bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-world study of intranasal ketamine for use in patients with refractory chronic migraine
Authors: Yuan Hsiangkuo , Natekar Aniket , Park Jade S. , Lauritsen Clinton , Viscusi Eugene R. , Marmura Michael J. 
Published: November 2022

ABSTRACTSubanesthetic ketamine infusion has been used for managing refractory headache in inpatient or outpatient infusion settings. Intranasal (IN) ketamine may be an alternative option for outpatient care.We performed a retrospective study at a single tertiary headache center to assess the clinical effectiveness and tolerability of IN ketamine in patients with refractory chronic migraine (rCM). Candidates who received IN ketamine between January 2019 and February 2020 were screened through an electronic medical record query. Manual chart reviews and structured phone interviews were conducted upon obtaining informed consent.Among 242 subjects screened, 169 (age 44.3±13.8; female 79.9%) were interviewed. They reported 25.0±8.7 monthly headache days and tried 6.9±3.1 preventive medications. Overall, they used roughly 7.8±7.0 sprays (ie., 78 mg) per day and 11.6±8.9 days per month. Intranasal ketamine was reported as “very effective” in 49.1% and quality of life (QOL) was considered “much better” in 35.5%. However, 74.0% reported at least one adverse event (AE).In this retrospective study, IN ketamine can serve as an acute treatment for rCM by reducing headache intensity and improving QOL with relatively tolerable AEs. Most patients found IN ketamine effective and continued to use it despite these AEs. The study is limited by its single-center design and selection/recall biases. Well-designed prospective placebo-controlled trials are necessary to demonstrate the efficacy and safety of IN ketamine in patients with migraine.What is already known on this topic –Intravenous ketamine, although has been used for chronic pain and refractory headache, is limited to infusion settings. Intranasal ketamine, a more convenient alternative, has not been well-studied for refractory headache.What this study adds –This real-world study describes the usage pattern, effectiveness, and adverse event profiles of intranasal ketamine in patients with refractory chronic migraine.How this study might affect research, practice or policy –Intranasal ketamine is probably effective with minimal adverse events for refractory chronic migraine, but more well-designed studies are needed.
Real-time air pollution and bipolar disorder symptoms: a remote monitored cross-sectional study
Authors: Kandola Aaron , Hayes Joseph F 
Published: November 2022

SummaryAir pollution is associated with unipolar depression and other mental health outcomes. We assessed the real-time association between localised mean air quality index and the severity of depression and mania symptoms in people with bipolar disorder. We found that as air quality worsened, symptoms of depression increased. We found no association between air quality and mania symptoms.
Associations between parental attitudes towards mental illness and self-reported mental health among young people: Evidence from the Health Survey for England
Authors: Gagné Thierry , Henderson Claire , McMunn Anne 
Published: November 2022

ABSTRACTBackgroundThe prevalence of mental health problems among young adults has rapidly increased over the past decade. The argument that reductions in stigma lead to less under-reporting over time is often presented as a potential explanation. As a first step towards understanding how stigma influence self-reporting in this age group, we examine the extent to which parents’ attitudes are related to young people’s self-reported mental health.MethodsWe leveraged the household design of the 2014 Health Survey for England to test whether mothers’ (complete-casen= 630) and fathers’ (n= 428) prejudice and tolerance towards people with mental illness is associated with the self-reporting of any specific mental disorder and non-specific psychological distress (GHQ-12) in participants aged 13-24. Associations were tested in random-intercept Poisson models (nesting participants in households) adjusting for parents’ sociodemographics and mental health, and participants’ own sociodemographics.ResultsMothers were on average less prejudiced (81.2 versus 74.1 out of 100) but as tolerant (72.0 versus 70.0 out of 100) as fathers. In fully-adjusted models: 1) those with a less prejudiced (PR for a one-unit increase = 1.036, 95%CI 1.007-1.066) and more tolerant (PR = 1.038, 95%CI 1.011-1.066) mother had a higher probability of reporting a mental disorder; 2) those with a less prejudiced (PR = 1.034, 95%CI 1.006-1.062) father had a higher probability of reporting a mental disorder; 3) those with a more tolerant father also had a higher probability of reporting a high level of psychological distress (PR = 1.024, 95%CI 1.008-1.041).ConclusionParents’ attitudes were associated with their children’s mental health, more so with specific mental disorders compared with non-specific psychological distress. New data collection efforts are needed to understand changes in parental attitudes over time and its relationship with self-reporting among young people.
Multi-omics analysis of renal clear cell carcinoma progression
Authors: Guruacharya Anuj , Golden James R , Garrett Daniel , Atnoor Deven , Srinivasan Sujaya , Ratan Ujjwal , Pickard KT 
Published: November 2022

