Data Collection System Research Articles

Assessing attitudes toward research and plagiarism among medical students: a multi-site study.

Research involves the systematic collection and analysis of data to enhance understanding of a particular phenomenon. Participation in medical research is crucial for advancing healthcare practices. However, there has been limited focus on understanding the factors that motivate medical students to engage in research. Additionally, in the era of e-learning, the easy accessibility of online resources has contributed to a widespread 'copy-paste culture' among digital-native students, which is recognized in academia as plagiarism. Existing studies suggest that a contributing factor to the increasing prevalence of plagiarism is students' limited understanding of this act. The purpose of this study was to assess medical students' attitudes toward research and plagiarism, and to evaluate the psychometric properties of the Attitudes Toward Research (ATR) and Attitudes Toward Plagiarism (ATP) questionnaires. This was a multicenter study conducted among medical undergraduate and postgraduate students attending the three medical universities who were involved in research. Students' attitudes toward research and plagiarism were assessed using the ATR and ATP questionnaires. The research instruments underwent translation and cultural adaptation in accordance with internationally accepted methodology. The psychometric properties of the ATR and ATP, including validity and reliability, were assessed. Confirmatory factor analysis was used to test the model's fit to the data. The ATR and ATP questionnaires were completed by 793 medical students who were involved in research (647 undergraduates and 146 PhD students). Cronbach's alpha coefficients of 0.917 and 0.822 indicated excellent and good scale reliability for the ATR and ATP questionnaires, respectively. The five-and three- factor structures of ATR and ATP have been validated with maximum likelihood confirmatory analysis, and the results demonstrated an adequate level of model fit (TLI = 0.930, CFI = 0.942 and TLI = 0.924, CFI = 0.943, respectively). Medical students showed a high degree of positive attitudes toward research and favorable scores across all three domains of attitudes toward plagiarism. In multivariate regression models, age was found to be positively associated with favorable attitudes of research usefulness, positive attitudes, relevance to life subscales and total ATR scale (p < 0.001), while PhD study level was related to research anxiety (p < 0.001) and favorable attitudes across all three ATP domains (p < 0.001). Medical students who were involved in research showed a high degree of favorable attitudes toward research and plagiarism. Adjusting medical school curricula to include research courses would broaden the students' interest in scientific research and maximize their impact on the full preservation of research ethics and integrity.

Data-Driven Insights Into Post-Earthquake Reconnaissance Findings: 2023 Türkiye Earthquake Sequence

Post-earthquake reconnaissance stands as a vital endeavor, encompassing a systematic survey and data collection to gain insights into the aftermath of seismic events. Grappling with a multitude of multidimensional data poses inherent challenges in the proper interpretation and extraction of hidden information. This paper unfolds in two parts. Initially, we delineate the reconnaissance mission following the February 06 Türkiye earthquake sequence, elucidating the challenges, complexities, and nature of the amassed data. Subsequently, a paradigm shift toward automated machine learning (AutoML) is embraced to ascertain the optimal model, categorize observed damages, and unveil underlying patterns within the collected data. The most accurate machine learning model is then coupled with Shapley Additive Explanations (SHAP) to explicate observations, steering away from a black-box model. SHAP values discern and prioritize factors significantly contributing to various damage levels. The results reveal a test set accuracy of 0.75 and 0.95 for multi- and binary-class problems, respectively, employing both raw and composite features. Building-related features exert more control over light damage, while earthquake-related factors dominate severe damage. In critical damage scenarios, duration- and velocity-dependent intensity measures assume significance. Furthermore, findings indicate that if column and wall indices are below 0.07 and 0.08, respectively, they positively contribute to the likelihood of critical structural damage.

