bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between general anesthesia in early childhood and neurodevelopment up to 4 years of age: the Japan Environment and Children’s Study
Authors: Nagai Takahisa , Yoda Yoshiko , Tokuda Narumi , Takeshima Yasuhiro , Hirose Munetaka , Shima Masayuki ,   Japan Environment, Children’s Study (JECS) Group, Kamijima Michihiro , Yamazaki Shin , Ohya Yukihiro , Kishi Reiko , Yaegashi Nobuo , Hashimoto Koichi , Mori Chisato , Ito Shuichi , Yamagata Zentaro , Inadera Hidekuni , Nakayama Takeo , Sobue Tomotaka , Kageyama Seiji , Suganuma Narufumi , Ohga Shoichi , Katoh. Takahiko 
Published: June 2024

Abstract
Purpose
The effects of general anesthesia on neurodevelopment in children remain controversial. We explored the relationship between general anesthesia and neurodevelopment in children participating in the Japan Environment and Children’s Study (JECS).

Methods
This study enrolled children born between 37 and 41 weeks of pregnancy via single-vaginal delivery to pregnant women registered in the JECS between January 2011 and March 2014. Data were collected from mother-completed questionnaires and medical transcripts. Neurodevelopment in five domains was assessed every 6 months between 12 and 48 months of age, using the Ages and Stages Questionnaires. The associations between general anesthesia exposure during early childhood and neurodevelopment in children were evaluated at each time point. Adjusted odds ratios and 95% confidence intervals were estimated after covariate adjustment using logistic regression models.

Results
Children who received general anesthesia before age 1 year had higher risks of neurodevelopmental delay in all five domains throughout the observational period. The largest risk was for gross motor delay at 18 months (adjusted odds ratio: 3.51; 95% confidence interval: 2.75–4.49). The effects on the incidence of neurodevelopmental delays after age 3 were not observed except for problem solving at 48 months. The risk of neurodevelopmental delay in children who first received general anesthesia after age 1 was considerably small.

Conclusions
This study suggests that general anesthesia administration before age 1 is associated with neurodevelopmental delay during 1–4 years of age. The risk of general anesthesia after age 1 may be small.
Intracapsular neck of femur fractures secondary to civilian gunshot injuries: an inter- and intra-observer agreement study on classification and treatment using the AO/OTA classification
Authors: Maqungo Sithombo , Nicol Andrew , Laubscher Maritz , Williams Kaylin , Graham Simon , Henry Michelle , Kauta Ntambue , Berry Kirsty 
Published: June 2024

Abstract
Purpose
Numerous classification systems have been developed for neck of femur fractures, but none have been tested for reliability in gunshot injuries. Our primary objective was to assess the inter-observer and intra-observer reliability of the AO/OTA classification system when applied to intracapsular neck of femur fractures secondary to low-velocity civilian gunshots wounds (GSWs). Our secondary objective was to test the reliability of the AO/OTA classification system in guiding surgeon treatment choices for these fractures.

Patients and methods
Eighteen reviewers (six orthopaedic traumatologists, six general orthopaedic surgeons and six junior orthopaedic fellows) were given a set of 25 plain radiographs and CT scans of femur neck fractures secondary to GSW. For each clinical case, all reviewers selected a classification as well as treatment option from a list of given options. Inter-observer reliability was measured at the initial classification. The exercise was repeated 10–12 weeks later by the same 18 reviewers to test intra-observer reliability.

Results
The Fleiss kappa values indicate only slight agreement amongst raters, across all experience levels, for both injury classification and treatment. Intra-observer agreement was fair across all experience levels for both injury classification and treatment.