AbstractRenal clear cell carcinoma (RCC), the most common type of kidney cancer, lacks a well-defined collection of biomarkers for tracking disease progression. Although complementary diagnostic and prognostic RCC biomarkers may be beneficial for guiding therapeutic selection and informing clinical outcomes, patients currently have a poor prognosis due to limited early detection. Withouta prioribiomarker knowledge or histopathology information, we used machine learning (ML) techniques to investigate how mRNA, microRNA, and protein expression levels change as a patient progresses to different stages of RCC. The novel combination of big data with ML enables researchers to generate hypothesis-free models in a fraction of the time used in traditional clinical trials. Ranked genes that are most predictive of survival and disease progression can be used for target discovery and downstream analysis in precision medicine. We extracted clinical information for normal and RCC patients along with their related expression profiles in RCC tissues from three publicly-available datasets: 1. The Cancer Genome Atlas (TCGA), 2. Genotype-Tissue Expression (GTEx) project, 3. Clinical Proteomic Tumor Analysis Consortium (CPTAC). Our study found that among others, gene expression levels (mRNA) fromGNG7andBCRare potential predictors for RCC progression. For microRNA, we found hsa-mir-199a-2 and hsa-mir-129-1 to be potential predictors of RCC progression. Understanding how genes and protein expression levels change as RCC progresses will further guide the development of prognostic biomarkers and targets for RCC therapies.
Aberrant visual salience in participants with schizophrenia during free-viewing of natural images
Authors: Yoshida Masatoshi , Miura Kenichiro , Fujimoto Michiko , Yamamori Hidenaga , Yasuda Yuka , Iwase Masao , Hashimoto Ryota 
Published: November 2022

AbstractAbnormalities in visual exploration affect the daily lives of patients with schizophrenia; however, its origin is unknown. In this study, we examined whether such abnormalities reflect aberrant processing of visual salience. Eye movements of 82 patients and 252 healthy individuals viewing natural and/or complex images were examined using saliency maps for static images to determine the contributions of low-level visual features to salience-guided eye movements. The results showed that the gazes of the participants with schizophrenia were attracted to position in the images with high orientation salience but not luminance or color salience. Further analyses revealed that orientation salience defined by the L+M channel of the DKL color space is specifically affected in schizophrenia, suggesting abnormalities in the magnocellular visual pathway. These results suggest aberrant processing of visual salience in schizophrenia, thereby connecting the dots between abnormalities in early visual processing and the aberrant salience hypothesis of psychosis.
Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning
Authors: Fouladvand Sajjad , Gomez Federico Reyes , Nilforoshan Hamed , Schwede Matthew , Noshad Morteza , Jee Olivia , You Jiaxuan , Sosic Rok , Leskovec Jure , Chen Jonathan 
Published: November 2022