Classification of Ship Type from Combination of HMM–DNN–CNN Models Based on Ship Trajectory Features

This study proposes an enhanced ship-type classification model that employs a sequential processing methodology integrating hidden Markov model (HMM), deep neural network (DNN), and convolutional neural network (CNN) techniques. Four different ship types—fishing boat, passenger, container, and other ship—were classified using multiple ship trajectory features extracted from the automatic identification system (AIS) and small fishing vessel tracking system. For model optimization, both ship datasets were transformed into various formats corresponding to multiple models, incorporating data enhancement and augmentation approaches. Speed over ground, course over ground, rate of turn, rate of turn in speed, berth distance, latitude/longitude, and heading were used as input parameters. The HMM–DNN–CNN combination was obtained as the optimal model (average F-1 score: 97.54%), achieving individual classification performances of 99.03%, 97.46%, and 95.83% for fishing boats, passenger ships, and container ships, respectively. The proposed approach outperformed previous approaches in prediction accuracy, with further improvements anticipated when implemented on a large-scale real-time data collection system.

Real-world data to improve organ and tissue donation policies: lessons learned from the tissue and organ donor epidemiology study.

The transplantation of human organs, and some human tissues, is often the only life-saving therapy available for serious and life-threatening congenital, inherited or acquired diseases. However, it is associated with a risk of transmission of communicable diseases from donor to recipient. It is imperative to understand the characteristics of the donor population(including both potential and actual donors) to inform policies that protect recipient safety. The Tissue and Organ Donor Epidemiology Study (TODES) was a pilot project designed to identify and collect standardized information on deceased persons referred for organ, tissue and/or eye donation, and to estimate (to the extent possible) infectious disease prevalence and incidence of human immunodeficiency virus (HIV), hepatitis B virus (HBV) and hepatitis C virus (HCV) in this population. TODES is summarized here to shed light on addressable limitations on accessing data needed for transplant recipient safety. Limitations, future research needs and potential pathways to solve the remaining data needs are explored. Retrospective data for all deceased donors during a 5-year period from 2009 to 2013 were obtained from participating organ procurement organizations (OPOs), tissue establishments and eye banks. These decedent data were used to ascertain whether the available real-world data (RWD) could be used to inform donor screening and testing policy. The TODES database contains 291848 records received from nine OPOs and 42451 records received from four eye banks. Data were analysed from deceased donors with at least one organ, tissue or ocular tissue recovered with the intent to transplant. Results for potential donors were not analysed. Available RWD at the time of the TODES study were not fit-for-purpose to help characterize the organ, tissue and eye donor populations and/or to inform donor screening policy. Recent advances in electronic data collection systems make it more realistic to now collect fit-for-purpose RWD that address the research needed to improve transplant safety.

The effect of comorbidity on 28-day perioperative mortality rate among non-cardiac surgical patients in Northwest Ethiopia: a prospective cohort study using propensity score matching.

Non-communicable diseases account for nearly three-fourths of global deaths impacting public health and development. Coexisting diseases can complicate the management of surgical diseases, increasing the risk of perioperative mortality. Despite this, few studies have examined the burden of comorbidities among surgical patients and their effect on perioperative outcomes in low-income countries. In this study, we assessed the impact of comorbidity burden on 28-day perioperative mortality using a prospective data set. This was a facility-based prospective cohort study. Adult patients aged ≥ 18 who underwent non-cardiac surgery were included. Patients were followed for 28 days following surgery. Perioperative data were collected using an electronic data collection system from June 01, 2019, to June 30, 2021, at Tibebe Ghion Specialized Hospital, Northwest, Ethiopia. A propensity score-matched analysis was employed to assess the effect of comorbidity on the 28-day perioperative mortality rate. Of the 3030 patients included in this study, 715 (23.59%) had at least one comorbidity. Based on the prevalence rate, the top four comorbid conditions observed were hypertension (0.050), cancer (0.036), diabetes mellitus (0.021), and human immunodeficiency virus (0.021). The 28-day perioperative mortality rate was shown to be significantly higher among patients with comorbidity, where 45 (6.29%) of the 715 patients with comorbidity died compared to 49 (2.12%) of the 2315 patients with no comorbidity (p-value < 0.0001). After propensity score matching potential confounders, patients who have comorbidity had a 2.52% (average treatment effect on treated (ATT) = 0.0252) higher risk of perioperative death at 28 days after surgery compared with patients who did not have comorbidity. This study found a moderate prevalence of comorbid illnesses among non-cardiac surgical patients, with comorbidity increasing the risk of 28-day perioperative mortality. Preoperative screening and optimization are highly recommended for patients with comorbid illness to decrease perioperative mortality rate.