Conclusion
The AO/OTA classification showed only slight reliability in classification of gunshot fractures of the femur neck. With only fair reliability, it also failed to guide surgical treatment thus rendering its routine use in daily clinical practice of questionable value.
Durable control of psoriatic arthritis with guselkumab across domains and patient characteristics: post hoc analysis of a phase 3 study
Authors: Ritchlin Christopher T. , Mease Philip J. , Boehncke Wolf-Henning , Tesser John , Chakravarty Soumya D. , Rampakakis Emmanouil , Shawi May , Schiopu Elena , Merola Joseph F. , McInnes Iain B. , Deodhar Atul 
Published: June 2024

Abstract
Objectives
Evaluate patterns of stringent disease control with 2 years of guselkumab across key disease-identified domains and patient-reported outcomes (PROs) in subgroups of patients with psoriatic arthritis (PsA) defined by baseline characteristics.

Method
This post hoc analysis of DISCOVER-2 (Clinicaltrials.gov NCT03158285) evaluated biologic-naïve PsA patients (≥ 5 swollen/ ≥ 5 tender joints, C-reactive protein [CRP] ≥ 0.6 mg/dL) randomized to guselkumab every 4 weeks (Q4W); guselkumab at Weeks 0 and 4, then Q8W; or placebo with crossover to guselkumab Q4W at Week 24. Achievement of American College of Rheumatology 50/70% improvement (ACR50/70), Investigator’s Global Assessment (IGA) 0, dactylitis/enthesitis resolution, Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue response (≥ 4-point improvement), HAQ-Disability Index (HAQ-DI) response (≥ 0.35-point improvement), PsA Disease Activity Score (PASDAS) low disease activity (LDA), and minimal disease activity (MDA) was assessed at Weeks 24, 52, and 100 in subgroups defined by sex and baseline medication use, body mass index, PsA duration, swollen/tender joints, CRP, and psoriasis severity/extent. Patients with missing categorical response data were considered nonresponders.

Results
442/493 (90%) guselkumab-randomized patients completed treatment through Week 100. Significant multi-domain efficacy of guselkumab versus placebo was shown across adequately sized patient subgroups. A pattern of continuous improvement was observed across key PsA domains and PROs within patient subgroups: 65%–85% of guselkumab-randomized patients had enthesitis/dactylitis resolution, 50%–70% achieved complete skin clearance, 60%–80% reported meaningful improvements in function/fatigue, 40%–65% achieved PASDAS LDA, and 35%–50% achieved MDA at Week 100.

Conclusion
Patients with active PsA receiving guselkumab demonstrated durable achievement of stringent endpoints associated with disease control across key PsA domains and PROs, regardless of baseline characteristics.

Key Points• Among biologic-naïve patients with highly active psoriatic arthritis (PsA), efficacy of guselkumab across stringent disease endpoints and patient-reported outcomes (PROs) at Week 24 was consistent regardless of baseline demographics and disease characteristics.• Within guselkumab-randomized PsA patient subgroups, major improvements in joint disease activity, complete skin clearance, dactylitis/enthesitis resolution, clinically meaningful improvements in PROs, and achievement of low overall disease activity were maintained through Week 100.• Durable stringent endpoint achievement indicating disease control was observed with guselkumab, regardless of baseline patient or disease characteristics.

Graphical Abstract
Clinical manifestations and biomarkers to predict mortality risk in adults with invasive Streptococcus dysgalactiae subsp. equisimilis infections
Authors: Hanada Shigeo , Wajima Takeaki , Takata Misako , Morozumi Miyuki , Shoji Michi , Iwata Satoshi , Ubukata Kimiko 
Published: June 2024

Abstract
Purpose
The incidence of invasive Streptococcus dysgalactiae subsp. equisimilis (iSDSE) infections is increasing in developed countries, but studies on the risk factors for death in iSDSE infections are scant. Here, we aimed to clarify risk factors and predictors of mortality in adults with iSDSE infections.

Methods
A multicentre observational study of adults with iSDSE infections was conducted to investigate the effects of host factors, disease severity, biomarkers, and antibiotic regimens, and bacterial factors on 28-day mortality.

