bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge of stop the bleed techniques- a national survey
Authors: Sheth Siddharth , Mangal Rohan K. , Stead Thor S. , Ganti Latha 
Published: October 2023

Abstract
Objective
This article presents the dataset titled “Do you know how to Stop The Bleed®? [1]” The dataset contains the survey responses of 200 US persons aged 16 years and above regarding their knowledge of hemorrhage control, based on the American College of Surgeons Stop The Bleed® (STB) course [2].

Results
Two hundred adults in the United States completed this web-based survey, which consisted of a quiz to assess STB knowledge. Factors that were not statistically correlated to STB knowledge retention included age, sex, race and education level up to college level. On the other hand, resuscitation coursework (p = 0.004) and income (p = 0.049) were important determinants of Stop the Bleed® knowledge. In particular, participants with CPR certification (p = 0.020) and/or a postgraduate degree (p = 0.015) scored higher than their counterparts in this sample cohort.
Spontaneous rectosigmoid perforation at the watershed area of the Sudeck point in an apparently healthy toddler boy: a case report
Authors: Solomon Netsanet , Habte Tilahun , Alemu Seifu , Sori Ayana 
Published: October 2023

Abstract
Background
Spontaneous colon perforation can be classified into stercoral and idiopathic. Stercoral type is associated with chronic constipation, thus it is rare in infants and children. The idiopathic type is sporadic and could occur at any age. Delay in diagnosing or treating idiopathic colon perforation is associated with high mortality and morbidity rates. There are few studies on rectal perforation related to other etiologies or past the neonatal period, and their effect on disease onset and prognosis are unknown.

Case presentation
We report on a case of 2-year-and-5-month-old Oromo boy who presented with fever, diarrhea, vomiting, and progressive abdominal pain of 5-day duration. The boy underwent an exploratory laparotomy for suspected peritonitis and there was a single perforation of approximately 2.0 cm size in the anterior part of the upper one-third of rectum. The perforated rectum was repaired primarily and sigmoid divided diversion colostomy was carried out.

Conclusion
It is important to be aware of idiopathic colon perforation in children, a rare but dangerous condition with high mortality and morbidity in cases of delayed diagnosis or management. Pediatricians and surgeons should consider colon perforation as a cause in children who present with abdominal distention and a history of diarrhea for more than 5 days.
Algorithms for coupled Burgers’ equations by sharing characteristic curves within BSLM
Authors: Bak Soyoon , Jeon Yonghyeon 
Published: October 2023

AbstractThis paper introduces a new perspective of the traditional view on the velocity of each physical particle in the coupled Burgers’ equation in the backward semi-Lagrangian method (BSLM). The proposed methods reduce the number of Cauchy problems to be solved by observing a single virtual characteristic curve with a velocity. This can drastically reduce the computational cost of determining the departure point. Then, we solve the derived system reflected by the single virtual characteristic curve. Moreover, an efficient strategy for the derived linear system of equations is provided. Four examples are tested to demonstrate the adaptability and efficiency of the proposed method. The test results show that the proposed method has third- and fourth-order accuracy in time and space, respectively. In addition, compared with the existing method of solving the problem along two particles with different velocities, we confirm that the proposed method significantly reduces computational cost while maintaining accuracy well.
Making programmable packet scheduling time-sensitive with a FIFO queue
Authors: Lv Qianru , Jiang Xuyan , Yang Xiangrui 
Published: October 2023

