bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ineffectiveness of the Right to Compensation for Victims of Sexual Violence: A Comparison Between Five EU Member States
Authors: Soleto Helena , Elbers Nieke , Akkermans Arno , Tamarit Josep Maria , Arantegui Laura , Lepri Gian Luigi , Chirico Doriana , Lāce Iluta , Spetsidis Nicholas 
Published: April 2024

AbstractIn EU Member States, victims of sexual violence can seek justice through financial compensation in several ways: offender payments through an adhesion process (route 1), state payment schemes (route 2), and civil litigation (route 3). This paper examines policies and practices in five countries (the Netherlands, Latvia, Spain, Italy and Greece) and the degree to which they comply with two EU Directives. Policy data were collected via the EU justice portal and verified by local experts. Empirical data on law in practice was sought from criminal court cases and state compensation funds. The analysis consisted of comparing who can apply, what is needed to apply, and what is compensated. Major differences were found between countries. For example, the timeframe to apply for state compensation ranged between three months and 10 years, the numbers of applicants ranged from 10 to 1210, and decision times ranged between two months to ‘without delay’. And while the average offender compensation awarded in Spain was twice as high as in the Netherlands (€13,728 versus €6451), the likelihood of victims receiving the compensation in these two countries was 14% and 100%, respectively, due to lack of effective enforcement in Spain. Because of the substantial variation between countries, and with reference to the European Court of Justice’s 2020 judgment, it was concluded that most of the EU countries examined do currently not comply with the requirement to provide fair and appropriate compensation. It is recommended that accessibility should be improved and that more data is needed.
Calculating the Environmental Benefit of Reuse Platforms
Authors: Rückert André , Balkute Grita , Dornack Christina 
Published: April 2024

AbstractReuse platforms are contributing to the circular economy by hosting or mediating unwanted products or materials until new users are found. This saves products from premature disposal on one hand, and avoids new products purchase on the other. Translating this resource efficiency and waste minimisation into GHG emission avoidance can support the relevance of reuse platforms in fostering a circular economy and promoting climate protection through resource preservation and potential GHG emission reductions. The authors present the analysis of existing reuse methodologies and point out incomplete considerations in terms of LCA modules and Corporate Carbon Footprint of reuse platforms [11]. This paper fills the gap in literature by formulating a holistic methodology for calculating benefits of reuse in terms of GHG emissions for the whole reuse sector and provides an application guide for 4 different types of reuse platforms. This new approach is then illustrated by applying it to a reuse enterprise Zündstoffe Materialvermittlung Dresden (ZUMADD) case study, for which data was gathered for 2 years under Dresden Future City Project (2019–2022). The results show that the project could save 13,301 kg of CO2e emissions through mediating 6,213 kg of material for reuse.
Design of Logistics Sorting Algorithm Based on Deep Learning and Sampling Evaluation
Authors: Feng Chun 
Published: April 2024

AbstractThe advancement of automation and Internet of Things technology has bolstered the automation process in the logistics sector. To address the challenge of localizing and generating grasping positions for intelligent robots in logistics sorting, this study developed an algorithm for item localization. The algorithm relies on enhanced YOLOv3 target detection and instance segmentation technologies to design a position generation algorithm for the robotic arm, which was further refined using sampling evaluation. The experimental results showed that the research-improved target detection model performed better on different datasets in terms of F1 value, accuracy and Area under the Curve (AUC) metrics, with the highest values of 95.77%, 94.05%, and 91.30%, respectively, which was effective in localizing document-like parcels. Meanwhile, the instance segmentation algorithm with fused features took significantly lower values than other target detection algorithms in terms of average absolute value error and root mean square error. The accuracy rate and all-class average precision value were higher than other target detection models, and the fluctuation of the value taken was smaller, which was suitable for logistics parcel localization. The position generation model, based on a sampling evaluation, yielded significantly different values compared to other algorithms. The relative position error and absolute trajectory error indexes were all below 0.4. The combined indexes of grasping accuracy and error indicate the superior performance of the research-designed algorithms. They can effectively enhance the sorting effects of real logistics scenarios. This research contributes to the improvement of the automated sorting system through the use of visual robotic arm technology. Additionally, it encourages the development of logistics automation and the establishment of intelligent logistics factories.
Evolving Epidemiology of Pediatric Respiratory Syncytial Virus (RSV) Cases Around COVID-19 Pandemic: Impact and Clinical Insights, Retrospective Cohort Study
Authors: Gashgarey Deema , Alsuhaibani Mohammed , Alhuthil Raghad , Alhabshan Hattan , Alabdulqader Azzam , Badran Rakan , Balhmar Abdulaziz , Aldawood Haifa , AlBanyan Esam A. , AlGhamdi Salem , AlJumaah Suliman , AlYabes Ohoud , Al-Hajjar Sami 
Published: April 2024

