bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing sobriety checkpoints to maximize public health benefits and minimize operational costs
Authors: Morrison Christopher N. , Gobaud Ariana N. , Mehranbod Christina A. , Bushover Brady R. , Branas Charles C. , Wiebe Douglas J. , Peek-Asa Corinne , Chen Qixuan , Ferris Jason 
Published: March 2023

Abstract
Background
Sobriety checkpoints are a highly effective strategy to reduce alcohol-impaired driving, but they are used infrequently in the USA. Recent evidence from observational studies suggests that using optimized sobriety checkpoints—operating for shorter duration with fewer officers—can minimize operational costs without reducing public health benefits. The aim of this research was to conduct a pilot study to test whether police can feasibly implement optimized sobriety checkpoints and whether researchers can examine optimized sobriety checkpoints compared to usual practice within a non-randomized controlled trial study design.

Methods
The study site was the Town of Apex, NC. We worked with Apex Police Department to develop a schedule of sobriety checkpoints during calendar year 2021 that comprised 2 control checkpoints (conducted according to routine practice) and 4 optimized checkpoints staffed by fewer officers. Our primary operations aim was to test whether police can feasibly implement optimized sobriety checkpoints. Our primary research aim was to identify barriers and facilitators for conducting an intervention study of optimized sobriety checkpoints compared to usual practice. A secondary aim was to assess motorist support for sobriety checkpoints and momentary stress while passing through checkpoints.

Results
Apex PD conducted 5 of the 6 checkpoints and reported similar operational capabilities and results during the optimized checkpoints compared to control checkpoints. For example, a mean of 4 drivers were investigated for possibly driving while impaired at the optimized checkpoints, compared to 2 drivers at control checkpoints. The field team conducted intercept surveys among 112 motorists at 4 of the 6 checkpoints in the trial schedule. The survey response rate was 11% from among 1,045 motorists who passed through these checkpoints. Over 90% of respondents supported sobriety checkpoints, and momentary stress during checkpoints was greater for motorists who reported consuming any alcohol in the last 90 days compared to nondrinkers (OR = 6.7, 95%CI: 1.6, 27.1).

Conclusions
Results of this study indicate the sobriety checkpoints can feasibly be optimized by municipal police departments, but it will be very difficult to assess the impacts of optimized checkpoints compared to usual practice using an experimental study design.
Multivariate analysis of PET pharmacokinetic parameters improves inferential efficiency
Authors: Matheson Granville J. , Ogden R. Todd 
Published: March 2023

AbstractPurposeIn positron emission tomography quantification, multiple pharmacokinetic parameters are typically estimated from each time activity curve. Conventionally all but the parameter of interest are discarded before performing subsequent statistical analysis. However, we assert that these discarded parameters also contain relevant information which can be exploited to improve the precision and power of statistical analyses on the parameter of interest. Properly taking this into account can thereby draw more informative conclusions without collecting more data.MethodsBy applying a hierarchical multifactor multivariate Bayesian approach, all estimated parameters from all regions can be analysed at once. We refer to this method as Parameters undergoing Multivariate Bayesian Analysis (PuMBA). We simulated patient–control studies with different radioligands, varying sample sizes and measurement error to explore its performance, comparing the precision, statistical power, false positive rate and bias of estimated group differences relative to univariate analysis methods.ResultsWe show that PuMBA improves the statistical power for all examined applications relative to univariate methods without increasing the false positive rate. PuMBA improves the precision of effect size estimation, and reduces the variation of these estimates between simulated samples. Furthermore, we show that PuMBA yields performance improvements even in the presence of substantial measurement error. Remarkably, owing to its ability to leverage information shared between pharmacokinetic parameters, PuMBA even shows greater power than conventional univariate analysis of the true binding values from which the parameters were simulated. Across all applications, PuMBA exhibited a small degree of bias in the estimated outcomes; however, this was small relative to the variation in estimated outcomes between simulated datasets.ConclusionPuMBA improves the precision and power of statistical analysis of PET data without requiring the collection of additional measurements. This makes it possible to study new research questions in both new and previously collected data. PuMBA therefore holds great promise for the field of PET imaging.
Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm
Authors: Rjoub Husam , Adebayo Tomiwa Sunday , Kirikkaleli Dervis 
Published: March 2023

