bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision-making in borderline hip dysplasia and concomitant femoracetabular impingement syndrome: using a discrete choice experiment to explore patient preferences
Authors: Cabell Grant H , Kwon Nicholas F , Shultz Christopher , Hutyra Carolyn A , Lewis Brian D , Olson Steven A , Salata Michael J , Nho Shane J , Mather III Richard C 
Published: February 2024

ABSTRACT
Decision-making regarding surgical treatment of patients showing radiographic evidence of femoroacetabular impingement syndrome (FAIS) in the setting of borderline hip dysplasia (BHD) remains a challenge as there is no consensus on treatment in current literature. When medical evidence is unclear, understanding patient preferences becomes particularly important in deciding the optimal treatment for each patient. The purpose of this study was to measure the patient-determined importance of factors surrounding surgical treatment of FAIS in BHD. Patients aged 18–65 with hip pain and BHD (defined as lateral center edge angle 18–25 or Tonnis angle 10–15) morphology were given a discrete-choice experiment (DCE) focusing on attributes that differ between treatment options: Length of Hospital Stay, Major Complication Rate, Chance of Needing Reoperation within 2 Years and Time to Return to Regular Exercise. This DCE was used to calculate treatment preferences, relative attribute importance and preference weights. A total of 101 patients fully completed the DCE. The most important attribute (average importance weight, 95% CI) was Chance of Reoperation (60.16, 56.99–63.34), while the least important was Hospital Stay (6.57, 5.73–7.41). Only 6 Months to Resume Regular Exercise and 2% Chance of Reoperation (P &lt; 0.05) significantly impacted treatment choice. When presented with fixed choice parameters, 50.5% of subjects preferred PAO and arthroscopy while 49.5% opted for arthroscopy alone. When no clear surgical treatment is indicated, patient preferences have an amplified role in patient decision-making. Our results confirm variation in attribute importance within treatments as well as treatment choice, highlighting the importance in understanding patient preferences in decision-making for FAIS in BHD. More patient-specific generalizable outcomes of surgical treatment options are needed in the literature.
Multivariate linear-mixed analysis of changes in anterior inferior iliac spine impingement incidence with posterior pelvic tilt: a computer simulation study
Authors: Kamono Emi , Kobayashi Naomi , Yamamoto Yuya , Yukizawa Yohei , Honda Hideki , Choe Hyonmin , Ike Hiroyuki , Kumagai Ken , Inaba Yutaka 
Published: February 2024

ABSTRACT
It is well known that increased posterior tilt of the pelvis is an effective strategy for avoiding impingement of the femur with the pelvis during movement. Daily repetitive collisions become mechanical loads, and the more frequently they occur, the more tissue damage and pain they cause. Therefore, reducing the rate of occurrence of impingement is important to avoid aggravation of symptoms. This study aimed to evaluate the effects of changes in posterior pelvic tilt on the risk of impingement between the femur and the anterior inferior iliac spine (AIIS)/subspine in various functional postures. Patients with femoroacetabular impingement syndrome (FAIS) who were candidates for hip arthroscopic osteochondroplasty between October 2013 and June 2020 were included. A three-dimensional reconstructed model was used to simulate the incidence of impingement at 12 hip positions required for activities of daily living. We predicted value of the spatial incidence of impingement assumed that hip motion should exceed 130/30 degrees without impingement. Impingement was measured at three pelvic positions: an anterior tilt of 10°, in the functional pelvic plane and a posterior tilt of 10°. Multivariate linear-mixed models were used to assess the effect of covariate-adjusted posterior pelvic tilt on the impingement incidence in the AIIS region. AIIS type, center-edge angle, acetabular version and femoral version were used as covariates. The impingement rates and locations of the three pelvic tilt postures were assessed. Seventy-eight patients (60 males and 18 females; average age, 46 ± 15.1 years) with FAIS were analyzed. A multivariate linear-mixed model revealed a coefficient of −0.8% (95% confidence interval −0.9 to −0.7%; P &lt; 0.001) for posterior pelvic tilt. Thus, posterior pelvic tilt affects AIIS impingement incidence. After adjusting for anatomical effects, the posterior pelvic tilt should be addressed to avoid impingement.
Purpose definition as a crucial step for determining the legal basis under the GDPR: implications for scientific research
Authors: Becker Regina , Chokoshvili Davit , Thorogood Adrian , Dove Edward S , Molnár-Gábor Fruzsina , Ziaka Alexandra , Tzortzatou-Nanopoulou Olga , Comandè Giovanni 
Published: February 2024