Abstract
Background
The burden of respiratory syncytial virus (RSV) in high-risk pediatric patients remains unclear. Therefore, this study aims to characterize pediatric RSV cases from January 2019 to December 2022 and assess the impact of the COVID-19 pandemic on RSV burden and RSV-related outcomes. In addition, examining factors influencing RSV-related hospitalization.

Methods
This is a retrospective study that included pediatric patients (aged 14 and below) who presented at King Faisal Specialist Hospital and Research Centre (KFSHRC) in Riyadh, Saudi Arabia with RSV infection identified using real-time reverse-transcriptase polymerase chain reaction assays. Statistical analyses were performed using STATA.

Results
A total of 885 RSV cases were reported; (56.05%) were males and (43.95%) were females with a median age of 24 months [interquartile range (IQR): 11–60]. 534 (60.34%) required hospitalization. As for RSV seasonality, there was a significant increase in RSV prevalence following the COVID-19 pandemic, escalating from 205 cases in 2019 to 425 cases in 2022. The increase in 2022 was evident in January and persisted from September to December, reaching its peak during the months of October (20.70% − 88 cases) and November (32.00% − 136 cases). About (27.12%) of RSV infected children were medically free patients. Symptomatic patients exhibited various clinical manifestations, with ventilation necessary in (13.11%) of cases. Further analysis revealed significant changes in RSV-related outcomes post-COVID-19, including a decrease in hospitalization rates, an increase in medically free patients, and a lower need for ventilation (p < 0.05). Notably, a significant proportion of RSV admissions occurred within the first 6 months of life, with (77.69%) in the age group of 0 to 5 months. In addition, previous RSV infection, prematurity, low birth weight, renal disease, congenital heart disease, endocrine/metabolic disease, neuro/neuromuscular diseases, and genetic disorders were positively associated with hospitalization (P < 0.05). Interestingly, asthma and bone marrow transplantation were negatively associated with hospitalization (P < 0.05). The mortality rate in this study is (2.37%) (21/885).

Conclusion
This study provides a comprehensive understanding of the demographic and clinical factors influencing RSV outcomes, highlighting the impact of the COVID-19 pandemic and shedding light on potential risk factors for RSV-related hospitalization. The highest prevalence of RSV during (September to January), aligning with global patterns and emphasizing the importance of timing in preventive strategies.
Determinants of commercialization of African Indigenous Vegetables among smallholder farmers in Bungoma County, Kenya
Authors: Nambafu Scolastica Nanjala , Bett Hillary , Sibiko Kenneth Waluse 
Published: April 2024

AbstractRising awareness of various lifestyle diseases and illnesses has led to an increased understanding of healthy eating habits, the increased demand for African Indigenous Vegetables (AIVs), and a strict healthier diet in Kenya. Apart from the awareness about the benefits of consuming the AIVs, their commercialization is still low due to how producers are less informed and not connected to market actors beyond their community. On the other hand, the literature on factors that influence commercialization is still limited. The purpose of this study is to sought to reduce that gap by determining the factors that influenced the commercialization of African Indigenous Vegetables (AIVs) among smallholder farmers in Bungoma County. In order to identify 384 respondents from whom data was collected, multistage sampling was used through personally administered questionnaires. The fractional regression model (FRM) was used to determine factors influencing the commercialization of AIVs in Bungoma County. The FRM results indicate that the eight explanatory variables included in the model significantly influenced the commercialization of AIVs among smallholder farmers. These variables are the gender of the farmer, land size, mode of payment, distance to the markets, AIV yields, AIV cost of production, duration to reach the market, and value addition. The researcher recommended that all gender should be engaged in the commercialization of AIVs and that the government to put in place policies and regulations that support the commercialization of AIVs, as they support other cash crops, which would equally enhance the quality and quantity improvement of AIVs that are distributed to various markets.
Signature-based validation of real-world economic scenarios
Authors: Andrès Hervé , Boumezoued Alexandre , Jourdain Benjamin 
Published: April 2024