AbstractThe study aims to investigate the financial technology (FinTech) factors influencing Chinese banking performance. Financial expectations and global realities may be changed by FinTech’s multidimensional scope, which is lacking in the traditional financial sector. The use of technology to automate financial services is becoming more important for economic organizations and industries because the digital age has seen a period of transition in terms of consumers and personalization. The future of FinTech will be shaped by technologies like the Internet of Things, blockchain, and artificial intelligence. The involvement of these platforms in financial services is a major concern for global business growth. FinTech is becoming more popular with customers because of such benefits. FinTech has driven a fundamental change within the financial services industry, placing the client at the center of everything. Protection has become a primary focus since data are a component of FinTech transactions. The task of consolidating research reports for consensus is very manual, as there is no standardized format. Although existing research has proposed certain methods, they have certain drawbacks in FinTech payment systems (including cryptocurrencies), credit markets (including peer-to-peer lending), and insurance systems. This paper implements blockchain-based financial technology for the banking sector to overcome these transition issues. In this study, we have proposed an adaptive neuro-fuzzy-based K-nearest neighbors’ algorithm. The chaotic improved foraging optimization algorithm is used to optimize the proposed method. The rolling window autoregressive lag modeling approach analyzes FinTech growth. The proposed algorithm is compared with existing approaches to demonstrate its efficiency. The findings showed that it achieved 91% accuracy, 90% privacy, 96% robustness, and 25% cyber-risk performance. Compared with traditional approaches, the recommended strategy will be more convenient, safe, and effective in the transition period.
The relationship between iron deficiency anemia with restless leg syndrome and sleep quality in workers working in a textile factory in Iran: a cross-sectional study
Authors: Ghahremanfard Farahnaz , Semnani Maryam Rezaei , Mirmohammadkhani Majid , Mansori Kamyar , Pahlevan Daryoush 
Published: March 2023

Abstract
Background
The aim of this study is to investigate the relationship between iron deficiency anemia with restless leg syndrome (RLS) and sleep quality in workers working in a textile factory in Iran. This cross-sectional study was conducted on 216 workers working in a textile factory in Iran. In addition to demographic and occupational variables, Pittsburgh Sleep Quality Index (PSQI) and RLS questionnaires were used for the data collection. To investigate iron deficiency anemia, 2 CC of blood was taken from the brachial artery with the help of a 10-CC syringe with a blue or pink tip. Then, relevant data were entered into SPSS26 and analyzed.

Results
The mean (S. D.) age of the workers was 32.23 (6.14) and 60.6% of them were women. The prevalence of iron deficiency anemia was 21.2 and 69.5% in men and women, respectively. Most of the workers were in moderate condition in terms of RLS severity, and 78.2% had sleep disorders. There was an inverse and significant correlation between age (β= −0.200), work experience (β= −0.160), hemoglobin (β= −0.149), and ferritin (β= −0.186) with global PSQI score (P value<0.05). Also, an inverse and significant correlation was observed between age (β= −0.164), hemoglobin (β= −0.548), and ferritin (β= −0.410) with RLS score (P value<0.05). However, there was a direct and significant correlation between TIBC level and RLS score (β= 0.227) and global PSQI score (β= 0.395) (P value<0.05).

Conclusions
Intervention programs to reduce iron deficiency anemia and periodic screening programs to identify sleep disorders and RLS in textile factory workers seem necessary.
The NAC transcription factor MdNAC4 positively regulates nitrogen deficiency-induced leaf senescence by enhancing ABA biosynthesis in apple
Authors: Wen Binbin , Zhao Xuehui , Gong Xingyao , Zhao Wenzhe , Sun Mingyue , Chen Xiude , Li Dongmei , Li Ling , Xiao Wei 
Published: March 2023

AbstractAlthough it is well established that nitrogen (N) deficiency induces leaf senescence, the molecular mechanism of N deficiency-induced leaf senescence remains largely unknown. Here, we show that an abscisic acid (ABA)-responsive NAC transcription factor (TF) is involved in N deficiency-induced leaf senescence. The overexpression of MdNAC4 led to increased ABA levels in apple calli by directly activating the transcription of the ABA biosynthesis gene MdNCED2. In addition, MdNAC4 overexpression promoted N deficiency-induced leaf senescence. Further investigation showed that MdNAC4 directly bound the promoter of the senescence-associated gene (SAG) MdSAG39 and upregulated its expression. Interestingly, the function of MdNAC4 in promoting N deficiency-induced leaf senescence was enhanced in the presence of ABA. Furthermore, we identified an interaction between the ABA receptor protein MdPYL4 and the MdNAC4 protein. Moreover, MdPYL4 showed a function similar to that of MdNAC4 in ABA-mediated N deficiency-induced leaf senescence. These findings suggest that ABA plays a central role in N deficiency-induced leaf senescence and that MdPYL4 interacts with MdNAC4 to enhance the response of the latter to N deficiency, thus promoting N deficiency-induced leaf senescence. In conclusion, our results provide new insight into how MdNAC4 regulates N deficiency-induced leaf senescence.
Graphical Abstract
Thinking process templates for constructing data stories with SCDNEY
Authors: Cao Yue , Tran Andy , Kim Hani , Robertson Nick , Lin Yingxin , Torkel Marni , Yang Pengyi , Patrick Ellis , Ghazanfar Shila , Yang Jean 
Published: March 2023