AbstractObjectiveTo determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional medical recommendation algorithms in the literature.MethodsDemand for medical expertise far outstrips supply, with tens of millions in the US alone with deficient access to specialty care. Rather than potentially months long delays to initiate diagnostic workup and medical treatment with a specialist, referring primary care supported by an automated recommender algorithm could anticipate and directly initiate patient evaluation that would otherwise be needed at subsequent a specialist appointment. We propose a novel graph representation learning approach with a heterogeneous graph neural network to model structured electronic health records and formulate recommendation/prediction of subsequent specialist orders as a link prediction problem.ResultsModels are trained and assessed in two specialty care sites: endocrinology and hematology. Our experimental results show that our model achieves an 8% improvement in ROC-AUC for endocrinology (ROC-AUC=0.88) and 5% improvement for hematology (ROC-AUC=0.84) personalized procedure recommendations over prior medical recommender systems. These recommender algorithm approaches provide medical procedure recommendations for endocrinology referrals more effectively than manual clinical checklists (recommender: precision=0.60, recall=0.27, F1-score=0.37) vs. (checklist: precision=0.16, recall=0.28, F1-score=0.20), and similarly for hematology referrals (recommender: precision=0.44, recall=0.38, F1-score=0.41) vs. (checklist: precision=0.27, recall=0.71, F1-score=0.39).ConclusionEmbedding graph neural network models into clinical care can improve digital specialty consultation systems and expand the access to medical experience of prior similar cases.
The impact of COVID-19 and socioeconomic status on psychological distress in cancer patients
Authors: Zeilinger Elisabeth L. , Knefel Matthias , Schneckenreiter Carmen , Pietschnig Jakob , Lubowitzki Simone , Unseld Matthias , Füreder Thorsten , Bartsch Rupert , Masel Eva K. , Adamidis Feroniki , Kum Lea , Kiesewetter Barbara , Zöchbauer-Müller Sabine , Raderer Markus , Krauth Maria T. , Staber Philipp B , Valent Peter , Gaiger Alexander 
Published: November 2022

AbstractBackgroundThe COVID-19 pandemic has affected psychological wellbeing in many aspects, but its influence on cancer patients it not yet clear, and studies show mixed results.AimsWe aimed to investigate the impact of the pandemic on psychological symptom burden against the socio-economic background of cancer patients using data from routine assessments before and during the pandemic.MethodsStandardised assessment instruments were applied inN= 1,329 patients to screen for symptoms of anxiety, depression, post-traumatic stress, and fatigue from 2018 to 2022. Two MANOVAs with separate ANOVAs and Bonferroni pairwise comparisons as post-hoc tests were computed. First, only time was included as predictor to examine the isolated impact of the pandemic. Second, income level and education level were included as further predictors to additionally test the predictive power of socioeconomic risk factors. All tests were two-sided.ResultsOnce indicators of socioeconomic status were included in the analysis, the seeming influence of the pandemic became negligible. Only income had a significant impact on all aspects of psychological symptom burden, with patients with low income being highly burdened (partial η2= .01,p= .023). The highest mean difference was found for depressive symptoms (MD= 0.13,CI= [0.07; 0.19],p< .001). The pandemic had no further influence on psychological distress.ConclusionsAlthough the pandemic is a major stressor in many respects, poverty is by far the most important risk factor for psychological symptom burden in cancer outpatients and outweighs the impact of the pandemic.
The economic impact of premature mortality in Cabo Verde: 2016 - 2020
Authors: Fernandes Ngibo Mubeta , Silveira Silva Janilza Solange Gomes , Varela Domingos Veiga , Lopes Edna Duarte , de Jesus Xavier Soares Janice 
Published: November 2022