AbstractTime-Sensitive Networking (TSN) is an emerging technology for real-time and non-real-time hybrid networked systems. TSN is standardized by IEEE 802.1 TSN Task Group and is becoming widely used in various scenarios including the cloud network. However, existing programmable packet schedulers such as PIFO, PIEO, and AIFO in programmable switches either lack the ability to express most scheduling algorithms in TSN or introduce intolerable on-chip memory overhead (e.g., strict-priority queues). This makes programmable switches and NICs incapable of providing deterministic forwarding. In this paper, we present AIAO (Admission-In-Admission-Out), a new set of programmable scheduling primitives using just a single FIFO to support typical TSN scheduling algorithms, as well as other popular work-conserving algorithms. AIAO is inspired by AIFO but improves it with a group of high-speed packet ingress/egress admission control triggered by high-precise and globally synchronized time, thus being able to support time-sensitive scheduling. We implement AIAO and evaluate it with FPGA-based TSN switches. The preliminary results show that AIAO guarantees correctness for a typical TSN scheduling algorithm with minimal logic and memory overhead.
The prevention and treatment of COVID-19 in patients treated with hemodialysis
Authors: Zeng Binyu , Zhou Jia , Peng Daizhuang , Dong Chengmei , Qin Qun 
Published: October 2023

AbstractPatients treated with hemodialysis are often immunocompromised due to concomitant disease. As a result, this population is at high risk of infection and mortality from COVID-19. In addition to symptomatic treatment, a series of antiviral drugs targeting COVID-19 are now emerging. However, these antivirals are used mainly in mild or moderate patients with high-risk factors for progression to severe disease and are not available as pre- or post-exposure prophylaxis for COVID-19. There is a lack of clinical data on the use of anti-COVID-19 drugs, especially in patients treated with hemodialysis, therefore, vaccination remains the main measure to prevent SARS-CoV-2 infection in these patients. Here, we review the clinical features and prognosis of patients on hemodialysis infected with SARS-CoV-2, the main anti-COVID-19 drugs currently available for clinical use, and the safety and efficacy of anti-COVID-19 drugs or COVID-19 vaccination in patients treated with hemodialysis. This information will provide a reference for the treatment and vaccination of COVID-19 in patients treated with hemodialysis and maximize the health benefits of these patients during the outbreak.
When it’s not safe to be me: employee authenticity mediates the effect of perceived manager psychopathy on employee well-being
Authors: Sutton Anna , Stapleton Madeleine 
Published: October 2023

AbstractBackgroundPsychopathy in managers is often measured on global scales and associated with detrimental outcomes for subordinates, such as bullying and reduced well-being. Yet some features of psychopathy, like boldness, appear to have beneficial outcomes. Using the triarchic model of psychopathy, we differentiate between adaptive and maladaptive traits in managers and model their effects on employee engagement and burnout. In addition, we test the extent to which authenticity, known to ameliorate the effect of some negative experiences on well-being, might mediate the influence of managers’ perceived psychopathic traits on employee well-being.MethodsIn a two-wave study, full-time employees (N = 246) reported on their manager’s psychopathic traits (boldness, meanness, disinhibition), their own authenticity and, six weeks later, their engagement and burnout.ResultsIn support of our hypotheses, manager boldness enhanced engagement and reduced burnout while meanness and disinhibition reduced engagement and increased burnout. Additionally, employee authenticity was a partial mediator of the effect of managerial psychopathy on engagement and burnout.ConclusionsPerceived psychopathic traits in managers have the potential to influence whether employees feel able to be their authentic selves at work, which consequently affects their well-being. A work culture that values authenticity can directly improve well-being and help employees to deal with managerial behaviour that stems from maladaptive psychopathic traits. We also highlight the importance of discriminating between constituent psychopathic traits to identify the potentially adaptive nature of the boldness element of psychopathy.
Explainable machine learning models for Medicare fraud detection
Authors: Hancock John T. , Bauder Richard A. , Wang Huanjing , Khoshgoftaar Taghi M. 
Published: October 2023