PERFORMANCE EVALUATION OF NATURAL AND FORCED CONVECTION IN SOLAR DRYERS FOR MULLET FISH

Ombak Damai Trading, a Malaysian company specialising in dried mullet fish, needed to dry the fish faster to meet growing demand. They reduced the drying time from 1-2 days to 3-4 hours using a solar dryer. The dryer was equipped with an IoT (Internet of things) weighing system for precise monitoring and data collection. Two inlet fans were added for forced convection drying. Measurements of weight, temperature, and humidity were taken for ten days. The forced convection system was found to be 85.78% effective, compared to 59.36% for natural convection. Moisture analysis revealed that the forced convection system removed more moisture, with a maximum percentage of 36% compared to 22% for natural convection. Forced convection also had a higher drying rate of 60.17 g/hour compared to 37.83 g/hour for natural convection. These findings can help seafood businesses optimise the drying process and achieve target moisture levels. Further studies are recommended to examine the forced convection system's commercial scalability, as well as the effects of drying on nutritional content and sensory qualities.

From gene to therapy: a review of deciphering the role of ABCD1 in combating X-Linked adrenoleukodystrophy.

X-linked adrenoleukodystrophy (X-ALD) is a severe genetic disorder caused by ABCD1 mutations, resulting in the buildup of very-long-chain fatty acids, leading to significant neurological decline and adrenal insufficiency. Despite advancements in understanding the mechanisms of X-ALD, its pathophysiology remains incompletely understood, complicating the development of effective treatments. This review provides a comprehensive overview of X-ALD, with a focus on the genetic and biochemical roles of ABCD1 and the impacts of its mutations. Current therapeutic approaches are evaluated, discussing their limitations, and emphasizing the need to fully elucidate the pathogenesis of X-ALD. Additionally, this review highlights the importance of international collaboration to enhance systematic data collection and advance biomarker discovery, ultimately improving patient outcomes with X-ALD.

An evaluation of the impact of the Lambeth PCN pharmacist anticoagulation skills development project

Abstract Background Atrial Fibrillation (AF) is a prevalent heart condition linked to significant morbidity and mortality due to its association with stroke.1 Despite the clear benefits of anticoagulation in reducing stroke risk, its underuse and suboptimal monitoring remain a concern.2 Aim This study aims to evaluate the impact of a pharmacist-led training programme in Lambeth, London, focusing on improving pharmacists' competency and confidence in managing Direct Oral Anticoagulants (DOACs). It assesses if the training met pharmacists' needs, evaluates current monitoring patterns to determine if training was warranted, and identified areas for further training improvement. Methods The study involved 41 GP practices across 9 Primary Care Networks (PCNs) in Lambeth. Practices were eligible based on their involvement in the management of AF patients prescribed DOACs. All pharmacists at these practices who were actively engaged in anticoagulation management and willing to participate in pre- and post-training assessments were invited to take part. Recruitment involved direct communication through practice managers and emails detailing the study’s objectives and benefits. DOAC monitoring data was extracted from patient medication records and subsequently compared to the South East London anticoagulation guidelines3 to establish compliance percentages. A competency assessment was conducted on pharmacists using a pre- and post-training checklist framework devised by the Consultant Anticoagulant Team at Guy’s and St Thomas’ NHS Foundation Trust (GSTT). The Wilcoxon signed-rank test analysed this paired data, with a p &amp;lt; 0.05 set for statistical significance. Additionally, semi-structured interviews were conducted to gather insights on their training experience and perceptions. Transcripts were coded using NVIVO software to identify themes. Ethical approval was obtained from Kingston University London. Results Of the 2,987 AF patients across the 41 GP practices, 87.6% were on DOACs. Prescribing and monitoring trends were consistent across all GPs, with scope to improve compliance across all parameters, such as CHA₂DS₂-VASc score assessment prior to DOAC initiation. The competency assessment, completed by ten pharmacists, showed a significant improvement post-training, with mean scores rising from 3.3 to 4.1 (p&amp;lt; 0.00001). Improvements were seen across all domains, particularly in explaining the rationale for anticoagulation, showing CHA₂DS₂-VASc and HASBLED scores, and discussing modifiable HASBLED factors. Competency in patient communication remained highest, while managing particular cases like reversal procedures and patients with cancer showed lower competency, indicating areas for training improvement. The interviews, conducted with ten pharmacists, revealed three main themes: (1) Confidence and competence in anticoagulant prescribing and optimisation, (2) Evaluation of the training programme's effectiveness, and (3) Professional growth and career development. Pharmacists reported greater confidence in managing DOACs post-training, though challenges remained in patient engagement and collaboration with GPs lacking DOAC knowledge. Discussion / Conclusion The evaluation proved a positive impact on pharmacists' competency and confidence in DOAC management. Suboptimal monitoring practices in Lambeth highlighted the need for this training programme and its crucial role in improving patient outcomes. Limitations include a small interview sample and potential biases in self-reported evaluations. A longitudinal study is recommended to assess long-term impacts. Ongoing training and systematic data collection are essential, and similar training should be extended to other healthcare professionals.