AbstractMortality analysis studies in Cabo Verde are rare and those that are available are limited to short periods of analysis and to specific population groups. Traditionally used mortality data does not quantify the burden resulting from premature mortality. This study focused on the years of potential life lost (YPLL), years of potential productive life lost (YPPLL) and the costs associated with them in Cabo Verde from 2016 to 2020 and aimed to elucidate the patterns of early mortality in the period analyzed.Mortality data were obtained from the Ministry of Health, Cabo Verde. Deaths that occurred from 2016 to 2020, aged between one (1) and 73 years old, were analyzed by sex, age group, municipality and cause of death. YPLL, YPPLL and cost of productivity lost (CPL) were estimated using life expectancy and the human capital approach.A total of 6100 deaths were recorded in the sample population and males represented 68.1% (n = 4,154) of the deaths. The total number of deaths verified corresponded to 145,544 YPLL, of which 69.0% (100,389) were attributed to males. There were 4,634 deaths of individuals of working age, and these resulted in 80 965 YPPLL, with males contributing 72.1% (58,403) of the total YPPLL. The total estimated CPL due to premature death was 98,659,153.23 USD with trauma accounting for the highest estimated losses of 21,580,954.42 USD (21.9%), followed by diseases of the circulatory system 18,843,260.42 USD (19.1%), and certain infectious and parasitic diseases accounted for 16,633,842.70 USD (16.9%).The study demonstrated the social and economic burden of premature mortality. The YPLL, YPPLL and CPL measures can be used to complement measures traditionally used to demonstrate the burden and loss of productivity due to premature mortality and to support resource allocation and public health policies making in Cabo Verde.
Characterizing vibrational behavior of a large airship based on scaled model test and analysis
Authors: Xu Mingxuan , Jin Tao , Kong Weihong , Li Yazhi , Shen Xing , Liu Cheng , Zhu Tianyang 
Published: November 2022

Purpose
This study aims to assess the vibrational behavior of a large transport airship based on finite element (FE) simulation and modal testing of its scaled model.

Design/methodology/approach
A full-size parametric FE model of the airframe was established according to the structural layout of the composite beam-cable airframe of the airship, and vibrational analysis of the airframe was conducted. The influence of cable pre-tension load on the inherent properties of the airframe was investigated. Based on the simplification of the full-size FE model, scaled numerical and test models of the airframe, with a geometric scale factor of 1:50, were established and built.

Findings
The simulation and test results of the scaled models indicated that the mode shapes of the full-size and scaled models were similar. The natural frequencies of both the full-size and scaled models complied with the theoretical similarity relation of the frequency response.

Originality/value
This study demonstrated that the vibrational test results of the scaled model with very large scaling can be used to characterize the modal properties of the beam-cable airframe of a large transport airship.
Size matters: comparing the MDMA content and weight of ecstasy tablets submitted to European drug checking services in 2012–2021
Authors: Vrolijk Ruben Quirinus , Measham Fiona , Quesada Adrià , Luf Anton , Schori Dominique , Radley Sarah , Acreman Dean , Smith Josie , Verdenik Marko , Martins Daniel , Cunha Mar , Paulos Carlos J. , Piccinin Ilaria Fineschi , Gerace Enrico , Karden Alexandra , Koning Raoul Pieter Joost , Smit-Rigter Laura Alexandra , Ventura Mireia 
Published: November 2022

Purpose
The 3,4-methylenedioxymetamphetamine (MDMA) content in ecstasy tablets has increased enormously throughout Europe across the past decade. This study aims to determine whether this is caused by the production of “stronger” tablets (more mg MDMA per mg of tablet), or if tablets have simply been getting larger and heavier (more mg of tablet in total).

Design/methodology/approach
A data set of 31,716 ecstasy tablets obtained in 2012–2021 by 10 members of the Trans European Drug Information (TEDI) network was analysed.

Findings
The MDMA mass fraction in ecstasy tablets has remained virtually unchanged over the past 10 years, with increased MDMA contents being attributed almost exclusively to increased tablet weight. These trends seem to be uniform across Europe, despite varying sampling and analytical techniques being used by the TEDI participants. The study also shows that while tablet weight correlates perfectly with MDMA content on a yearly basis, wide variations in the MDMA mass fraction make such relations irrelevant for determining the MDMA content of individual tablets.

Research limitations/implications
These results provide new opportunities for harm reduction, given that size is a tangible and apparently accurate characteristic to emphasise that one tablet does not simply equate to one dose. This is particularly useful for harm reduction services without the resources for in-house quantification of large numbers of ecstasy tablets, although the results of this study also show that chemical analysis remains crucial for accurate personalised harm reduction.