AbstractAs a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied to publicly available insurance claims data from the United States public health insurance program, Medicare. We approach Medicare insurance fraud detection as a supervised machine learning task of anomaly detection through the classification of highly imbalanced Big Data. Our objectives for feature selection are to increase efficiency in model training, and to develop more explainable machine learning models for fraud detection. Using two Big Data datasets derived from two different sources of insurance claims data, we demonstrate how our feature selection technique reduces the dimensionality of the datasets by approximately 87.5% without compromising performance. Moreover, the reduction in dimensionality results in machine learning models that are easier to explain, and less prone to overfitting. Therefore, our primary contribution of the exposition of our novel feature selection technique leads to a further contribution to the application domain of automated Medicare insurance fraud detection. We utilize our feature selection technique to provide an explanation of our fraud detection models in terms of the definitions of the selected features. The ensemble supervised feature selection technique we present is flexible in that any collection of machine learning algorithms that maintain a list of feature importance values may be used. Therefore, researchers may easily employ variations of the technique we present.
Gender differences in high school students’ interest in STEM careers: a multi-group comparison based on structural equation model
Authors: Wang Ning , Tan Aik-Ling , Zhou Xiaohong , Liu Ke , Zeng Feng , Xiang Jiong 
Published: October 2023

Abstract
Background
Females are underrepresented in Science, Technology, Engineering, and Mathematics (STEM) fields all over the world. To encourage more girls to choose STEM majors and careers, it is critical to increase their interest in STEM careers. Many studies have investigated the factors that influence females' entry into STEM fields, but few studies have explored the gender differences in the relationships between these factors. Therefore, based on the Social Cognitive Career Theory, this study explored the gender differences in the effects of environmental factors (school education, informal education, social support, and media) on high school students' interest in STEM careers through the mediating roles of STEM self-efficacy and STEM careers perceptions.

Results
A questionnaire survey was conducted among 1240 high school students in Hunan Province, China, and the results of t-test, regression analysis, and structural equation model multi-group comparison showed that: Firstly, the scores of male students in all the dimensions except for STEM career perception were significantly higher than those of female students. Secondly, the environmental factor that had the greatest effect on male and female students' interest in STEM careers was different. Finally, there were gender differences in the mediating roles of STEM self-efficacy and STEM careers perceptions between environmental factors and interest in STEM careers.

Conclusions
This study revealed the influence mechanisms and gender differences in male and female students' interest in STEM careers in the context of Chinese Confucian culture, and the conclusions are as follows: (1) Male students' interest in STEM careers was significantly higher than that of female students; (2) The environmental factors that had the greatest effect on male and female students' interest in STEM careers were social support and media, respectively; and (3) Environmental factors could affect male students' interest in STEM careers through the mediating roles of STEM self-efficacy and STEM career perception, while environmental factors could affect female students' interest in STEM careers through the mediating role of STEM self-efficacy. Finally, the mediating mechanisms of STEM self-efficacy and STEM career perception between environmental factors and interest in STEM careers, and the importance of STEM self-efficacy for female students were discussed.
Coastal tsunami prediction in Tohoku region, Japan, based on S-net observations using artificial neural network
Authors: Wang Yuchen , Imai Kentaro , Miyashita Takuya , Ariyoshi Keisuke , Takahashi Narumi , Satake Kenji 
Published: October 2023

