E-mail Address Research Articles

Changes in Registered Nurse Employment Plans and Workplace Assessments

The US registered nurse (RN) workforce is in flux, with high rates of burnout, intention to leave, and vacancies. Rapid, repeated assessments of the nursing workforce can help hospital executives and policymakers enact effective recruitment and retention strategies. To identify changes in practicing RNs' employment plans and workplace assessments between the 2022 and 2023 surveys. This survey study compared data collected from the Michigan Nurses' Study at 2 time points: February 22 to March 1, 2022, and May 17 to June 1, 2023. Practicing RNs with an active, unrestricted license in Michigan and a valid individual email address were included. The primary outcome was nurses' intention to leave their current position within 1 year. In the 2023 survey, nurses who planned to leave were queried on their next career step and the primary reason for their planned departure. Workplace assessments included questions about abusive or violent workplace events, emotional exhaustion, job satisfaction, the practice environment's delivery of high-quality care, and the clinical setting's safety rating. Regression analysis was used to examine workplace assessments and personal factors associated with planned departures. This study obtained data on 9150 nurses (6495 females [71.0%]) and 7059 nurses (5134 females [72.7%]) responding to the 2022 (response rate, 8.3%) and 2023 (response rate, 7.4%) surveys, respectively. In the 2023 survey, 32.0% (2259) of nurses planned to leave their position, compared with 39.1% (3576) in the 2022 survey. Of these nurses, 957 (41.8%) planned to leave their current employer but remain in nursing, with workloads as the most frequently cited reason (29.4% [672]). Compared with the 2022 cohort, nurses in the 2023 sample reported less workplace abuse or violence (4591 [50.2%] vs 3063 [43.4%]; P < .001), fewer understaffed shifts (4407 [48.2%] vs 2898 [41.0%]; P < .001), and less frequent use of mandatory overtime (1709 [18.7%] vs 824 [11.7%]; P < .001). Factors associated with increased likelihood for planned departures included workplace abuse or violence (odds ratio [OR], 1.39; 95% CI, 1.05-1.82) and higher emotional exhaustion scores (OR, 3.05; 95% CI, 2.38-3.91). Favorable practice environments (OR, 0.37; 95% CI, 0.22-0.62) and excellent clinical setting safety ratings (OR, 0.28; 95% CI, 0.14-0.56) were associated with lower likelihood of planned departure. Results of this study showed that nurses reported improved workplace conditions in the 2023 vs the 2022 survey; however, planned departure rates, abusive or violent events, and unsafe conditions remained high, and understaffing remained a primary concern for most nurses. Health system leaders and policymakers should prioritize initiatives that support nurse retention and reduce potential workforce instability.

Implementation of Outpatient Automated Stewardship Information System (OASIS©) Audit and Feedback in Two Healthcare Systems

Background: Combating antibiotic resistance, exacerbated by widespread unnecessary outpatient antibiotic prescriptions, necessitates innovative stewardship solutions. Audit and feedback reports are effective but often resource heavy. We introduced a free, open-source system, Outpatient Automated Stewardship Information System (OASIS©), for automating the creation and distribution of recurring audit and feedback reports to clinicians to improve antibiotic prescribing. Methods: We used mixed methods to evaluate implementation of OASIS© across 11 clinics at Denver Health and Hospital Authority (DHHA) and Children’s Hospital Colorado (CHCO) from July 2022 to August 2023. Both sites host their own Epic® electronic healthcare and enterprise data warehouse systems. R statistical software was utilized to retrieve and process the data needed to create individual[HCM1] clinician audit and feedback reports with peer comparison. Reports were provided for 1) antibiotics prescribed for respiratory diagnoses, 2) antibiotics prescribed for respiratory diagnoses where antibiotics are never indicated, 3) first-line antibiotic prescribing for acute otitis media (AOM), and 4) five-day duration of antibiotics for children two years and older with AOM. Feedback reports for each metric were emailed to clinicians for three consecutive months. The primary outcome was adaptations needed to implement OASIS©. Secondary outcomes included fidelity (measured by email readership), time to set up and maintain the program, and barriers and facilitators to implementation (assessed by four qualitative interviews with OASIS© stakeholders). Results: The most significant adaptations made pertained to the automation of OASIS© reports for organizations not using R for data retrieval and reporting, setting up OASIS© specific email addresses, and validating clinician fidelity via read receipts. Fidelity was higher at DHHA (91-100%) compared to CHCO (10-30%). When interviewed, data analysts expressed that time for initial setup ranged from 1-6 hours. After reporting was automated, the estimated monthly time to send reports was 10 minutes. Views on setup complexity were split, but all recognized the readability of the reports and OASIS©’s value for improving prescribing behaviors. The greatest barriers to implementation included obtaining analytic resources for initial setup and the need to download additional R packages. No interviewee had prior experience creating audit and feedback reports. Conclusions: Implementing OASIS© requires addressing system diversity and knowledge gaps in outpatient informatics and antibiotic stewardship. Despite these challenges, the tool proved efficient and beneficial for monitoring and reporting antimicrobial prescribing. This free tool could likely be effectively disseminated to other health systems given the limited time and resources required for adaptations, setup, and monitoring. [HCM1]I