Originality/value
The findings are both new and pertinent, providing a novel insight into the market dynamics of ecstasy tablet production at a transnational level.
Psychoactive substance use and drug checking practices among participants at electronic dance music events in Ukraine
Authors: Kushakov Vyacheslav , Dvoriak Vira , Morozova Olga , Azbel Lyu , Sergienko Galyna 
Published: November 2022

Purpose
To the best of the authors’ knowledge, no study has previously examined the use of psychoactive substances (PASs) at electronic dance music (EDM) events in Ukraine. Addressing this gap in the research literature, this study aims to: describe the recreational drug scene associated with Ukrainian EDM culture; identify clusters of EDM participants who use PAS, based on their drug use patterns; and assess the uptake of drug checking and investigate associations between drug checking and subsequent drug-related behaviour.

Design/methodology/approach
A series of cross-sectional surveys were conducted in 2021 (N = 1,307) among EDM festival participants in Ukraine. The authors performed cluster analysis to identify distinct profiles of PAS users. Trends in drug checking were analysed based on cross-sectional surveys conducted at one recurring festival in 2018 (N = 99), 2019 (N = 195) and 2021 (N = 237).

Findings
The substances most often used at EDM events were 3,4-Methylenedioxymethamphetamine (37%), amphetamine (16%), lysergic acid diethylamide (11%) and cocaine (9%). Between 2018 and 2021, the proportion of participants who reported to have ever tested their drugs has increased from 2% to 26% (p < 0.001). Unexpected or inconclusive test results led to a significantly lower chances of drug consumption (p = 0.003). The authors identified three distinct clusters of PAS users among the EDM festival attendees in Ukraine.

Originality/value
This study will inform the development of harm reduction interventions tailored to various subgroups of recreational PAS users taking into account gender-specific patterns of use suggested by the authors’ cluster analysis. Increased availability of drug checking is crucial to reduce the risks of drug-related harm associated with the consumption of mis-sold, mislabeled and/or adulterated substances.
JML’s “Callisto Lite”: is the brand extension a problem or the product itself?
Authors: Aggarwal Ashita , Iyer Shriram R. 
Published: November 2022

Learning outcomes
The learning outcomes are as follows: to understand how organizations can leverage the built-in brand equity; outline the challenges of extending a strong brand; and ability to think about the core-essence of the brand impact and its perception among customers before deciding to extend.

Case overview/synopsis
JML was a 74-year-old company and was a No.1 player in the domestic market and No. 4 globally. It maintained this leadership position through a robust product portfolio and serving new needs and opportunities. Customers associated JML's products (buses and trucks) with high-quality performance, sturdiness & reliability. JML had a well-established brand – “Callisto”, in the heavy bus segment but saw an opportunity in light buses, which could be used within the city and for school and office commute purposes. They launched Callisto Lite, a variant of successful Callisto buses, in 2015 for cashing this opportunity. Though initially, the brand showed positive signs but soon lost the novelty value and saw low returns on marketing investments. Callisto Lite was also diluting the strong brand equity of the successful parent brand. The management was undecided as to what to do. Should they move out of the segment or continue? Each had its own pros and consequences, and the decision was not easy.

Complexity academic level
The case can be used in an undergraduate or a post-graduate management program to teach the core concepts of branding and brand extension. The case can be used in an introductory marketing course or elective courses like Brand Management and Marketing Strategy.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 8: Marketing.
Designated Community: uncertainty and risk
Authors: Frank Rebecca D. , Rothfritz Laura 
Published: November 2022

PurposeThis article explores the tension between the concept of a Designated Community (DC) as a foundational element in Trustworthy Digital Repository (TDR) certification and curators' uncertainty about how to interpret and apply this concept in practice.Design/methodology/approachThis research employs a qualitative research design involving in-depth semi-structured interviews with stakeholders in the Trustworthy Digital Repository Audit and Certification (TRAC) process.FindingsThe authors' findings indicate that stakeholders in the audit and certification process viewed their uncertainty about how to apply the concept of a DC in the context of an audit as a source of risk for digital repositories and the repositories' collections.Originality/valueThis article brings new insights to digital preservation by applying social theories of risk to trustworthy digital repository audit and certification processes, with an emphasis on the concept of DC.