Unveiling the hidden hands: Analysis of corporate ownership of industrial tuna fishing vessels in the Eastern Pacific Ocean

Distant-water fishing (DWF) refers to fishing operations conducted by companies in waters beyond their national exclusive economic zones (EEZs), often targeting the EEZs of other coastal states or international waters. Research on DWF typically emphasizes the flag states of vessels, rather than the nationalities of the corporations that own them, despite evidence of efforts to obscure ownership. This paper examines the corporate owners of 1648 industrial and semi-industrial tuna fishing vessels in the Eastern Pacific Ocean (EPO) using Orbis data, analyzing ownership at three levels: flag state, direct corporate owners, and ultimate corporate owners. Results show that flag state data alone understate the true fishing capacity of key DWF nations. Shifts in ownership nationality across levels are significant, notably for Taiwanese and Spanish corporations owning vessels through proxies in the Global South. These ownership shifts impact 6 % of vessels and 14 % of gross tonnage in the registered EPO tuna fleet. Furthermore, spatial analysis using Global Fishing Watch data highlights the Galapagos Islands EEZ as a critical fishing zone, frequently accessed by foreign fishing corporations through Ecuadorian intermediaries. This study underscores the need to incorporate ownership data into fisheries governance for greater transparency and accountability. The systematic collection and analysis of ownership data would allow fisheries managers to better monitor capacity, address power concentration, and promote policies that ensure fairer distribution of resources and benefits.

Effect of Teachers Attitudes towards Teaching on Students’ Performance in Mathematics Subject in Public Day Secondary Schools in Rwanda: A Case of Huye District

The study investigated how teachers' attitudes toward teaching influenced students' academic progress in mathematics in a public secondary school in Huye District. Specifically, the research identifies the teachers' attitudes toward teaching that could influence the achievement of pupils in Mathematics-related subjects in public day secondary schools in Huye district. Guided by the Theory of Planned Behavior, this study used a combined method approach to collect both quantitative and qualitative data to examine how teachers' attitudes influence their teaching practices in Mathematics. Purposive and random sampling were applied to select sectors, schools, and participants, allowing for systematic data collection and analysis on teachers' attitudes and their influence on students’ performance. The target population for this study was 200, including 3 sector educational officers, 5 head teachers, 25 mathematics teachers and 167 Mathematics students; and the Yamane method was used to calculate a sample size of 134 respondents including 2 sector educational officers, 3 Head teachers, 15 teachers and 114 students. Primary data sources included surveys, while secondary data came from observation and interview methods. This study used purposive, stratified and simple random sampling procedures to create a sample group of respondents. The research collected and analyzed data using both quantitative and qualitative approaches. Content analysis helped with qualitative data analysis, while quantitative data was presented in SPSS Version 21.0 utilizing statistical methods such as descriptive (frequency, percentage, imply and deviation from the mean) and inferential statistics (correlational and regression analysis). For the study objective, the results show that 76.3% strongly agreed that teachers' communication skills, 69.3% strongly agreed that effective goal-setting, 64.9% strongly agreed that lesson preparation, 61.4% strongly agreed that lesson preparation, 78.1% strongly accepted that professional commitment, and 68.0% highly agreed that adaptability and flexibility reflect my teachers' attitudes toward teaching. 64.9% strongly agreed that early arrival in class during the teaching lesson reflects the teachers' attitudes toward teaching. The study found a strong positive correlation between exams, test results, and factors like interpersonal skills, goal-setting, lesson preparation, and professional commitment, which all contributed to improved student performance. The researcher concluded that early attendance and communication skills of teachers were also linked to positive educational outcomes, with tests enhancing performance across subjects. With a p-value below 0.05, the study showed that active class participation boosts effectiveness. Recommendations included improving teacher attitudes towards math, enhancing confidence, making Math enjoyable, investing in teacher training, providing resources and encouraging community involvement in Math careers. Regular follow-ups and ongoing professional development for teachers were also advised.