Results
The overall mortality rate of 588 patients was 10.4%, with a significant increase in those aged ≥ 60 years. Most of the patients (97.4%) had underlying diseases. The mortality rate (70.4%) of patients with severe disease was significantly higher than that of patients with mild-to-moderate disease (4.3%; p < 0.001). The risk factors for death identified using multivariable analysis were age ≥ 60 years (hazard ratio [HR], 3.4; 95% confidence interval [CI], 1.0–11.3, p = 0.042); severe disease (HR, 15.0; 95% CI 7.7–29.2, p < 0.001); bacteraemia without primary focus (HR, 20.5; 95% CI 2.8–152.3, p = 0.003); serum creatinine ≥ 2.0 mg/dL (HR, 2.2; 95% CI 1.2–4.0, p = 0.010); serum creatine kinase ≥ 300 IU/L (HR, 2.1; 95% CI 1.1–3.8, p = 0.019); and macrolide resistance (HR, 1.8; 95% CI 1.0–3.3, p = 0.048). Treatment regimens and emm types were not associated with poor outcomes.

Conclusion
Evaluation of clinical manifestations and biomarkers on admission is important to predict invasive SDSE infection prognosis.
A robust method to date recessions and compute output gaps: the Portuguese case
Authors: Assunção João B. , Fernandes Pedro Afonso 
Published: June 2024

Abstract
The application of the Hodrick-Prescott (HP) and other linear filters to remove trend and extract business cycles in macroeconomic time series is a common practice despite its limitations, namely, in signaling recessions. Median filters and other nonlinear techniques can perform better by accommodating sharp but fundamental changes in the growth trend and passing only the relevant information to the cycle component, a possible measure of the output gap of an economy. An application to the Portuguese relevant macroeconomic series confirmed the robustness of nonlinear filters in signaling the recessions and recoveries. In particular, the Mosheiov-Raveh (MR) filter estimates piecewise trend growth paths that naturally date the specific periods of the Portuguese economy since 1977.
Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal
Authors: Villaça Caio , Santos Pedro Pinto , Zêzere José Luís 
Published: June 2024

AbstractRainfall-triggered landslides pose a significant threat to both infrastructure and human lives, making it crucial to comprehend the factors that contribute to their occurrence. Specifically, understanding the relationship between these factors and the amount of rain that is necessary for triggering such events is essential for effective prediction and mitigation strategies. To address this issue, our study proposes a statistical modelling approach using machine learning, specifically the Random Forest algorithm, to investigate the connection between landslide predisposing factors and the daily rainfall intensity threshold necessary for the initiation of shallow landslides in Portugal. By leveraging a comprehensive dataset comprising historical landslide events, associated critical rainfall, and ten distinct landslide predisposing factors, we developed several models and used cross-validation technique to evaluate their performance. Our findings demonstrate that the Random Forest model effectively captures a relationship among landslide predisposing factors, critical daily rainfall intensity, and landslide occurrences. The models exhibit a satisfactory accuracy in assessing the spatial variation of critical daily rainfall intensity based on the predisposing factors, with a mean absolute percentage error (MAPE) of around 17%. Furthermore, the models provide valuable insights into the relative importance of various predisposing factors in landslide triggering, highlighting the significance of each factor. It was found that it takes higher rainfall intensity to trigger shallow landslides in the north region of Portugal when considering critical rainfall events of 3 and 13 days. Slope aspect, slope angle, and clay content in the soil are among the main predisposing factors used for defining the spatial variation of the daily rainfall intensity threshold.
Engineering free-standing electrospun PLLCL fibers on microfluidic platform for cell alignment
Authors: Yildirim-Semerci Özüm , Arslan-Yildiz Ahu 
Published: June 2024

