An Online Anonymous Adolescent Mental Health Single Session Intervention to Decrease Hopelessness

16.2 Youth Voice in Project Youth Empowerment and Support (YES): An Online Anonymous Adolescent Mental Health Single Session Intervention to Decrease Hopelessness

Trends in Effectiveness of Organizational eHealth Interventions in Addressing Employee Mental Health: Systematic Review and Meta-analysis.

BackgroundMental health conditions are considered the leading cause of disability, sickness absence, and long-term work incapacity. eHealth interventions provide employees with access to psychological assistance. There has been widespread implementation and provision of eHealth interventions in the workplace as an inexpensive and anonymous way of addressing common mental disorders.ObjectiveThis updated review aimed to synthesize the literature on the efficacy of eHealth interventions for anxiety, depression, and stress outcomes in employee samples in organizational settings and evaluate whether their effectiveness has improved over time.MethodsSystematic searches of relevant articles published from 2004 to July 2020 of eHealth intervention trials (app- or web-based) focusing on the mental health of employees were conducted. The quality and bias of all studies were assessed. We extracted means and SDs from publications by comparing the differences in effect sizes (Hedge g) in standardized mental health outcomes. We meta-analyzed these data using a random-effects model.ResultsWe identified a tripling of the body of evidence, with 75 trials available for meta-analysis from a combined sample of 14,747 articles. eHealth interventions showed small positive effects for anxiety (Hedges g=0.26, 95% CI 0.13-0.39; P<.001), depression (Hedges g=0.26, 95% CI 0.19-0.34; P<.001), and stress (Hedges g=0.25, 95% CI 0.17-0.34; P<.001) in employees’ after intervention, with similar effects seen at the medium-term follow-up. However, there was evidence of no increase in the effectiveness of these interventions over the past decade.ConclusionsThis review and meta-analysis confirmed that eHealth interventions have a small positive impact on reducing mental health symptoms in employees. Disappointingly, we found no evidence that, despite the advances in technology and the enormous resources in time, research, and finance devoted to this area for over a decade, better interventions are being produced. Hopefully, these small effect sizes do not represent optimum outcomes in organizational settings.Trial RegistrationPROSPERO CRD42020185859; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=185859

REGULATION OF FAKE NEWS

Cybernetic space, virtual environment materialized through the use of modern means of information and communication, has an immense amount of content, arranged in a chaotic and often anonymous way, making it difficult to filter out reliable sources. A favorable scenario for the multiplication of misinformation, which appears as one of the great evils of the new century, and one of its tentacles, the fake news. This work intends to evaluate, by analyzing the laws that deal with cyber crimes, if the legal framework presented today in Brazil is prepared to deal with the complexity of the fake news threat and if abroad there are good practices that can be brought to the country. It will use the hypothetical-deductive method as a basic method, using exploratory and qualitative research, with bibliographic research as a procedure, using current legislation, both Brazilian and foreign. As result of the research, it’s observed that the existence of international regulations that pacify both the understanding and the conduction of this issue is essential for the current threat to be eliminated or, at least, lessened. And, among the strategies to contain fake news, checking or verifying facts, called fact-checking, was considered the most viable way to combat the range of information that proliferates without control in the digital world. Following this trend, Europe has been showing growth in the fact-checking movement and in Brazil the first agency was Lupa, in 2015. Other forms of regulation, such as content control and criminal sanctions, can also contribute to this situation. Even so, the effective fight against fake news will only take place when there is international cooperation in favor of the effectiveness and speed of the procedures adopted, curbing its genesis by observing efficient methods of investigation and identification, in addition to specific and simplified civil and criminal rites.

Realization, Self-View, and Disclosure of Pedophilia: A Content Analysis of Online Posts.

In order to treat individuals with pedophilia1 who are at risk of committing offenses, disclosure of the attraction must first take place. The aim of this study was to understand processes of initial recognition of pedophilic attraction, disclosure, and help-seeking. We conducted a qualitative content analysis of online posts from self-identified individuals with pedophilia, finding four categories: (1) Awareness and Initial Self-View (with emotions including denial, shame, and fear), (2) Disclosure (typically made to family, friends, or therapists, but also done online in an anonymous way), (3) People's Reactions to Disclosure (ranging from rejection to support), and (4) Current Self-View (including minimization, distortions, despair, resignation, and non-offending/anti-contact commitment). Our findings highlight the internal process experienced by individuals with pedophilia when first recognizing their attraction to minors, what is involved in disclosure, the importance of others' reactions after disclosure, and the factors that can reinforce a non-offending commitment. Clinical and social implications are discussed.

A review article on global situation of COVID-19 at present

COVID-19 is a coronavirus virus that does not belong to the Coronaviridae family. It was suggested that it originated in the Bats and was distributed to the people of Wuhan, China, in an anonymous way. When an infected person coughs, sneezes, or talks, COVID-19 is spread through respiratory droplets. By touching something dirty and touching the eyes, mouth, or nose, people can get sick. Ideally the incubation period of COVID-19 virus is between three and fourteen days. Nowadays, thousands of people are suffering from this deadly virus and many of them have been died because of this deadly disease. Symptoms of the disease are coughing, fever, sneezing, and sore throat, shortness of breath, headache, and fatigue. In both COVID-19 diagnoses, samples of upper and lower respiratory tract are collected and tested in a laboratory. X-rays and CT scans of the chest are also used to diagnose the disease. Currently, there is no specific treatment for this disease, and as a result there is a need to prevent the disease from spreading.