Investigating racial and gender disparities in virtual randomized clinical trial enrollment: Insights from the BE ACTIVE study

Randomized clinical trials (RCTs) often suffer from a lack of representation from historically marginalized populations, and it is uncertain whether virtual RCTs (vRCTs) enhance representativeness or if elements of their consent and enrollment processes may instead contribute to underrepresentation of these groups. In this study, we aimed to identify disparities in enrollment demographics in a vRCT, the BE ACTIVE study, which recruited patients within a single health system. We discovered that the proportions of eligible patients who were randomized differed significantly by gender and race/ethnicity (men 1.2%, women 2.0%, P < .001; White 1.8%, Black 1.3%, Hispanic 0.7%, Asian 0.9%; P < .001), and compared with White patients, non-White patients were less likely to have a valid email address on file and were less likely to click on the email link to the study webpage and begin enrollment.

THE PLAN OF INTEGRATED MARKETING COMMUNICATION WITH EMPHASIS ON DESIGNING A STRATEGY FOR THE BRAND X

Purpose: The article discusses the plan of integrated marketing communication with an emphasis on designing a strategy for the brand X. Marketing communication is one of the key elements of strategic marketing, as it has a significant impact on the recognition and success of a company or brand. It should be emphasized that in the era of information technology, information overload, and increasing consumer demands, the concept of marketing communication is much more complex than simply informing target customers about the existence of a product or service. Methodology: The quantitative research was carried out using a survey questionnaire technique. For this purpose, we used a web-based 1KA survey sent via email addresses. Results: The survey determined (1) the level of general interest in alarm systems for the protection of residential, holiday, and commercial properties, (2) the level of awareness of brand X. We further identified (3) the target audience of the brand X, (4) the key message for advertising needs and (5) communication channels through which to address the target audience. Practical implications: The obtained results were our key guidelines in designing a marketing communication strategy for the brand X, aimed at improving the effectiveness of current marketing campaigns and increasing the sales of products under the selected brand.

Resilience in inter-organizational networks of red buses: dealing with their daily disruptions in critical infrastructures

This research aims to determine how the inter-organizational (supply) system that serves and oversees the critical infrastructures might lessen the negative effects of routine interruptions. Furthermore, this research aims to gain insight into the types of disruptions that Red Buses experience and their strategies to manage them. The subject matter of this discourse pertains to the domains of science, numbers, and statistics. This research employs a quantitative research methodology to examine the effects of routine disruptions on inter-organizational systems and to evaluate the corresponding hypotheses. The individuals involved in this investigation work and operate the Red Bus Service in Karachi. By random sampling, a sample of 152 workers and drivers was selected from the Red Bus Service in Karachi. Data was collected from both electronic and non-electronic sources. Data was collected using Google Forms distributed via various internet channels such as WhatsApp and email addresses. Data was analyzed by Structural Equation Modeling (SEM); we used SmartPLS 4 software for that. The finding shows that disturbance co-occurrence has a negative relationship with CI resilience to focal disruption, a positive relationship with non-routineness, and a negative relationship with economic performance.

Dissociation training and symptom identification accuracy among Australian psychologists.