Abstract
The General Data Protection Regulation (GDPR) of the European Union, which became applicable in 2018, contains a new accountability principle. Under this principle, controllers (ie parties determining the purposes and the means of the processing of personal data) are responsible for ensuring and demonstrating the overall compliance with the GDPR. However, interpretive uncertainties of the GDPR mean that controllers must exercise considerable judgement in designing and implementing an appropriate compliance strategy, making GDPR compliance both complex and resource-intensive. In this article, we provide conceptual clarity around GDPR compliance with respect to one core aspect of the law: the determination and relevance of the purpose of personal data processing. We derive from the GDPR’s text concrete requirements for purpose specification, which we subsequently apply to the area of secondary use of personal data for scientific research. We offer guidance for correctly specifying purposes of data processing under different research scenarios. To illustrate the practical necessity of purpose specification for GDPR compliance, we then show how our proposed approach can enable controllers to meet their compliance obligations, using the example of the overarching GDPR principle of lawfulness to highlight the relevance of purpose specification for the identification of a suitable legal basis.
The importance of being privileged: Digital entrepreneurship as a class project
Authors: Murray Grant , Carter Chris , Spence Crawford 
Published: February 2024

Abstract
Established professional occupations can become the preserve of elites when fitting in is driven by class-based criteria. In contrast, digital entrepreneurship has been proposed as a means by which people may emancipate themselves from societal constraints. We interrogate digital entrepreneurship’s meritocratic foundations by way of a 36-month ethnography of a startup incubator. Attending to the dispositions of digital entrepreneurs, we reveal they use cultural tastes and manners to create the incubator as a place where members of the privileged class can reinvent themselves at their leisure, all the while adopting the meritocratic mythologies of digital entrepreneurship to disavow their own privilege. This opens up a two-fold contribution to the study of professions and occupations. Firstly, we demonstrate how professional and occupational roles are epiphenomenal to class positioning. Secondly, the parallels between the legitimating discourses of entrepreneurs and more established professional jurisdictions attest to a community that is in the process of professionalization.
Feeling the Strain: Understanding the Relationship between Stress and Physical Activity in Members of the Royal Canadian Navy
Authors: Guérin Eva , Gottschall Shannon 
Published: February 2024

ABSTRACT

Introduction
Research finds that experiencing psychological stress can be associated with engaging in less physical activity, a critical contributor to operational readiness and overall health and well-being. As navy personnel tend to engage in lower levels of physical activity than other military personnel, the purpose of this study was to examine the relationship between stress and physical activity in the Royal Canadian Navy (RCN) and identify moderators of this relationship.

Materials and Methods
Data for this study were obtained from an electronic workplace well-being survey administered to a stratified random sample of 930 members in hard sea occupations managed by the RCN. Multivariable logistic regressions examined the associations between indicators of stress (e.g., job stress, burnout, work-life conflict, and psychological distress) and physical activity engagement; the moderating effects of demographic/military characteristics and health status (e.g., rank, gender, sailing status, general health status, and body mass index [BMI]) were examined.

Results
Navy personnel who were married or in common-law relationships and those who reported poorer overall health were less likely to be physically active. Navy personnel with lower psychological distress were more likely be active (P = .03); however, direct associations with other indicators of stress were not significant. BMI was the only significant moderator of the relationship between stress and physical activity. Specifically, for members classified as obese, higher levels of burnout and work-life conflict were associated with being more physically active. Conversely, nonobese members with elevated burnout reported less physical activity.

Conclusions
The findings of this study support a complex relationship between experiencing stress and engaging in physical activity, which showed varying patterns based on BMI classification. Although the cross-sectional nature of the data precludes any inferences about the direction of these effects, the results suggest that some members of the RCN are more at risk of experiencing decrements in physical activity. Future research should examine the types of physical activity supports and incentives that are needed to ensure that navy personnel derive the benefits of an active lifestyle, especially in times of stress.
Quantification and visualization of cis-regulatory dynamics in single-cell multi-omics data with TREASMO
Authors: Liu Chaozhong , Wang Linhua , Liu Zhandong 
Published: February 2024