AbstractMotivated by insurance applications, we propose a new approach for the validation of real-world economic scenarios. This approach is based on the statistical test developed by Chevyrev and Oberhauser ((2022)Journal of Machine Learning Research,23(176), 1–42.) and relies on the notions of signature and maximum mean distance. This test allows to check whether two samples of stochastic processes paths come from the same distribution. Our contribution is to apply this test to a variety of stochastic processes exhibiting different pathwise properties (Hölder regularity, autocorrelation, and regime switches) and which are relevant for the modelling of stock prices and stock volatility as well as of inflation in view of actuarial applications.
Rereading the Wages for Housework Campaign: Feminist Degrowth Reflections on Social Reproduction, Commons, and a Care Income
Authors: Dengler Corinna 
Published: April 2024

AbstractThis paper explores how debates on wages for housework in the 1970s contribute to current discourses on redefining, redistributing, and revaluing care. More specifically, this paper asks: How does a rereading of the international Wages for Housework (WfH) campaign contribute to feminist degrowth debates on commoning care and a care income? In trying to answer this question, I revisit original literature and interpretations of WfH and show that, as a Marxist feminist political perspective, the aim of the campaign ventured beyond the monetization of care. Subsequently, I elaborate on the now divergent ideas of Selma James and Silvia Federici, two of the campaign's main founders, of how to re-actualize the transformative aim of the campaign. Their two proposals, namely, a care income and reproductive commons, are introduced, brought into conversation with each other, and critically discussed against the background of Nancy Fraser's distinction between affirmative and transformative strategies of transformation. Exploring the fertile tension between a care income and commoning care, I draw preliminary conclusions on what feminist degrowth can learn from WfH regarding a social-ecological transformation to a more socially just and ecologically sound economic system.
Law’s Logistical Media: The Installation of the File System in the Postwar Japanese Prosecutor’s Office
Authors: Inoue Miyako 
Published: April 2024

AbstractThis article traces the fraught history of the file system’s adoption by the Japanese Public Prosecutor’s Office (PPO) from the late 1940s to the early 1950s, when the U.S. General Headquarters (GHQ), the Supreme Commander for the Allied Powers, decentralized the PPO’s power and transformed it into a “democratic” judicial agency. This is also a postwar history of the introduction of Taylorism-derived scientific management to white collar office work and Weberian visions of bureaucratic rationality into government offices, as part of the democratization of public administration steered by various sections within GHQ. Among the key changes was a guarantee of the right to receive a “speedy trial.” The essay argues that, while that guarantee was meant to secure human-rights protections for the accused, the file system introduced to the PPO translated the constitutional imperative of the rights of the accused into the pursuit of efficient scientific management, in which democracy was an operationalized socio-technical achievement. This logistical channel led to the co-emergence of democracy and modern rational bureaucracy, with each evincing mutual cause and effect. American reforms invested technicality with the promise of “democracy,” but as this essay shows, senior Japanese officials envisioned it as a means to rebuild a centralized information network.
Invasive haemodynamics predict outcomes in paediatric pulmonary artery hypertension
Authors: Natarajan Rupesh Kumar , Rodgers Nathan , Narasimhan Shanti , Ambrose Matthew , Rothman Abraham , Shyne Michael , Evans Michael , Aggarwal Varun 
Published: April 2024