Attitudes and Expectations of Clinical Research Participants Toward Digital Health and Mobile Dietary Assessment Tools: Cross-Sectional Survey Study.

BackgroundThe adoption of health technologies is key to empower research participants and collect quality data. However, the acceptance of health technologies is usually evaluated in patients or healthcare practitioners, but not in clinical research participants.MethodsA 27-item online questionnaire was provided to the 11,695 members of a nutrition clinical research participant database from the Nantes area (France), to assess (1) participants' social and demography parameters, (2) equipment and usage of health apps and devices, (3) expectations in research setting and (4) opinion about the future of clinical research. Each item was described using frequency and percentage overall and by age classes. A global proportion comparison was performed using chi-square or Fisher-exact tests.ResultsA total of 1529 respondents (81.0% women, 19.0% men) completed the survey. Main uses of health apps included physical activity tracking (54.7%, age-related group difference, p < 0.001) and food quality assessment (45.7%, unrelated to age groups). Overall, 20.4% of respondents declared owning a connected wristband or watch. Most participants (93.8%) expected the use of connected devices in research. However, protection of personal data (37.5%), reliability (35.5%) and skilled use of devices (28.5%) were perceived as the main barriers. Most participants (93.3%) would agree to track their food intake using a mobile app, and 80.5% would complete it for at least a week while taking part in a clinical study. Only 13.2% would devote more than 10 min per meal to such record. A majority (60.4%) of respondents would accept to share their social media posts in an anonymous way and most (82.2%) of them would accept to interact with a chatbot for research purposes.ConclusionsOur cross-sectional study suggests that clinical study participants are enthusiastic about all forms of digital health technologies and participant-centered studies but remain concerned about the use of personal data. Repeated assessments are suggested to evaluate the research participant's interest in technologies following the increase in use and demand for innovative health services during the pandemic of COVID-19.

APT Cyber-attack Modelling: Building a General Model

The global community continues to experience an increase in the scale, sophistication, and successful perpetration of cyber-attacks. As the quantity and value of electronic information have increased, so too have the efforts of criminals and other malicious actors who have embraced the Internet as a more anonymous, convenient, and profitable way of carrying out their activities. The systems are attacked more and more by single or multiple hacktivists, state sponsored hackers, cyber criminals, cyber terrorists, cyber spies, or cyber warfare warfighters. The cyber security approach requires a balance of cyber threat intelligence, real time cyber-attack detection and especially the cyber early warning ability. Threats in cyberspace aredifficult to define, as it is hard to identify the source of attacks and the motives that drive them, or even to foresee the course of an attack as it unfolds. The identification of cyber threats is further complicated by the difficulty in defining the boundaries between national, international, public, and private interests. Because threats in cyberspace are global in nature and involve rapid technological developments, the struggle to respond them is ever-changing and increasingly complicated. Cyber-attack models describe the structure of an attack in different phases. They provide a means to conceptualize the different aspects and elements of an attack. However, it is important to understand that not all attacks must complete all phases to be successful, and the objective of the attack defines the structure of the attack. Different actors have built different cyberattack models. Modeling is used to understand the different goals of cyber attackers. Attack models are based on attack targets and attack objectives. This paper analyzes different APT cyber-attack models and presents a general cyber-attack model.

Fundamental issues and pandemic pushes pharmacists past their limits

Fundamental issues and pandemic pushes pharmacists past their limits

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis.

BackgroundCurrent qualitative literature about the experiences of women dealing with urinary tract infections (UTIs) is limited to patients recruited from tertiary centers and medical clinics. However, traditional focus groups and interviews may limit what patients share. Using digital ethnography, we analyzed free-range conversations of an online community.ObjectiveThis study aimed to investigate and characterize the patient perspectives of women dealing with UTIs using digital ethnography.MethodsA data-mining service was used to identify online posts. A thematic analysis was conducted on a subset of the identified posts. Additionally, a latent Dirichlet allocation (LDA) probabilistic topic modeling method was applied to review the entire data set using a semiautomatic approach. Each identified topic was generated as a discrete distribution over the words in the collection, which can be thought of as a word cloud. We also performed a thematic analysis of the word cloud topic model results.ResultsA total of 83,589 posts by 53,460 users from 859 websites were identified. Our hand-coding inductive analysis yielded the following 7 themes: quality-of-life impact, knowledge acquisition, support of the online community, health care utilization, risk factors and prevention, antibiotic treatment, and alternative therapies. Using the LDA topic model method, 105 themes were identified and consolidated into 9 categories. Of the LDA-derived themes, 25.7% (27/105) were related to online community support, and 22% (23/105) focused on UTI risk factors and prevention strategies.ConclusionsOur large-scale social media analysis supports the importance and reproducibility of using online data to comprehend women’s UTI experience. This inductive thematic analysis highlights patient behavior, self-empowerment, and online media utilization by women to address their health concerns in a safe, anonymous way.