Abstract
Recent advances in single-cell multi-omics technologies have provided unprecedented insights into regulatory processes. We introduce TREASMO, a versatile Python package designed to quantify and visualize transcriptional regulatory dynamics in single-cell multi-omics datasets. TREASMO has four modules, spanning data preparation, correlation quantification, downstream analysis and visualization, enabling comprehensive dataset exploration. By introducing a novel single-cell gene–peak correlation strength index, TREASMO facilitates accurate identification of regulatory changes at single-cell resolution. Validation on a hematopoietic stem and progenitor cell dataset showcases TREASMO’s capacity in quantifying the gene–peak correlation strength at the single-cell level, identifying regulatory markers and discovering temporal regulatory patterns along the trajectory.
mergem: merging, comparing, and translating genome-scale metabolic models using universal identifiers
Authors: Hari Archana , Zarrabi Arveen , Lobo Daniel 
Published: February 2024

Abstract
Numerous methods exist to produce and refine genome-scale metabolic models. However, due to the use of incompatible identifier systems for metabolites and reactions, computing and visualizing the metabolic differences and similarities of such models is a current challenge. Furthermore, there is a lack of automated tools that can combine the strengths of multiple reconstruction pipelines into a curated single comprehensive model by merging different drafts, which possibly use incompatible namespaces. Here we present mergem, a novel method to compare, merge, and translate two or more metabolic models. Using a universal metabolic identifier mapping system constructed from multiple metabolic databases, mergem robustly can compare models from different pipelines, merge their common elements, and translate their identifiers to other database systems. mergem is implemented as a command line tool, a Python package, and on the web-application Fluxer, which allows simulating and visually comparing multiple models with different interactive flux graphs. The ability to merge, compare, and translate diverse genome scale metabolic models can facilitate the curation of comprehensive reconstructions and the discovery of unique and common metabolic features among different organisms.
Identifying IDH-mutant and 1p/19q noncodeleted astrocytomas from nonenhancing gliomas: Manual recognition followed by artificial intelligence recognition
Authors: He Lei , Zhang Hong , Li Tianshi , Yang Jianing , Zhou Yanpeng , Wang Jiaxiang , Saidaer Tuerhong , Bai Xiaoyan , Liu Xing , Wang Yinyan , Wang Lei 
Published: February 2024

Abstract

Background
The T2-FLAIR mismatch sign (T2FM) has nearly 100% specificity for predicting IDH-mutant and 1p/19q noncodeleted astrocytomas (astrocytomas). However, only 18.2%–56.0% of astrocytomas demonstrate a positive T2FM. Methods must be considered for distinguishing astrocytomas from negative T2FM gliomas. In this study, positive T2FM gliomas were manually distinguished from nonenhancing gliomas, and then a support vector machine (SVM) classification model was used to distinguish astrocytomas from negative T2FM gliomas.

Methods
Nonenhancing gliomas (regardless of pathological type or grade) diagnosed between January 2022 and October 2022 (N = 300) and November 2022 and March 2023 (N = 196) will comprise the training and validation sets, respectively. Our method for distinguishing astrocytomas from nonenhancing gliomas was examined and validated using the training set and validation set.

Results
The specificity of T2FM for predicting astrocytomas was 100% in both the training and validation sets, while the sensitivity was 42.75% and 67.22%, respectively. Using a classification model of SVM based on radiomics features, among negative T2FM gliomas, the accuracy was above 85% when the prediction score was greater than 0.70 in identifying astrocytomas and above 95% when the prediction score was less than 0.30 in identifying nonastrocytomas.

Conclusions
Manual screening of positive T2FM gliomas, followed by the SVM classification model to differentiate astrocytomas from negative T2FM gliomas, may be a more effective method for identifying astrocytomas in nonenhancing gliomas.
Prediction of MGMT promotor methylation status in glioblastoma by contrast-enhanced T1-weighted intensity image
Authors: Sanada Takahiro , Kinoshita Manabu , Sasaki Takahiro , Yamamoto Shota , Fujikawa Seiya , Fukuyama Shusei , Hayashi Nobuhide , Fukai Junya , Okita Yoshiko , Nonaka Masahiro , Uda Takehiro , Arita Hideyuki , Mori Kanji , Ishibashi Kenichi , Takano Koji , Nishida Namiko , Shofuda Tomoko , Yoshioka Ema , Kanematsu Daisuke , Tanino Mishie , Kodama Yoshinori , Mano Masayuki , Kanemura Yonehiro 
Published: February 2024

Abstract

Background
The study aims to explore MRI phenotypes that predict glioblastoma’s (GBM) methylation status of the promoter region of MGMT gene (pMGMT) by qualitatively assessing contrast-enhanced T1-weighted intensity images.