Dissociation is a common but underrecognized sequelae of trauma exposure. We investigated Australian psychologists' training in dissociation, assessment practices, and accuracy in identifying dissociation symptoms. Participants in this cross-sectional study of Australian psychologists (N = 280) were recruited through publicly available email addresses, graduate psychology programs, and social media. Participants estimated the percentages of their clients who had experienced trauma and had dissociative symptoms, their confidence in assessing and treating trauma and dissociation, their training in trauma and dissociation, and their dissociation screening practices. Participants were also asked to identify dissociation symptoms (per the Dissociative Experiences Scale-II and Somatic Dissociation Questionnaire-5) from a list of trauma-related symptoms. Although 99% of participants reported treating trauma-exposed clients, only 59.6% and 41.1% reported formal training in trauma or dissociation during their psychology qualification, respectively. One in five participants correctly identified all psychoform and somatoform symptoms as dissociation. Accurately identifying psychoform dissociation symptoms was associated with confidence in treating dissociation (p = .048) and having informal peer consultation on dissociation (p = .032). Accurately identifying somatoform dissociation was associated with confidence assessing (p = .006) and treating (p = .009) dissociation and having completed professional development on dissociation (p = .047). Most psychologists demonstrated inaccuracies in their knowledge of dissociation, which raises concern that dissociation may not be recognized in clinical practice and thus go untreated. Training on dissociation should be incorporated into psychology curricula, particularly at the graduate level, and accessible, cost-effective professional development programs for practicing clinicians are needed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Know their Customers: An Empirical Study of Online Account Enumeration Attacks

Internet users possess accounts on dozens of online services where they are often identified by one of their e-mail addresses. They often use the same address on multiple services and for communicating with their contacts. In this paper, we investigate attacks that enable an adversary (e.g., company, friend) to determine (stealthily or not) whether an individual, identified by their e-mail address, has an account on certain services (i.e., an account enumeration attack ). Such attacks on account privacy have serious implications as information about one’s accounts can be used to (1) profile them and (2) improve the effectiveness of phishing. We take a multifaceted approach and study these attacks through a combination of experiments (63 services), surveys (318 respondents), and focus groups (13 participants). We demonstrate the high vulnerability of popular services (93.7%) and the concerns of users about their account privacy, as well as their increased susceptibility to phishing e-mails that impersonate services on which they have an account. We also provide findings on the challenges in implementing countermeasures for service providers and on users’ ideas for enhancing their account privacy. Finally, our interaction with national data protection authorities led to the inclusion of recommendations in their developers’ guide.

Technical Report Column

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Who donates food purchase data for research? Results from two nationwide data collection efforts in Finland

Introduction &amp; BackgroundFood retailers’ transaction data are increasingly used for research. Unlike many other digital footprints, the representativeness of automatically accumulating food purchase data as such is less biased as food is consumed by all individuals. However, the process of obtaining individual/household level data requires consents from the consumers and, thus, may create selection bias. Objectives &amp; ApproachThe aim of this work is to describe the recruitment process and participant characteristics in the Finnish LoCard study to evaluate the selection mechanism. The Finnish LoCard study comprises two cohorts collected in 2018 and 2023 with 47,066 and 42,340 participants, respectively, who have consented to release their food purchase data for research. The study collaborates with S group, the leading retailer in Finland with 47% market share. Members from their loyalty card program were invited to consent to their purchase data being used for research and voluntarily respond to a background questionnaire. Relevance to Digital FootprintsOur analyses may provide further insights into the selectivity of consumers who are willing to share their purchase data for research purposes. ResultsFor both LoCard cohorts, all loyalty card holders (n~2.3M) were considered. In LoCard I, the invitations were sent to 1.1M primary card holders with confirmed email addresses, of whom 47,066 (3.9%) participated and consented to their purchase data being used for research. In this cohort, women, middle-aged individuals, individuals with higher education, and employed individuals were overrepresented whereas the retired individuals, those with lower education and individuals with children were underrepresented. In the LoCard II, loyalty card holders (n ~2.24M) with an email address were invited. Of these, 852,009 (37.7%) opened the invitation link, and a further 42,340 provided the consent, resulting in response rate of 1.9% from the original population and 4.9% from those reacting to the email invitation. Data on the characteristics of LoCard II participants are not available yet but will be presented in the conference presentation. Conclusions &amp; ImplicationsThis work investigates selection mechanisms in the Finnish LoCard study and evaluates the feasibility of reaching underrepresented groups in health studies, such as socioeconomically disadvantaged groups or young men, through a combination of loyalty card program and email invitations.