AbstractBackground:Invasive haemodynamics are often performed for initiating and guiding pulmonary artery hypertension therapy. Little is known about the predictive value of invasive haemodynamic indices for long-term outcomes in children with pulmonary artery hypertension. We aimed to evaluate invasive haemodynamic data to help predict outcomes in paediatric pulmonary artery hypertension.Methods:Patients with pulmonary artery hypertension who underwent cardiac catheterisation (2006–2019) at a single centre were included. Invasive haemodynamic data from the first cardiac catheterisation and clinical outcomes were reviewed. The combined adverse outcome was defined as pericardial effusion (due to right ventricle failure), creation of a shunt for pulmonary artery hypertension (atrial septal defect or reverse Pott’s shunt), lung transplant, or death.Results:Among 46 patients with a median [interquartile range (IQR)] age of 13.2 [4.1–44.7] months, 76% had CHD. Median mean pulmonary artery pressure was 37 [28–52] mmHg and indexed pulmonary vascular resistance was 6.2 [3.6–10] Woods units × m2. Median pulmonary artery pulsatility index was 4.0 [3.0–4.7] and right ventricular stroke work index was 915 [715–1734] mmHg mL/m2. After a median follow-up of 2.4 years, nine patients had a combined adverse outcome (two had a pericardial effusion, one underwent atrial level shunt, one underwent reverse Pott’s shunt, and six died). Patients with an adverse outcome had higher systolic and mean pulmonary artery pressures, higher diastolic and transpulmonary pressure gradients, higher indexed pulmonary vascular resistance, higher pulmonary artery elastance, and higher right ventricular stroke work index (p < 0.05 each).Conclusion:Invasive haemodynamics (especially mean pulmonary artery pressure and diastolic pressure gradient) obtained at first cardiac catheterisation in children with pulmonary artery hypertension predicts outcomes.
Loss of hematopoietic progenitors heterogeneity is an adverse prognostic factor in lower-risk myelodysplastic neoplasms
Authors: Dussiau Charles , Comont Thibault , Knosp Camille , Vergnolle Inès , Bravetti Clotilde , Canali Alban , Houvert Amandine , Largeaud Laetitia , Daveaux Christian , Zaroili Laila , Friedrich Chloé , Boussaid Ismaël , Zalmai Loria , Almire Carole , Rauzy Odile , Willems Lise , Birsen Rudy , Bouscary Didier , Fontenay Michaela , Kosmider Olivier , Chapuis Nicolas , Vergez François 
Published: April 2024

AbstractMyelodysplastic neoplasms (MDS) are characterized by clonal evolution starting from the compartment of hematopoietic stem and progenitors cells (HSPCs), leading in some cases to leukemic transformation. We hypothesized that deciphering the diversity of the HSPCs compartment may allow for the early detection of an emergent sub-clone that drives disease progression. Deep analysis of HSPCs repartition by multiparametric flow cytometry revealed a strong disorder of the hematopoietic branching system in most patients at diagnosis with different phenotypic signatures closely related to specific MDS features. In two independent cohorts of 131 and 584 MDS, the HSPCs heterogeneity quantified through entropy calculation was decreased in 47% and 46% of cases, reflecting a more advanced state of the disease with deeper cytopenias, higher IPSS-R risk and accumulation of somatic mutations. We demonstrated that patients with lower-risk MDS and low CD34 + CD38+HSPCs entropy had an adverse outcome and that this parameter is as an independent predictive biomarker for progression free survival, leukemia free survival and overall survival. Analysis of HSPCs repartition at diagnosis represents therefore a very powerful tool to identify lower-risk MDS patients with a worse outcome and valuable for clinical decision-making, which could be fully integrated in the MDS diagnostic workflow.
The characteristic patterns of individual brain susceptibility networks underlie Alzheimer’s disease and white matter hyperintensity-related cognitive impairment
Authors: Chen Haifeng , Xu Jingxian , Li Weikai , Hu Zheqi , Ke Zhihong , Qin Ruomeng , Xu Yun 
Published: April 2024