Methods
A total of 193 histologically and molecularly confirmed GBMs at the Kansai Network for Molecular Diagnosis of Central Nervous Tumors (KANSAI) were used as an exploratory cohort. From the Cancer Imaging Archive/Cancer Genome Atlas (TCGA) 93 patients were used as validation cohorts. “Thickened structure” was defined as the solid tumor component presenting circumferential extension or occupying &gt;50% of the tumor volume. “Methylated contrast phenotype” was defined as indistinct enhancing circumferential border, heterogenous enhancement, or nodular enhancement. Inter-rater agreement was assessed, followed by an investigation of the relationship between radiological findings and pMGMT methylation status.

Results
Fleiss’s Kappa coefficient for “Thickened structure” was 0.68 for the exploratory and 0.55 for the validation cohort, and for “Methylated contrast phenotype,” 0.30 and 0.39, respectively. The imaging feature, the presence of “Thickened structure” and absence of “Methylated contrast phenotype,” was significantly predictive of pMGMT unmethylation both for the exploratory (p = .015, odds ratio = 2.44) and for the validation cohort (p = .006, odds ratio = 7.83). The sensitivities and specificities of the imaging feature, the presence of “Thickened structure,” and the absence of “Methylated contrast phenotype” for predicting pMGMT unmethylation were 0.29 and 0.86 for the exploratory and 0.25 and 0.96 for the validation cohort.

Conclusions
The present study showed that qualitative assessment of contrast-enhanced T1-weighted intensity images helps predict GBM’s pMGMT methylation status.
Steric hindrance modulation of hexaazatribenzanthraquinone isomers for high-capacity and wide-temperature-range aqueous proton battery
Authors: Yang Mingsheng , Hao Yuxin , Wang Bei , Wang Yan , Zheng Liping , Li Rui , Ma Huige , Wang Xinyu , Jing Xiaoming , Li Hongwei , Li Mengxiao , Wang Zhihui , Dai Yujie , Shan Guangcun , Hu Mingjun , Luo Jun , Yang Jun 
Published: February 2024

ABSTRACT
Organic materials with rich active sites are good candidates of high-capacity anodes in aqueous batteries, but commonly low utilization of active sites limits their capacity. Herein, two isomers, symmetric and asymmetric hexaazatribenzanthraquinone (s-HATBAQ and a-HATBAQ), with rich active sites have been synthesized in a controllable manner. It has been revealed for the first time that a sulfuric acid catalyst can facilitate the stereoselective formation of s-HATBAQ. Attributed to the reduced steric hindrance in favor of proton insertion as well as the amorphous structure conducive to electrochemical dynamics, s-HATBAQ exhibits 1.5 times larger specific capacity than a-HATBAQ. Consequently, the electrode of s-HATBAQ with 50% reduced graphene oxide (s-HATBAQ-50%rGO) delivers a record high specific capacity of 405 mAh g−1 in H2SO4 electrolyte. Moreover, the assembled MnO2//s-HATBAQ-50%rGO aqueous proton full batteries show an exceptional cycling stability at 25°C and can maintain ∼92% capacity after 1000 cycles at 0.5 A g−1 at −80°C. This work demonstrates the controllable synthesis of isomers, showcases a wide-temperature-range prototype proton battery and highlights the significance of precise molecular structure modulation in organic energy storage.
Effects of Neonatal BCG-Japan Versus BCG-Russia Vaccination on Overall Mortality and Morbidity: Randomized Controlled Trial From Guinea-Bissau (BCGSTRAIN II)
Authors: Schaltz-Buchholzer Frederik , Nielsen Sebastian , Sørensen Marcus Kjær , Stjernholm Elise Brenno , Fabricius Rebecca Alison , Umbasse Paulo , Monteiro Ivan , Cá Elsi Jose Carlos , Aaby Peter , Benn Christine Stabell 
Published: February 2024

Abstract

Background
Vaccination with the Danish strain of bacille Calmette-Guérin (BCG) has been associated with pronounced reductions in all-cause neonatal mortality and morbidity. Developing a skin reaction postvaccination is associated with markedly reduced mortality risk. It is unknown whether the beneficial nonspecific effects are maintained across different BCG strains.