A hybrid NLP and domain validation technique for disposable email detection

Disposable email address services have gained popularity recently, offering users a way to register for online services without revealing their primary email. However, this poses challenges for organizations aiming to engage with genuine users. This paper introduces a novel approach combining natural language processing (NLP) and domain validation to identify disposable email addresses. The technique employs various machine learning methods, including Support Vector Classifier (SVC), Multinomial Naive Bayes (MNB), Gaussian Naive Bayes (GNB), Logistic Regression, XGBoost Classifier, K Neighbors Classifier, Random Forest Classifier, Linear, and Discriminant Analysis. Unlike traditional methods relying on blacklists, this technique achieves a 97% accuracy rate by effectively detecting and classifying new disposable emails.

Remote Monitoring App for Endocrine Therapy Adherence Among Patients With Early-Stage Breast Cancer

Adjuvant endocrine therapy (AET) use among women with early-stage, hormone receptor-positive breast cancer reduces the risk of cancer recurrence, but its adverse symptoms contribute to lower adherence. To test whether remote monitoring of symptoms and treatment adherence with or without tailored text messages improves outcomes among women with breast cancer who are prescribed AET. This nonblinded, randomized clinical trial (RCT) following intention-to-treat principles included English-speaking women with early-stage breast cancer prescribed AET at a large cancer center with 14 clinics across 3 states from November 15, 2018, to June 11, 2021. All participants had a mobile device with a data plan and an email address and were asked to use an electronic pillbox to monitor AET adherence and to complete surveys at enrollment and 1 year. Participants were randomized into 3 groups: (1) an app group, in which participants received instructions for and access to the study adherence and symptom monitoring app for 6 months; (2) an app plus feedback group, in which participants received additional weekly text messages about managing symptoms, adherence, and communication; or (3) an enhanced usual care (EUC) group. App-reported missed doses, increases in symptoms, and occurrence of severe symptoms triggered follow-ups from the oncology team. The primary outcome was 1-year, electronic pillbox-captured AET adherence. Secondary outcomes included symptom management abstracted from the medical record, as well as patient-reported health care utilization, symptom burden, quality of life, physician communication, and self-efficacy for managing symptoms. Among 304 female participants randomized (app group, 98; app plus feedback group, 102; EUC group, 104), the mean (SD) age was 58.6 (10.8) years (median, 60 years; range, 31-83 years), and 60 (19.7%) had an educational level of high school diploma or less. The study completion rate was 87.5% (266 participants). There were no statistically significant differences by treatment group in AET adherence (primary outcome): 76.6% for EUC, 73.4% for the app group (difference vs EUC, -3.3%; 95% CI, -11.4% to 4.9%; P = .43), and 70.9% for the app plus feedback group (difference vs EUC, -5.7%; 95% CI, -13.8% to 2.4%; P = .17). At the 1-year follow-up, app plus feedback participants had fewer total health care encounters (adjusted difference, -1.23; 95% CI, -2.03 to -0.43; P = .003), including high-cost encounters (adjusted difference, -0.40; 95% CI, -0.67 to -0.14; P = .003), and office visits (adjusted difference, -0.82; 95% CI, -1.54 to -0.09; P = .03) over the previous 6 months compared with EUC participants. This RCT found that a remote monitoring app with alerts to the patient's care team and tailored text messages to patients did not improve AET adherence among women with early-stage breast cancer; however, it reduced overall and high-cost health care encounters and office visits without affecting quality of life. ClinicalTrials.gov Identifier: NCT03592771.

Real-time phishing detection using deep learning methods by extensions

Phishing is an attack method that relies on a user’s insufficient vigilance and understanding of the internet. For example, an attacker creates an online transaction website and tricks users into logging into the fake website to steal their personal information, such as credit card numbers, email addresses, phone numbers, and physical addresses. This paper proposes implementing an extension to prevent phishing for internet users. In particular, this study develops a smart warning feature for the proposed extension using deep learning models. The proposed extension installed in the web browser protects users by checking for, warning about, and preventing untrusted connections. This study evaluated and compared the performance of machine learning models using a malicious uniform resource locator (URL) dataset containing 651,191 data samples. The results of the investigation confirm that the proposed extension using a convolutional neural network (CNN) achieved a high accuracy of 98.4%.