AbstractExcessive iron accumulation in the brain cortex increases the risk of cognitive deterioration. However, interregional relationships (defined as susceptibility connectivity) of local brain iron have not been explored, which could provide new insights into the underlying mechanisms of cognitive decline. Seventy-six healthy controls (HC), 58 participants with mild cognitive impairment due to probable Alzheimer’s disease (MCI-AD) and 66 participants with white matter hyperintensity (WMH) were included. We proposed a novel approach to construct a brain susceptibility network by using Kullback‒Leibler divergence similarity estimation from quantitative susceptibility mapping and further evaluated its topological organization. Moreover, sparse logistic regression (SLR) was applied to classify MCI-AD from HC and WMH with normal cognition (WMH-NC) from WMH with MCI (WMH-MCI).The altered susceptibility connectivity in the MCI-AD patients indicated that relatively more connectivity was involved in the default mode network (DMN)-related and visual network (VN)-related connectivity, while more altered DMN-related and subcortical network (SN)-related connectivity was found in the WMH-MCI patients. For the HC vs. MCI-AD classification, the features selected by the SLR were primarily distributed throughout the DMN-related and VN-related connectivity (accuracy = 76.12%). For the WMH-NC vs. WMH-MCI classification, the features with high appearance frequency were involved in SN-related and DMN-related connectivity (accuracy = 84.85%). The shared and specific patterns of the susceptibility network identified in both MCI-AD and WMH-MCI may provide a potential diagnostic biomarker for cognitive impairment, which could enhance the understanding of the relationships between brain iron burden and cognitive decline from a network perspective.
Democratic quality and excess mortality during the COVID-19 pandemic
Authors: Martín-Martín José-Jesús , Correa Manuel , Rojo-Gallego-Burín Araceli-María , Sánchez-Martínez María-Teresa , Delgado-Márquez Luisa , Ortega-Almón María-Ángeles 
Published: April 2024

AbstractThe aim of this study is to analyse the relationship between democratic quality and excess mortality produced in the year 2020 before COVID-19 vaccinations were generalised. Using cross-sectional data from 80 countries on five continents, multiple linear regression models between excess mortality, the general democracy index and its disaggregation into five categories: electoral process and pluralism, government functioning, political participation, political culture and civil liberties were estimated. The analysis also considered, public health spending per capita, overweight inhabitants, the average temperature of the country, population over 65 years of age, The KOF Globalisation Index, and the Gross National Income per capita as control variables. It was possible to establish a strong inverse association between excess mortality per million inhabitants and the general democracy index and four of its five categories. There was a particularly strong relationship between excess mortality and the political culture dimension (−326.50, p < 0.001). The results suggest that the higher the democratic quality of the political institutions of a State and particularly of their political culture the more improved the response and management of the pandemic was in preventing deaths and protecting their citizens more effectively. Conversely, countries with lower democracy index values have higher excess mortality. Quality democratic political institutions provide more effective public health policies in the face of the COVID-19 pandemic.
Prevalence, distribution characteristic and risk factors of lumbar vertebral axial rotation in patients with lumbar disc herniation: a retrospective study
Authors: Zhao Shixian , Yao Zhou , Wang Qiushi , Huang Peipei , Tu Zhipeng , Xie Fang , Ye Bin , Ma Yachao , Wang Zhe , Luo Zhuojing , Hu Xueyu 
Published: April 2024

AbstractThis retrospective study aimed to investigate the impact of lumbar disc herniation (LDH) on vertebral axial rotation (VAR) in the lumbar spine, focusing on both close and distant neighboring vertebrae. A total of 516 patients with LDH and an equal number of healthy individuals were included in the study, matched for age and gender. The degree of axial rotation for each lumbar spine vertebra was assessed using the Nash–Moe index. The results revealed that the prevalence of VAR in the lumbar spine was significantly higher in the LDH group compared to the Control group (65.7% vs 46.7%, P < 0.001). Among the LDH group, the L2 vertebra had the highest frequency of VAR (49.5%), followed by L1 (45.1%), and then L3 to L5 (33.6%, 8.9%, 3.1%, respectively). A similar pattern was observed in the Control group (L2, 39.8%; L1, 34.6%; L3, 23.2%; L4, 3.1%; L5, 0.8%). Furthermore, the study found that disc herniation was associated with a higher incidence of VAR not only in close neighboring vertebrae but also in distant neighboring vertebrae. This indicates that the biomechanical influence of LDH extends beyond just the immediate adjacent vertebrae. To identify potential risk factors for VAR in LDH patients, multivariate analysis was performed. The results revealed that age was an independent risk factor for VAR (OR 1.022, 95% CI [1.011, 1.034], P < 0.001). However, the duration of symptoms and presence of back pain were not found to be significant risk factors for VAR.