Background: Globally, scientists now have the ability to generate a vast amount of high throughput biomedical data that carry critical information for important clinical and public health applications. This data revolution in biology is now creating a plethora of new single-cell datasets. Concurrently, there have been significant methodological advances in single-cell research. Integrating these two resources, creating tailor-made, efficient, and purpose-specific data analysis approaches can assist in accelerating scientific discovery. Methods: We developed a series of living workshops for building data stories, using Single-cell data integrative analysis (scdney). scdney is a wrapper package with a collection of single-cell analysis R packages incorporating data integration, cell type annotation, higher order testing and more. Results: Here, we illustrate two specific workshops. The first workshop examines how to characterise the identity and/or state of cells and the relationship between them, known as phenotyping. The second workshop focuses on extracting higher-order features from cells to predict disease progression. Conclusions: Through these workshops, we not only showcase current solutions, but also highlight critical thinking points. In particular, we highlight the Thinking Process Template that provides a structured framework for the decision-making process behind such single-cell analyses. Furthermore, our workshop will incorporate dynamic contributions from the community in a collaborative learning approach, thus the term ‘living’.
Does the impact of medical publications vary by disease indication and publication type? An exploration using a novel, value-based, publication metric framework: the EMPIRE Index
Authors: Rees Tomas , Pal Avishek 
Published: March 2023

Background: The EMPIRE (EMpirical Publication Impact and Reach Evaluation) Index is a value-based, multi-component metric framework to assess the impact of medical publications in terms of relevance to different stakeholders. It comprises three component scores (social, scholarly and societal impact), each incorporating related altmetrics that indicate a different aspect of engagement with the publication. Here, we present an exploratory investigation of whether publication types or disease indications influence EMPIRE Index scores. Methods: Article-level metrics were extracted and EMPIRE Index scores were calculated for 5825 journal articles published from 1 May 2017 to 1 May 2018, representing 12 disease indications (chosen to reflect a wide variety of common and rare diseases with a variety of aetiologies) and five publication types. Results: There were significant differences in scores between article types and disease indications. Median (95% CI) social and scholarly impact scores ranged from 1.2 (0.3–1.6) to 4.8 (3.1–6.6), respectively, for phase 3 clinical trials, and from 0.3 (0.3–0.4) to 2.3 (1.9–2.6), respectively, for observational studies. Social and scholarly impact scores were highest for multiple sclerosis publications and lowest for non-small cell lung cancer publications. Systematic reviews achieved greater impact than regular reviews. Median trends in the social impact of different disease areas matched the level of public interest as assessed through Google search interest. Although most articles did not register societal impact, mean societal impact scores were highest for migraine publications. Conclusions: The EMPIRE Index successfully identified differences in impact by disease area and publication type, which supports the notion that the impact of each publication needs to be evaluated in the context of these factors, and potentially others. These findings should be considered when using the EMPIRE Index to assess publication impact.
The effects of educational intervention on perceived barriers toward medical student research involvement: A pilot study
Authors: Eichman Elizabeth , Sellers Jake , Cobbs Lauren 
Published: March 2023