Method for monitoring and forecasting landslide phenomenon based on machine learning

A landslide involves the downward movement of a mass of rock, debris, earth, or soil. Landslides happen when gravitational forces and other types of shear stresses on a slope surpass the shear strength of the materials. Additionally, landslides can be triggered by processes that weaken the shear strength of the slope's material. Shear strength primarily depends on two factors such as frictional strength, which is the resistance to movement between the interacting particles of the slope material, and cohesive strength, which is the bonding between those particles. A landslide is a terrible natural disaster that causes much damage to both human life and the economy. It often occurs in steep mountainous areas or hilly regions, ranging in scale from medium to large. It progresses slowly (20–50 mm/year), but when it occurs, it can move at a speed of 3 m/s. Therefore, early detection or prevention of this disaster is an essential and significant task. This paper developed a method to collect and analyze data, with the purpose of determining the possibility of landslide occurrences to reduce its potential losses.•The proposed method is convenient for users to grasp information of landslide phenomenon.•A machine learning model is applied to forecast landslide phenomenon.•Internet of things (IoT) system is utilized to manage and send a warning text to individual email address and mobile devices.

Predicting fitness for chemotherapy in older adults with metastatic bladder cancer.

e13761 Background: Guidelines advocate using comprehensive geriatric assessments (CGA) in older and frailer adults to optimize treatment recommendations, but it is unclear if genitourinary (GU) oncologists employ them. Through a national survey, this study aimed to evaluate techniques that providers use to predict fitness for chemotherapy in older adults with metastatic bladder cancer. Methods: This cross-sectional study surveyed US-based GU medical oncologists. Providers were included if they were identified as specializing in bladder cancer, had an accessible email address and worked at a National Cancer Institute-designated cancer center or an institution with an ACGME accredited hematology-oncology fellowship. Surveys were sent via email and collected in REDCap. The eleven-item survey consisted of multiple-choice questions and Likert scales evaluating use of geriatric assessments and other tools to predict chemotherapy tolerance. Results: There were 300 GU oncologists contacted, and 37.3% (n=112) completed the survey. Of respondents, 41 (36.6%) practiced in the Northeast with the remainder spread throughout the country. 51.8% (n=58) had practiced for ≥ 10 years, and 81.3% (n=91) had a panel composed primarily of patients ≥ 65-years-old. When making specific chemotherapeutic treatment recommendations, all providers consider a patients’ frailty. The majority (77.7%, n=87) do not use a specific age cut off, but rather, evaluate frailty on a case-by-case basis. Still, in predicting fitness for chemotherapy, 90.2% (n=101) almost never or never utilize a comprehensive geriatric assessment. Primary barriers centered on logistics including time constraints (71.4%, n=80), inadequate staffing (65.2%, n=73) and insufficient resources (33.9%, n=38). Beyond medical comorbidities, factors within a CGA that at least 50% of respondents consider important in predicting treatment tolerance include mobility (87.5%, n=98), social support (81.3%, n=91), cognitive function (73.2%, n=82) and nutritional status (71.4%, n=80) (Table). Conclusions: All surveyed providers believe frailty is important in predicting chemotherapy fitness, but the majority infrequently utilize CGAs in their evaluations. Highlighted barriers include time and resource constraints. While the CGA remains part of the standard of care in evaluating older adults for treatment, if a CGA cannot be performed, GU oncologists could consider focusing pre-treatment evaluation on the most important domains identified in this study: mobility, social support, cognitive function and nutritional status. [Table: see text]

Telehealth access and experiences of older adults with HIV during the COVID-19 pandemic: Lessons for the future.