AbstractHere, a PLLCL-on-chip platform was developed by direct electrospinning of poly (L-lactide-co-ε-caprolactone) (PLLCL) on polymethyl methacrylate (PMMA) microfluidic chips. Designed microchip provides the electrospinning of free-standing aligned PLLCL fibers which eliminates limitations of conventional electrospinning. Besides, aligned fiber structure favors cell alignment through contactless manipulation. Average fiber diameter, and fiber alignment was evaluated by SEM analyses, then, leakage profile of microchip was investigated. 3D cell culture studies were conducted using HeLa and NIH-3T3 cells, and nearly 85% cell viability was observed in PLLCL-on-chip for 15 days, while cell viability of 2D control started to decrease after 7 days based on Live dead and Alamar Blue analyses. These findings emphasize biocompatibility of PLLCL-on-chip platform for 3D cell culture and its ability to mimic extracellular matrix (ECM). Immunostaining results prove that PLLCL-on-chip platform favors the secretion of ECM proteins compared to control groups, and cytoskeletons of cells were in aligned orientation in PLLCL-on-chip, while they were in random orientation in control groups. Overall, these results demonstrate that the developed platform is suitable for the formation of various 3D cell culture models and a potential candidate for cell alignment studies.
Graphical Abstract
Parametrised Presentability Over Orbital Categories
Authors: Hilman Kaif 
Published: June 2024

AbstractIn this paper, we develop the notion of presentability in the parametrised homotopy theory framework of Barwick et al. (Parametrized higher category theory and higher algebra: a general introduction, 2016) over orbital categories. We formulate and prove a characterisation of parametrised presentable categories in terms of its associated straightening. From this we deduce a parametrised adjoint functor theorem from the unparametrised version, prove various localisation results, and we record the interactions of the notion of presentability here with multiplicative matters. Such a theory is of interest for example in equivariant homotopy theory, and we will apply it in Hilman (Parametrised noncommutative motives and cubical descent in equivariant algebraic K-theory, 2022) to construct the category of parametrised noncommutative motives for equivariant algebraic K-theory.
Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation
Authors: Kabiri Meisam , Cimarelli Claudio , Bavle Hriday , Sanchez-Lopez Jose Luis , Voos Holger 
Published: June 2024

Abstract5G New Radio Time of Arrival (ToA) data has the potential to revolutionize indoor localization for micro aerial vehicles (MAVs). However, its performance under varying network setups, especially when combined with IMU data for real-time localization, has not been fully explored so far. In this study, we develop an Error State Kalman Filter (ESKF) and a Pose Graph Optimization (PGO) approach to address this gap. We systematically evaluate the performance of the derived approaches for real-time MAV localization in realistic scenarios with 5G base stations in Line-Of-Sight (LOS), demonstrating the potential of 5G technologies in this domain. In order to experimentally test and compare our localization approaches, we augment the EuRoC MAV benchmark dataset for visual-inertial odometry with simulated yet highly realistic 5G ToA measurements. Our experimental results comprehensively assess the impact of varying network setups, including varying base station numbers and network configurations, on ToA-based MAV localization performance. The findings show promising results for seamless and robust localization using 5G ToA measurements, achieving an accuracy of 15 cm throughout the entire trajectory within a graph-based framework with five 5G base stations, and an accuracy of up to 34 cm in the case of ESKF-based localization. Additionally, we measure the run time of both algorithms and show that they are both fast enough for real-time implementation.
Elements of Return-to-Work Interventions for Workers on Long-Term Sick Leave: A Systematic Literature Review
Authors: de Geus Christa J. C. , Huysmans Maaike A. , van Rijssen H. Jolanda , de Maaker-Berkhof Marianne , Schoonmade Linda J. , Anema Johannes R. 
Published: June 2024

Abstract
Purpose
The aim of this systematic review is to identify vocational rehabilitation (VR) interventions that are effective to enhance return-to-work (RTW) for people on long-term sick leave (> 90 days) and to identify main elements of these interventions.

Methods
Six electronic databases were searched for peer-reviewed studies published up to February 2022. Each article was screened independently by two different reviewers. Thereafter, one author performed the data-extraction which was checked by another author. The EPHPP quality assessment tool was used to appraise the methodological quality of the studies.

Results
11.837 articles were identified. 21 articles were included in the review, which described 25 interventions. Results showed that ten interventions were more effective than usual care on RTW. Two interventions had mixed results. The effective interventions varied widely in content, but were often more extensive than usual care. Common elements of the effective interventions were: coaching, counseling and motivational interviewing, planning return to work, placing the worker in work or teaching practical skills and advising at the workplace. However, these elements were also common in interventions that were not effective on RTW compared to usual care and can therefore not explain why certain interventions are effective and others are not.