Utilizing Data Mining Techniques in Geophysical and Biological Analysis for Assessing Environmental Risks

This study aimed to assess environmental risks using data extraction techniques. It focused on geophysical and biological factors and addressed the urgent need for effective risk management strategies to reduce soil erosion, water pollution, and air quality deterioration. A comprehensive dataset was created through the systematic collection of geophysical and biological data including temperature, soil composition, and biological abundance index. It used equipment such as satellite sensors and mountain transmitting stations. Various statistical tools used include decision trees and random forest algorithms. They were used to analyze data and identify important environmental risk factors. The results showed some interesting insights, revealing that the Neural Network has an accuracy of 95.5%, and the Random Forest algorithm predicts risk with an accuracy of 92.0%. It analyzed the classification of environmental hazard zones and identified high-risk zones, such as Zone A, which contains 10,000 people affected by erosion and Zone D, 20,000 people who were at risk from soil contamination. The study concludes that social media can significantly improve understanding and management of environmental risks. Additionally, it provides a useful framework for decision-makers and stakeholders to promote sustainable environmental practices.

Main epidemiological indicators of type 1 diabetes mellitus in children in the Russian Federation for 2014-2023

Type 1 diabetes mellitus (T1DM) is the most common form of diabetes mellitus in childhood, where, unlike in adults, it accounts for more than 90% of all cases of diabetes. The constant change in the epidemiology of T1DM with significant differences in populations and regions requires systematic data collection and analysis for timely monitoring of T1DM trends. Analysis of the main epidemiological indicators of T1DM in children in the Russian Federation over the past 10 years - from 2014 to 2023. The object of the study was the data obtained from the federal statistical observation form No. 12 «Information on the number of diseases registered in patients living in the service area of a medical organization» for the period from 2014 to 2023. The prevalence (total number of registered cases) and incidence (cases with a diagnosis established for the first time) of T1DM (ICD-10 code: E10) were analyzed in children in three age groups: from 0 to 14 years, from 15 to 17 years, and combined from 0 to 17 years (inclusive). Over the analyzed period, the prevalence of T1DM increased steadily from 238.6 in 2014 to 374.2 cases per 100,000 children in 2023. The prevalence of T1DM in adolescents from 15 to 17 years was higher than in children and amounted to 120.3-203.2 cases per 100,000 adolescents, while in children under 14 years of age, the prevalence was 100.1-172.2 cases per 100,000 children. The annual increase in the prevalence of T1DM averaged 6.3% (95% CI 4.9-7.8). The incidence of T1DM during the analyzed period was 19.1-27.2 cases per 100,000 children and also had a general tendency toward an annual increase in new cases. At the same time, over the past three years, there has been a relative stabilization of incidence rates at 26.5-27.2 per 100,000 children. The annual increase in incidence averaged 4.9% (95% CI 0.9-8.9). The greatest increase in the incidence of T1DM was observed in regions with low incidence. The epidemiology of T1DM in the Russian Federation is characterized by significant regional and dynamic changes. Over the period 2014-2023, the incidence of type 1 diabetes in children has increased significantly, increasing annually by an average of 5%, while there has been a relative stabilization of incidence rates over the past three years.