Methods
This was an open-label randomized controlled trial in Guinea-Bissau, comparing BCG-Japan (n = 8754) versus BCG-Russia (n = 8752) for all-cause hospital admission risk by 6 weeks of age (primary outcome) and 6 months of age. Additional secondary outcomes were in-hospital case-fatality risk (CFR), all-cause mortality, and BCG skin reaction prevalence. Participants were followed through telephone calls at 6 weeks and 6 months, with a subgroup also visited at home. We assessed admission and mortality risk in Cox models providing incidence rate ratios (IRRs) and mortality rate ratios. CFR and skin reactions were assessed by binomial regression providing risk ratios. Analyses were done overall and stratified by sex.

Results
BCG strain was not associated with admission risk, the BCG-Japan/BCG-Russia IRR being 0.92 (95% confidence interval [CI], .81–1.05) by 6 weeks and 0.92 (95% CI, .82–1.02) by 6 months. By 6 months of age, there were significantly fewer BCG-Japan infants with no skin reaction (1%) than for BCG-Russia (2%), the risk ratio being 0.36 (95% CI, .16–.81). BCG-Japan skin reactions were also larger.

Conclusions
Both vaccines induced a skin reaction in almost all participants. The BCG strains had comparable effects on morbidity and mortality, but BCG-Japan was associated with more and larger skin reactions that are indicators of lower mortality risk.

Clinical Trials Registration
NCT03400878.
Global Safety Assessment of Adverse Events of Special Interest Following 2 Years of Use and 772 Million Administered Doses of mRNA-1273
Authors: Urdaneta Veronica , Esposito Daina B , Dharia Priyadarshani , Moraga Margot Stam , Anteyi Kate , Oduyebo-Omotosho Titi , Rossi Melissa , Burton Paul , Vega José M , Dawson Rachel , Straus Walter 
Published: February 2024

Abstract

Background
Large-scale use of mRNA COVID-19 vaccines during the pandemic was associated with enhanced safety monitoring to ensure accurate and timely review of safety. We reviewed the mRNA-1273 (original strain) safety profile following 2 years of use (&gt;772 million administered doses), primarily focusing on predefined safety topics (ie, adverse events of special interest [AESIs]) proposed in advance of COVID-19 vaccine use.

Methods
Cumulative mRNA-1273 safety data were included from spontaneous adverse event (AE) cases reported to Moderna’s global safety database between 18 December 2020 and 17 December 2022. Reporting rates of AESIs were calculated per 1 million doses of mRNA-1273 administered. Observed-to-expected (OE) ratios were computed by comparing observed rates of AESIs with the background/expected rate for these events to evaluate potential associations with mRNA-1273.

Results
There were 658 759 identified case reports associated with 2 517 669 AEs. Most AEs were nonserious (83.4%; 2 098 954/2 517 669). Overall 0.7% (17 751/2 517 669) were fatal. AESIs represented 13.7% of all AEs (344 921/2 517 669), with reporting rates for most AESIs below the expected background incidence. Exceptions included anaphylaxis (OE ratio 3 days after vaccination, 2.09; 95% CI, 1.93–2.25) and, among individuals aged 12 to 40 years, myocarditis (OE ratio 7 days after any dose, 3.89 [3.50–4.32]; among men after dose 2, 8.57 [6.88–10.68]) and pericarditis (OE ratio 7 days after vaccination, 3.47; 2.89–4.16).

Conclusions
This safety analysis of mRNA-1273 identified evidence of increased risk for anaphylaxis, myocarditis, and pericarditis but not for other AESIs identified for enhanced monitoring ahead of COVID-19 vaccine use.
Forecasting drug-overdose mortality by age in the United States at the national and county levels
Authors: Böttcher Lucas , Chou Tom , D’Orsogna Maria R 
Published: February 2024

AbstractThe drug-overdose crisis in the United States continues to intensify. Fatalities have increased 5-fold since 1999 reaching a record high of 108,000 deaths in 2021. The epidemic has unfolded through distinct waves of different drug types, uniquely impacting various age, gender, race, and ethnic groups in specific geographical areas. One major challenge in designing interventions and efficiently delivering treatment is forecasting age-specific overdose patterns at the local level. To address this need, we develop a forecasting method that assimilates observational data obtained from the CDC WONDER database with an age-structured model of addiction and overdose mortality. We apply our method nationwide and to three select areas: Los Angeles County, Cook County, and the five boroughs of New York City, providing forecasts of drug-overdose mortality and estimates of relevant epidemiological quantities, such as mortality and age-specific addiction rates.