Telehealth services are proposed to improve access and retention to care for people with HIV (PWH). Yet the rapid uptake of telehealth services during the COVID-19 pandemic created equity concerns, especially for already vulnerable populations. Older PWH may face a combination of barriers to telehealth but also stand to benefit given social isolation and the need for multimorbidity management. Few studies have focused on this population, and we aimed to assess the telehealth capability and experiences of older PWH at an urban HIV clinic. We did this in two ways: (1) we contacted PWH aged ≥65 via telephone about telehealth capabilities and (2) we conducted focus groups with older PWH who transitioned from in-person to virtual classes affiliated with the clinic. Among 179 PWH aged ≥65, 80 answered the telehealth questions. Among those who answered, 91% were male with a mean age of 69 (SD 3.0), and 55% were White. One-third did not have internet access or an email address. A total of 65% had at least one telehealth-capable device but 12.5% of respondents with a device did not know how to use it. Thirteen older PWH participated in focus groups with a mean age of 64 (SD 6.9) and 44% female. Themes were grouped into benefits (social/emotional connection and convenience) and challenges (technological barriers and missed in-person experience). Participants preferred in-person classes but felt telehealth was a good alternative for mitigating isolation. Telehealth gave those with mobility and transportation issues improved access to supportive services. As the COVID-19 public health emergency ends, hybrid options should be considered to improve access for older PWH and address social isolation. Ensuring equitable access to devices and digital literacy training will be critical to ensure services can be utilized.

What Factors May Influence a Clinician's Choice for an Implant System for Their Patients?

BackgroundClinicians have to decide which implant system to use for their patients. Factors influencing a clinician's choice of a specific implant are not well-established. PurposeThe purpose of this study was to identify factors that may influence clinician’s choice of implant. Study design, setting, sampleThis cross-sectional study used a survey instrument and was sent to dentists. Inclusion criteria included if the doctor’s name was the addressee; and if their website indicated they utilize implants. Exclusion criteria included if the email address was directed to individuals other than the clinician, or if the respondent does not place implants as indicated by their website. Predictor variableThe predictor variable was the provider type (oral and maxillofacial surgeon, general dentist, prosthodontist, or periodontist). Outcome variableThe outcome variables were factors that may influence clinician’s choice of implants, measured by their ranked responses. CovariatesAge and sex are the covariates. AnalysesThe survey data was evaluated as a total group, and separated for each provider type. Factors affecting clinical choice were ranked. A mean score was determined. Responses were evaluated using ANOVA with significance at P-value < .05 to determine if there differences among groups. ResultsAfter applying inclusion/exclusion criteria, the final study sample was 353 clinicians, of whom 230 (65.1%) responded to the survey. Factors scored as extremely or somewhat important were ranked from high to low as follows: clinical trial evidence (92%), ease of use (88%), familiarity with system (73%), restorative dentist’s preference (72%), cost (63%), sales representative (59%), key opinion leader (KOL) (66%), a laboratory’s preference (45%), implant company providing continuing education (CE) (66%), and implant company can grow practice (65%). There were differences among providers for the factors that influence choice of implant for cost (P-value =.02), sales representative (P-value =.015), the KOL (P-value = .01), laboratory preference (P-value =.002), providing CE (P-value =.02), and implant company can grow my practice (P-value =.035). ConclusionsFour factors that highly influenced provider’s choice of a specific implant were evidence for success, ease of use, cost, and familiarity with the implant.

Impact of online psychological services on academic achievement and COVID-19 fear in students with addicted parents

BackgroundThe use of online psychological services has shown potential in alleviating mental health concerns during the coronavirus epidemic. This study aimed to investigate the effects of online psychological services on COVID-19 fear and academic achievement among students with addicted parents. MethodsThe current study is a quasi-experimental study with pretest, posttest, and control group. The statistical population of this study included all male and female students in Tehran province in 2022. In order to select the sample, the call to participate in the study was made by the social media (Telegram, WhatsApp, Instagram, LinkedIn) for two months. Then, corona fear questionnaire link was sent to the email addresses of the respondents and 120 students who met the inclusion criteria were selected as the sample of the study. In the next stage, 120 students were randomly assigned in the experimental and control groups. After 8 online sessions, 4 students from the experimental group and 5 students from the control group ended their cooperation due to personal reasons and as a result, 56 and 55 students constituted the experimental and control groups, respectively. ResultsThe results indicated a significant increase in academic achievement for students in the experimental group post-intervention compared to the control group. Additionally, online psychological services appeared to mitigate COVID-19 related fears. ConclusionThis study suggests that online psychological services play a pivotal role in enhancing student's mental well-being during the COVID-19 epidemic.