Immigration, Identity, and Anonymity: Intentionally Masked Intolerance in Ireland

Newcomers to Ireland confront a context of reception shaped by large-scale historical emigration and more recent immigration defined by an increasingly diverse set of origin contexts, both within and outside the European Union (EU). How has the Irish population responded to these groups, and how openly do Irish residents express their views toward different immigrant groups? We test this response using a survey experiment, which offered respondents an anonymous way to express any negative attitudes to immigrant groups they may have had. Results from the survey experiment show that Irish residents’ support for Black and Polish immigrations is overstated when expressed directly. In contrast, their sentiment toward Muslim immigrants is notably insensitive to the level of anonymity provided, indicating little difference between overt and covert expression of support (or antipathy). In other words, when race/ethnicity or EU origin is made salient, Irish respondents are more likely to mask negative sentiment. When Islam is emphasized, however, Irish antipathy is not masked. We find that in-group preferences, instead of determining support in an absolute sense, shape the reluctance with which opposition to immigrant groups is overtly expressed.

Mitigating the Challenges of Online Learning and Conduct of Examinations - From Faculty Perspective to Student Satisfaction

This paper aims to explore the effects of imposition of online classes, teaching practices and conduct of examinations on students and faculty alike. The methodologies presented here are the actual practices followed by the faculties while delivering online classes, remote content preparation and distribution, exam guidelines and its implementation during the exams. This paper also explores the exam experience and overall satisfaction from student perspective. Survey was conducted among students in an anonymous way without collecting their identity to gauge their opinion on the way the online classes and exams were conducted. The sample of the study consisted of nearly 142 undergraduate students studying across three engineering colleges. This study finds interesting and mixed conclusions from students. We discuss in brief the challenges faced and how it was overcome by the faculty members and students alike, especially while conducting online examination. Some suggestions have also been made to improve upon not only the online teaching learning processes but also when the pandemic situation normalizes and physical classes would again become the norm. Keywords— Online classes; online teaching; active learning; COVID-19; student survey; student perception.

Evaluation of Dental Students' Awareness and Attitude About Preventive Dental Treatments: Survey Research

Aim: Determination of dental students' approaches to fissure sealant applications; the widespread use and evaluation of their effectiveness of protective dental practices is extremely important. This research aims to evaluate the level of understanding and clinical attitudes of 3rd, 4th and 5th grade students of Necmettin Erbakan University Faculty of Dentistry on preventive dental treatments. Methods: The first part of the questionnaire consists of 10 questions aimed at assessing the students' technical levels of knowledge with data on age, gender and educational level. In the second section analyzing students' clinical behaviors, 11 questions were asked for answers to multiple choices (always, often, sometimes, never). This questionnaire was used on the internet in an anonymous way. Results: The questionnaire was received by 68 3rd grade, 67 4th grade and 75 5th grade students who were previously educated on fissure sealant applications. The vast majority (96.2 percent) of the students involved in the study indicated that the effectiveness of fissure sealants in preventing the development of tooth decay was confirmed by strong scientific evidence. Again, 99.5 percent of the students participating in the study indicated that the justification of the application procedures for the fissure sealant was identified and understood. With the assumption that only new teeth can be applied to fissure sealants, a statistically significant difference between the classes was observed (p&lt;0.05); 3rd graders responded "yes" mainly. Conclusion: Although dental students have sufficient knowledge of protective dental practices and fissure sealants, variations in understanding and implementing clinical practice procedures may be found between classes. Standardization should be provided and education / lectures on preventive dental practices should be increased to obtain the equivalent of theoretical education at the clinical level.

Privacy-Preserving Traffic Monitoring with False Report Filtering via Fog-Assisted Vehicular Crowdsensing

Traffic monitoring system empowers cloud server and drivers to collect real-time driving information and acquire traffic conditions. However, drivers are more interested in local traffic, and sending driving reports to a faraway cloud server wastes a lot of bandwidth and incurs a long response delay. Recently, fog computing is introduced to provide location-sensitive and latency-aware local data management in vehicular crowdsensing, but it incurs new privacy concerns since drivers’ information could be disclosed. Although these messages are encrypted before transmission, malicious drivers can upload false reports to sabotage the systems, and filtering out false encrypted reports remains a challenging issue. To address the problems, we define a new security model and propose a privacy preserving traffic monitoring scheme. Specifically, we utilize short group signature to authenticate drivers in a conditionally anonymous way, adopt a range query technique to acquire driving information in a privacy-preserving way, and integrate it to the construction of a weighted proximity graph at each fog node through a WiFi challenge handshake to filter out false reports. Moreover, we use variant Bloom filters to achieve fast traffic conditions storage and retrieval. Finally, we prove security and privacy, evaluate performance with real-world cloud servers.

Ecclesiastes, Song of Songs

Ecclesiastes, Song of Songs