Background: Competency in research as a medical student is a core skill set in training to be a physician and also supports effective continuing education as a physician. Although it is highlighted as an expected competency for educating medical students, there are no specific requirements on the type or depth of educational content that should be offered in the area of research skills for medical students. This observation led us to explore the potential benefits of informative lectures on research fundamentals and their impact on medical students’ perceptions on conducting research in school. Methods: In this study, students were surveyed before (n=71) and after (n=33) formal lectures on research principles to exam changes in perceived barriers to participating in research related activities. Barriers were categorized into three categories: Personal; Competency; and Value. Results: The results of this study demonstrated significantly decreased perception of several barriers within the personal and competency categories after the lecture series on research principles was completed. Although statistically insignificant, a separate and possibly interesting observation is that respondents appeared to have a decreased interest in research and decreased perception that participating in research would add value to their profile as a residency applicant or impact their care of patients as a future physician. Conclusions: Our pilot study suggests that offering formal lectures on research principles may lead to decreased perceived barriers of medical students in becoming involved in research related activities during medical school.
Nursing and caring problems of a patient with gastric cancer - a case study
Authors: Majchrowicz Bożena 
Published: March 2023

Gastric cancer is a malignant tumor that originates from the cells of the inner layer of the organ. It is characterized by a long asymptomatic period. The incidence of gastric cancer increases after the age of 50, especially in the male population. The aim of the study was to analyze selected aspects of nursing care provided to a patient after total gastrectomy in the course of gastric cancer. Materials and methods. The study used the case study method and an individual case study of a patient diagnosed with gastric cancer. Results and conclusions. The patient has problems in the biopsychosocial sphere. The role of a nurse in caring for a sick person is comprehensive care, education and preparation for self-care, and above all mental support. Constant monitoring of the patient's health greatly helps to prevent possible complications.
A systematic scoping review of undergraduate nursing hub-and-spoke placement models
Authors: Cleaver Karen , Don Caroline , Chojnacka Irena , Essex Ryan , Weldon Sharon , Markowski Marianne 
Published: March 2023

Background:While nursing education has been forecast to continue to grow, placement capacity is now the key factor precluding growth in supply.Aims:To provide a comprehensive understanding of hub-and-spoke placements and their ability to increase placement capacity.Method:A systematic scoping review and narrative synthesis were used ( Arksey and O'Malley, 2005 ). PRISMA checklist and ENTREQ reporting guidelines were followed.Findings:The search returned 418 results. After a first and second screen 11 papers were included. Results suggest that hub-and-spoke models were generally evaluated favourably by nursing students, with a range of benefits reported. However, many of the studies included in the review were small and of low quality.Conclusion:Given the exponential increase in applications to study nursing, hub-and-spoke placements appear to have the potential to better meet these increased demands, while also providing a number of benefits.
RESTARTING ELECTIVE ORTHOPAEDIC SERVICES ACROSS SCOTLAND DURING A YEAR OF COVID-19
Authors: Harding T. , Dunn J. , Haddon A. , Fraser E. , Sinnerton R. , Davies P. , Clift B. 
Published: March 2023

COVID 19 led to massive disruption of elective services across Scotland. This study was designed to assess the impact on elective service that the COVID-19 pandemic had, to what extent services have been restarted and the associated risks are in doing so.This is a retrospective observational study. The primary outcomes are the number of operations completed, 30-day mortality, 30-day complication rates and nosocomial infection with COVID-19 compared to previous years. Data was collected from 4 regions across Scotland from 27th March 2020 - 26th March 2021. This was compared to the same time period the previous year.3431 elective operations were completed in the year post-pandemic compared with 12255, demonstrating a reduction of 72%. Both groups had comparable demographics. Major joint arthroplasty saw a 72% reduction, with TKR seeing a reduction of 82%. Each of the 4 health boards were affected in a similar fashion. Nosocomial COVID-19 infection was 0.4% in the post covid group. 30 day mortality was the same at 0.1%. Total complications rose from 5.7% to 10.1% post covid.This study shows that there has been a substantial reduction in elective activity across Scotland that is disproportionate to the level of COVID-19. The risk of developing COVID-19 from elective surgery is low at 0.4%, however all complications saw a significant rise. This is likely multifactorial. This study will inform decision makers in future pandemics, that it is safe to continue elective orthopaedic surgery and of the potential impact of cessation of services.
Pandemic: One Small Step for Oblivion and a Big Leap into Managed Democracy
Authors: Escobar-Vicent Alejandro 
Published: March 2023

The pandemic that we are still surviving represents a step forward in the process of the ethical disintegration of the State. It is a process that has been going on for a long time, but has, over the last few decades, been increasing, to the point of making even more evident that we live under a regime that we call here one of managed democracy. The legal-political decisions taken during this pandemic have catalysed this process. On the part of the frightened and perplexed citizens, the recurrent oblivion acts, throughout history, as a contributory factor in this process of severe democratic involution.