AbstractWe present a novel method for coastal tsunami prediction utilizing a denoising autoencoder (DAE) model, one of the deep learning algorithms. Our study focuses on the Tohoku coast, Japan, where dense offshore bottom pressure gauges (OBPGs), called S-net, are installed. To train the model, we generated 800 hypothetical tsunami scenarios by employing stochastic earthquake models (M7.0–8.8). We used synthetic tsunami waveforms at 44 OBPGs as input and the waveforms at four coastal tide gauges as output. Subsequently, we evaluated the model’s performance using 200 additional hypothetical and two real tsunami events: the 2016 Fukushima earthquake and 2022 Tonga volcanic tsunamis. Our DAE model demonstrated high accuracy in predicting coastal tsunami waveforms for hypothetical events, achieving an impressive quality index of approximately 90%. Furthermore, it accurately forecasted the maximum amplitude of the 2016 Fukushima tsunami, achieving a quality index of 91.4% at 15 min after the earthquake. However, the prediction of coastal waveforms for the 2022 Tonga volcanic tsunami was not satisfactory. We also assessed the impact of the forecast time window and found that it had limited effects on forecast accuracy. This suggests that our method is suitable for providing rapid forecasts soon after an earthquake occurs. Our research is the first application of an artificial neural network to tsunami prediction using real observations. In the future, we will use more tsunami scenarios for model training to enhance its robustness for different types of tsunamis.
Graphical Abstract
Development and usability testing of an electronic patient-reported outcome (ePRO) solution for patients with inflammatory diseases in an Advanced Therapy Medicinal Product (ATMP) basket trial
Authors: McMullan Christel , Retzer Ameeta , Hughes Sarah E. , Aiyegbusi Olalekan Lee , Bathurst Camilla , Boyd Alan , Coleman Jamie , Davies Elin Haf , Denniston Alastair K. , Dunster Helen , Frost Chris , Harding Rosie , Hunn Amanda , Kyte Derek , Malpass Rebecca , McNamara Gary , Mitchell Sandra , Mittal Saloni , Newsome Philip N. , Price Gary , Rowe Anna , van Reil Wilma , Walker Anita , Wilson Roger , Calvert Melanie 
Published: October 2023

Abstract
Background
Electronic patient-reported outcome (ePRO) systems are increasingly used in clinical trials to provide evidence of efficacy and tolerability of treatment from the patient perspective. The aim of this study is twofold: (1) to describe how we developed an electronic platform for patients to report their symptoms, and (2) to develop and undertake usability testing of an ePRO solution for use in a study of cell therapy seeking to provide early evidence of efficacy and tolerability of treatment and test the feasibility of the system for use in later phase studies.

Methods
An ePRO system was designed to be used in a single arm, multi-centre, phase II basket trial investigating the safety and activity of the use of ORBCEL-C™ in the treatment of patients with inflammatory conditions. ORBCEL-C™ is an enriched Mesenchymal Stromal Cells product isolated from human umbilical cord tissue using CD362+ cell selection. Usability testing sessions were conducted using cognitive interviews and the ‘Think Aloud’ method with patient advisory group members and Research Nurses to assess the usability of the system.

Results
Nine patient partners and seven research nurses took part in one usability testing session. Measures of fatigue and health-related quality of life, the PRO-CTCAE™ and FACT-GP5 global tolerability question were included in the ePRO system. Alert notifications to the clinical team were triggered by PRO-CTCAE™ and FACT-GP5 scores. Patient participants liked the simplicity and responsiveness of the patient-facing app. Two patients were unable to complete the testing session, due to technical issues. Research Nurses suggested minor modifications to improve functionality and the layout of the clinician dashboard and the training materials.

Conclusion
By testing the effectiveness, efficiency, and satisfaction of our novel ePRO system (PROmicsR), we learnt that most people with an inflammatory condition found it easy to report their symptoms using an app on their own device. Their experiences using the PROmicsR ePRO system within a trial environment will be further explored in our upcoming feasibility testing. Research nurses were also positive and found the clinical dashboard easy-to-use. Using ePROs in early phase trials is important in order to provide evidence of therapeutic responses and tolerability, increase the evidence based, and inform methodology development.
Trial registration: ISRCTN, ISRCTN80103507. Registered 01 April 2022, https://www.isrctn.com/ISRCTN80103507
Transient replica symmetry breaking in Brillouin random fiber lasers
Authors: Zhang Liang , Zhang Jilin , Pang Fufei , Wang Tingyun , Chen Liang , Bao Xiaoyi 
Published: October 2023