Experimental Evaluation of Gas-Dynamic Conditions of Heat Exchange of Stationary Air Flows in Vertical Conical Diffuser

Conical diffusers are widely used in technical devices (gasifiers, turbines, combustion chambers) and technological processes (ejectors, mixers, renewable energy). The perfection of flow gas dynamics in a conical diffuser affects the intensity of heat and mass transfer processes, the quality of mixing/separation of working media and the flow characteristics of technical devices. These parameters largely determine the efficiency and productivity of the final product. This article presents an analysis of experimental data on the gas-dynamic characteristics of stationary air flows in a vertical, conical, flat diffuser under different initial boundary conditions. An experimental setup was created, measuring instruments were selected, and an automated data collection system was developed. Basic data on the gas dynamics of air flows were obtained using the thermal anemometry method. Experimental data on instantaneous values of air flow velocity in a diffuser for initial velocities from 0.4 m/s to 2.22 m/s are presented. These data were the basis for calculating and obtaining velocity fields and turbulence intensity fields of the air flow in a vertical diffuser. It is shown that the value of the initial flow velocity at the diffuser inlet has a significant effect on the gas-dynamic characteristics. In addition, a spectral analysis of the change in air flow velocity both by height and along the diffuser axis was performed. The obtained data may be useful for refining engineering calculations, verifying mathematical models, searching for technical solutions and deepening knowledge about the features of gas dynamics of air flows in vertical diffusers.

State primary standard for units of absorbed dose and absorbed dose rate of photon, electron, proton radiation and in carbon ion beams, quantity, fuence, fux density and energy of particles in proton beams and heavy charged particles GET 38-2024

The problem of ensuring the accuracy and traceability of the measurement results of the absorbed dose in carbon ion beams, as well as the measurement results of the amount, fluence, flux density and energy of particles in proton and heavy charged particles beams is considered. Until now, in practice, these values have been measured only by indirect methods. The lack of approved measuring instruments for the quantities under consideration and the metrological traceability of measurement results of these quantities to standards did not allow achieving consistency of measurement methods used in practice and confirming the reliability of the results obtained. To solve this problem, three measuring complexes have been developed and created, which are included in the State Primary Standard of units of absorbed dose and absorbed dose rate of photon, electron, proton radiation and in carbon ion beams, quantity, fluence, flux density and energy of particles in proton and heavy charged particles beams GET 38-2024. The measuring complex for reproducing the unit of absorbed dose in carbon ion beams consists of an adiabatic calorimeter, a thermostating system, a data collection and processing system and a vacuum pumping station. To reproduce the unit of energy of protons and heavy charged particles, a complex has been implemented, which includes a total absorption calorimeter, a data collection and processing system, a vacuum pumping station and a particle count determination system based on the use of a Faraday cup. To reproduce the units of fluence and particle flux density in proton and heavy charged particles beams, a measuring complex has been created containing a Faraday cup, a set of collimators and a low current meter. The schemes, the principles and the results of studies of the metrological characteristics of the developed measuring complexes are described. The results are relevant for the field of radiation therapy and radiation resistance tests of the electronic component base used in the space industry.

The Context of Poverty and Cancer: Denying Human Potential.

Poverty is a carcinogen and a leading cause of cancer disparities and overall mortality in the United States. Poverty is often viewed as an individual failure for "being poor," but in fact, poverty is structurally driven, intergenerational, and place-based that socially deprives and denies human potential. Disparities in timely cancer prevention, diagnosis, treatment, survivorship, and survival disproportionally impact people living in poverty and especially in persistent poverty areas, an extreme form of place-based poverty that affects communities over multiple generations. There has been some progress made to address place-based conditions that exacerbate poverty, such as the NCI's initiative on persistent poverty. However, gross inequality and cancer disparities continue to exist and persist. The time is now to accelerate the development of research-informed strategies and solutions with communities along with multisectoral collaborations with education, housing, occupation/workforce, foster care, criminal justice, transportation, and data collection systems. This commentary discusses the structural, place-based, and generational context of poverty, illustrates how entrenched inequities shape poor cancer outcomes, and describes opportunities for future research.

Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review.

The integration of patient-reported outcomes (PROs) into electronic health records (EHRs) has enabled systematic collection of symptom data to manage post-treatment symptoms. The use and integration of PRO data into routine care are associated with overall treatment success, adherence, and satisfaction. Clinical trials have demonstrated the prognostic value of PROs including physical function and global health status in predicting survival. It is unknown to what extent routinely collected PRO data are used in the development of risk prediction models (RPMs) in oncology care. The objective of the scoping review is to assess how PROs are used to train risk RPMs to predict patient outcomes in oncology care. Using the scoping review methodology outlined in the Joanna Briggs Institute Manual for Evidence Synthesis, we searched four databases (MEDLINE, CINAHL, Embase, and Web of Science) to locate peer-reviewed oncology articles that used PROs as predictors to train models. Study characteristics including settings, clinical outcomes, and model training, testing, validation, and performance data were extracted for analyses. Of the 1,254 studies identified, 18 met inclusion criteria. Most studies performed retrospective analyses of prospectively collected PRO data to build prediction models. Post-treatment survival was the most common outcome predicted. Discriminative performance of models trained using PROs was better than models trained without PROs. Most studies did not report model calibration. Systematic collection of PROs in routine practice provides an opportunity to use patient-reported data to develop RPMs. Model performance improves when PROs are used in combination with other comprehensive data sources.

Nurse leaders’ recommendations for implementing LGBTQ+ inclusive practices in health systems: A qualitative descriptive study

BackgroundDiscrimination against lesbian, gay, bisexual, transgender, queer or questioning, and other sexual and gender diverse (LGBTQ+) individuals in healthcare settings remains a priority issue. Nurse leaders, who oversee the largest healthcare workforce, are critical in implementing inclusive practices to address LGBTQ+ discrimination, yet implementing LGBTQ+ inclusive practices and effective strategies is inconsistent. This qualitative descriptive study explored nurse leaders’ perceptions of LGBTQ+ inclusive practices across the United States to inform recommended strategies within health systems. MethodsTwenty-one nurse leaders (e.g., chief nurse executives) from diverse healthcare settings (e.g., children's hospitals and public health centers) in 12 states across the United States participated in semi-structured interviews from October to December 2023. Interview transcripts were analyzed using content analysis to (1) describe nurse leaders’ definitions of LGBTQ+ inclusive practices and (2) identify effective strategies for their implementation. ResultsNurse leaders defined LGBTQ+ inclusive practices to include delivering culturally responsive and competent care, fostering safe and affirming environments, integrating inclusivity into daily interactions and organizational culture, and supporting the needs of both LGBTQ+ staff and patients. Key implementation strategies included fostering a flexible organizational culture through open communication; a diverse workforce; and inclusive mission statements, policies, and strategic plans. Supportive infrastructure involved effective LGBTQ+ training and adapting electronic health record systems to include information on sexual orientation and gender identity. Active and interdisciplinary engagement from staff and leadership, as well as systematic data collection on patient and staff experiences, were essential for driving inclusivity. The advocacy highlighted included legislative support, discourse within the nursing profession, and the incorporation of LGBTQ+ inclusion into healthcare regulations and accreditation standards. Additionally, multisectoral partnerships with LGBTQ+ health experts and external organizations, along with multilevel evaluations, were recommended to develop tailored interventions and promote LGBTQ+ inclusive practices. ConclusionImplementing LGBTQ+ inclusive practices in healthcare is a multifaceted effort influenced by strategies at various levels. Promoting a supportive organizational culture, establishing comprehensive support structures, encouraging active engagement, and fostering community partnerships can address the needs of LGBTQ+ individuals more effectively. Future implementation efforts should tailor strategies to accommodate variability across healthcare settings and regions, ensuring that practices are both adaptable and sustainable.