Conclusion
The effective interventions included in this study were often quite extensive and aimed at multiple phases of the RTW-process of the worker. In the future, researchers need to describe the population and the content of the investigated interventions more elaborate to be able to better compare VR interventions and determine what elements make interventions effective.
Can Sovereign Green Bonds Accelerate the Transition to Net-Zero Greenhouse Gas Emissions?
Authors: Chesini Giusy 
Published: June 2024

AbstractThis paper focuses on sovereign green bonds issued in Europe. By issuing green bonds, European governments commit themselves to realizing environmentally friendly projects and encourage other entities, including private-sector ones, to do the same, thus increasing further domestic investments in addressing climate change. However, considering that governments could pursue their sustainable goals by also issuing conventional bonds, this begs the question of why governments should prefer green bonds. A dataset of European sovereign green bonds was retrieved from the Bloomberg Fixed Income database to answer this question. The data cover all European sovereign green bonds issued until the end of 2023. Quantitative analysis confirms the existence of a small green premium for the issuers, representing an incentive to increase the issuances of sovereign green bonds. Furthermore, the government's carbon emissions reduction, the power sector decarbonization, and good climate policies, measured by the Government Climate Risk Score, contribute to further reducing a country's climate risk and consequently the costs of the issuance, thus triggering a virtuous circle which could, in turn, accelerate the transition to net-zero emissions. Despite these benefits, hurdles still exist, and have curbed the development of the market. Examples include divergence between the use of funds raised through green bonds, which should be earmarked exclusively for climate and environmental projects, and the fungibility requirements for proceeds from sovereign debt and fiscal revenues.
Searching for a sustainable solution to increasing chemical pollution
Authors: Rakowska Joanna 
Published: June 2024

AbstractThe growing world population and the development of civilization put pressure on the environment. Irreversible climate changes, biodiversity loss, ocean acidification, land and water degradation, and food scarcity took place. Climate changes affect human health through extreme atmospheric phenomena or indirect effects of ecosystem disruption. The intensification of natural disasters increases the risk of technical failures, and the growing production and release of larger quantities and more new chemical compounds, with different hazard potentials, exceeds the environment’s adaptability and societies’ ability to monitor changes and conduct safety assessments. The article reviews the knowledge and approach to the possibility of reducing the risks and effects of events resulting from chemical pollution. As stated, prevention of further environmental degradation and increased preparedness for natural disasters caused by climate change is critical to public safety and requires contingency plans to continuously adapt to the changing frequency, intensity, and scale of natural disasters.
Urolithin C suppresses colorectal cancer progression via the AKT/mTOR pathway
Authors: Yang Haochi , Wu Binghuo , yang Qi , Tan Tian , Shang Dan , Chen Jie , Cao Chenhui , Xu Chuan 
Published: June 2024

AbstractUrolithin families are gut-microbial metabolites of ellagic acid (EA). Although urolithin A (UA) and urolithin B (UB) were reported to have antiproliferative activities in cancer cells, the role and related mechanisms of urolithin C (UC) in colorectal cancer (CRC) have not yet been clarified. In this study, we assess the antitumor activities of UC in vitro and in vivo and further explore the underlying mechanisms in CRC cell lines. We found that UC inhibited the proliferation and migration of CRC cells, induced apoptosis, and arrested the cell cycle at the G2/M phase in vitro, and UC inhibited tumor growth in a subcutaneous transplantation tumor model in vivo. Mechanically, UC blocked the activation of the AKT/mTOR signaling pathway by decreasing the expression of Y-box binding protein 1(YBX1). The AKT agonist SC79 could reverse the suppression of cell proliferation in UC-treated CRC cells. In conclusion, our research revealed that UC could prevent the progression of CRC by blocking AKT/mTOR signaling, suggesting that it may have potential therapeutic values.
Graphical Abstract