AbstractReplica symmetry breaking (RSB), as a featured phase transition between paramagnetic and spin glass state in magnetic systems, has been predicted and validated among random laser-based complex systems, which involves numerous random modes interplayed via gain competition and exhibits disorder-induced frustration for glass behavior. However, the dynamics of RSB phase transition involving micro-state evolution of a photonic complex system have never been well investigated. Here, we report experimental evidence of transient RSB in a Brillouin random fiber laser (BRFL)-based photonic system through high-resolution unveiling of random laser mode landscape based on heterodyne technique. Thanks to the prolonged lifetime of activated random modes in BRFLs, an elaborated mapping of time-dependent statistics of the Parisi overlap parameter in both time and frequency domains was timely resolved, attributing to a compelling analogy between the transient RSB dynamics and the random mode evolution. These findings highlight that BRFL-based systems with the flexible harness of a customized photonic complex platform allow a superb opportunity for time-resolved transient RSB observation, opening new avenues in exploring fundamentals and application of complex systems and nonlinear phenomena.
Protocol for a systematic review and meta-analysis of coordinate-based network mapping of brain structure in bipolar disorder across the lifespan
Authors: Jones Brett D. M. , Zhukovsky Peter , Hawco Colin , Ortiz Abigail , Cipriani Andrea , Voineskos Aristotle N. , Mulsant Benoit H. , Husain Muhammad Ishrat 
Published: October 2023

Background
Studies about brain structure in bipolar disorder have reported conflicting findings. These findings may be explained by the high degree of heterogeneity within bipolar disorder, especially if structural differences are mapped to single brain regions rather than networks.

Aims
We aim to complete a systematic review and meta-analysis to identify brain networks underlying structural abnormalities observed on T1-weighted magnetic resonance imaging scans in bipolar disorder across the lifespan. We also aim to explore how these brain networks are affected by sociodemographic and clinical heterogeneity in bipolar disorder.

Method
We will include case–control studies that focus on whole-brain analyses of structural differences between participants of any age with a standardised diagnosis of bipolar disorder and controls. The electronic databases Medline, PsycINFO and Web of Science will be searched. We will complete an activation likelihood estimation analysis and a novel coordinate-based network mapping approach to identify specific brain regions and brain circuits affected in bipolar disorder or relevant subgroups. Meta-regressions will examine the effect of sociodemographic and clinical variables on identified brain circuits.

Conclusions
Findings from this systematic review and meta-analysis will enhance understanding of the pathophysiology of bipolar disorder. The results will identify brain circuitry implicated in bipolar disorder, and how they may relate to relevant sociodemographic and clinical variables across the lifespan.
QUALIDADE E UTILIDADE DAS AUDITORIAS OPERACIONAIS NA GESTÃO PÚBLICA
Authors: Melo Henrique de Campos , Lerípio Alexandre de Ávila , Santos Ruan Carlos dos , Rocha Arlindo Carvalho 
Published: October 2023

Os tribunais de contas (TCs) receberam da Constituição Federal de 1988 (CF/88) um aparato legal e instrumental que lhes possibilitou as condições necessárias para o exercício e a promoção da accountability, principalmente no caso da competência para realizarem auditorias operacionais (AOps). Todavia, quando são realizadas, essas auditorias produzem resultados satisfatórios? E, mais que isso, são esses resultados relevantes para a sociedade? Ou seja, ao realizarem suas AOps, os TCs estão efetivamente cumprindo o seu propósito e dando conta de sua responsabilidade institucional e social? Para responder a tais questões e buscar dar uma contribuição para o avanço do debate sobre esse tema, estabeleceu-se, como objetivo deste ensaio, propor um modelo para análise das AOps. O modelo se assenta em duas dimensões: uma operacional, que se vincula à qualidade da auditoria propriamente dita; e outra social, que se vincula à utilidade de seus resultados para a sociedade. É um trabalho descritivo-avaliativo, com abordagem qualitativa, realizado por intermédio de pesquisa bibliográfica e levantamento documental. O modelo proposto permite analisar se os TCs estão dando cumprimento a seu propósito institucional e à sua responsabilidade junto à sociedade.