Characteristics and fire-inducing risk analyses of arc faults in low-voltage electrical systems

Arc fault is a prevalent phenomenon in low-voltage residential power systems and the main cause of electrical fires. This paper explores the fire risks associated with arc faults and employs standards from arc fault detection devices (AFDD) to create an arc fault experimental system complemented by an integrated multi-sensor system for ignition related data collection. The objective is to synthetically examine the dynamic characteristics and ignition mechanisms of arc faults. This paper investigates the generation mechanisms, waveforms, and energy characteristics of arc faults, including waveform distinctions across different load types and patterns of energy variation during arcing. Data from the multi-sensor system become the cornerstone of the correlation analysis between the current, energy, and ignition phenomena, facilitating the construction of an ignition probability model based on maximum likelihood estimation. The reliability of the model is verified across various datasets with a 95 % confidence interval, offering a quantitative fire-inducing risk assessment of arc faults. Furthermore, the paper assesses the AFDD standards’ break time limits and evaluates the performance of seven AFDD prototypes based on the proposed model, demonstrating the effectiveness of this technology in mitigating the risks of fires induced by arc faults. This study systematically analyzes the behaviors and ignition mechanisms of arc faults, thereby providing scientific evidence and data that support the enhancement of arc fault detection technologies and the development of fire prevention strategies.

Two-level integrated verification evaluation method based on comprehensive weighted assessment in multiple scenarios

The complexity and diversity brought by the distributed architecture of the new generation electric information collection system have deepened the difficulty of constructing evaluation verification index systems and quality evaluation models. Moreover, the presence of differentiated components has made fair and scientific verification challenging. Therefore, leveraging graph neural networks and siamese networks, a integrated construction quality evaluation system based on comprehensive weighted assessment in multiple scenarios was developed. Firstly, a graph neural network was constructed based on terminal data of the branches electricity usage information collection system and the link topology structure. Subsequently, this network was deployed on the headquarters side to directly acquire terminal data and generate mirror network input from the branches data, enabling real-time acquisition of various system operational indicators. Finally, the similarity between the headquarters and branches data was calculated using siamese networks to compute accuracy compensation weights for checking and evaluating various indicators, thereby obtaining comprehensive weighted quality evaluation indicators of the branches new generation electric information collection system. We use three types of services including electricity data collection, load forecasting, and task scheduling as experimental scenarios. The results showed that the multidimensional comprehensive weighted quality assessment combined with accuracy compensation obtained from the siamese network resulted in business construction quality assessment values of 97.92%, 95.95%, and 99.96% in branch. This value is approximately equal to the quality evaluation value of manual work, so the method can effectively verify the construction quality of new systems in the branch.

One faith for different realities: accounting and management practices of Benedictine monasteries

Purpose This paper aims to explore how the accounting and management practices of monastic institutions were shaped by their surrounding social, political, geographical and economic environments, as well as religious ideologies, during critical historical periods. Design/methodology/approach By applying institutional theory and the comparative international accounting history perspective, this study conducts a comparative analysis of archival records from two monasteries, examining how their accounting and managerial practices were influenced by differing institutional logics. The research relies on systematic archival data collection, complemented by secondary sources, to analyze how religious beliefs shaped the accounting and management practices of these institutions and the degree of convergence between the two. Findings This study found that both monasteries adapted their accounting and management practices to their external environments. San Placido demonstrated resilience amidst disruptions such as wars and earthquakes, while Silos showed financial sophistication through diverse income streams. The resilience of these institutions was driven by their ability to align internal operations with external political, economic and social factors. This adaptability, coupled with strategic management, enhanced their capacity to maintain financial stability, illustrating the direct link between external changes, organizational resilience and improved financial health. Research limitations/implications This study highlights the historical interplay between religious principles and accounting management practices in Benedictine monasteries by comparing two monasteries. It reveals how external environments shape internal operations, showcasing the resilience and adaptability of these institutions in maintaining financial sustainability through the alignment of external pressures with internal resilience mechanisms, which in turn bolster their financial health. Originality/value This research contributes valuable insights to historical managerial and accounting literature, shedding light on the financial resilience and strategies used by Benedictine monasteries. It underscores the enduring respectful legacy of their accounting practices and the unique interplay between spiritual devotion and organizational structure within these institutions.