Detection of Phishing Website using XG – Boost Algorithm

Phishing, a cybercriminal's attempted attack, is a social web-engineering attack in which valuable data or personal information might be stolen from either email addresses or websites. There are many methods available to detect phishing, but new ones are being introduced in an attempt to increase detection accuracy and decrease phishing websites success to steal information. Phishing is generally detected using Machine Learning methods with different kinds of algorithms. In this study, our aim is to use Machine Learning to detect phishing websites. We used the data from Kaggle consisting of 86 features and 11,430 total URLs, half of them are phishing and half of them are legitimate. We trained our data using Decision Tree (DT), Random Forest (RF), XGBoost, Multilayer Perceptrons, K-Nearest Neighbors, Naive Bayes, AdaBoost, and Gradient Boosting and reached the highest accuracy of 96.6using X G Boost

Nurse educators' knowledge and opinions about the "One Health" approach.

This study was conducted to reveal the knowledge and opinions of Turkish nurse educators about the One Health approach. One Health is a collaborative, multisectoral, and transdisciplinary approach working at local, regional, national, and global levels to achieve optimal health (and well-being) outcomes recognizing the interconnections between people, animals, plants, and their shared environment. Despite nurses' unique position to address inequities in health care for all people around the world, the concept of One Health is a relatively new concept in nursing. This is a cross-sectional descriptive study involving a total of 272 nurse educators from various universities in Turkey. The email addresses of nurse educators were obtained from university websites, and the questionnaire form (created using the survey tool Google Forms) was then sent to them. Open-ended questions underwent content analysis, while multiple-choice questions were analyzed in terms of numbers and percentages. Eighty-two percent of nurse educators had never heard of or encountered the One Health approach before. Ninety-six percent of nurse educators think that the One Health approach should be included in nursing education. Nurse educators asserted that nursing should be included as a discipline in the One Health approach due to its relationship with the environment, health prevention and promotion, and its close contact with society. The results of this study underscore the necessity of enhancing One Health knowledge among nursing educators. It is particularly significant that the majority of nurse educators had not previously encountered or been aware of the One Health approach, highlighting an important gap in awareness and understanding. Nursing, silent in the realm of One Health, should integrate this approach, which encompasses human, animal, and environmental health, into nursing education, research, and practice. It is time for action to incorporate One Health into both undergraduate and graduate nursing education programs, conducting research in this area, and fostering collaborations.

Complementary, alternative, and integrative medicine researchers' practices and perceived barriers related to open science: An international, cross-sectional survey.

Open science (OS) aims to make the dissemination of knowledge and the research process transparent and accessible to everyone. With the increasing popularity of complementary, alternative, and integrative medicine (CAIM), our goal was to explore what are CAIM researchers' practices and perceived barriers related to OS. We conducted an anonymous online survey of researchers who published in journals listed in Scopus containing the words "complementary", "alternative", or "integrative" medicine in their names. We emailed 6040 researchers our purpose-built electronic survey after extracting their email address from one of their publications in our sample of journals. We questioned their familiarity with different OS concepts, along with their experiences and challenges engaging in these practices over the last 12 months. The survey was completed by 392 researchers (6.5% response rate, 97.1% completion rate). Most respondents were CAIM researchers familiar with the overall concept of OS, indicated by those actively publishing open access (OA) (n = 244, 76.0%), registering a study protocol (n = 148, 48.0%), and using reporting guidelines (n = 181, 59.0%) in the past 12 months. Preprinting, sharing raw data, and sharing study materials were less popular. A lack of funding was reported as the greatest barrier to publishing OA by most respondents (n = 252, 79.0%), and that additional funding is the most significant incentive in applying more OS practices to their research (n = 229,72.2%). With respect to preprinting barriers, 36.3% (n = 110) participants believed there are potential harms in sharing non-peer-reviewed work and 37.0% (n = 112) feared preprinting would reduce the likelihood of their manuscript being accepted by a journal. Respondents were also concerned about intellectual property control regarding sharing data (n = 94, 31.7%) and research study materials (n = 80, 28.7%). Although many participants were familiar with and practiced aspects of OS, many reported facing barriers relating to lack of funding to enable OS and perceived risks of revealing research ideas and data prior to publication. Future research should monitor the adoption and implementation of OS interventions in CAIM.