bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elevated hemoglobin levels in renal transplant recipients with polycystic kidney disease versus other etiologies: exploring mechanisms and implications for outcomes
Authors: Rothem Yael , Askenasy Enosh , Siman-Tov Maya , Davidov Yana , Hoffman Tomer , Mor Eytan , Hod Tammy 
Published: March 2024

Abstract
Background
Autosomal dominant polycystic kidney disease (ADPKD)-related end-stage kidney disease (ESKD) often necessitates transplantation. However, the impact of ADPKD on post-transplant outcomes, specifically hemoglobin levels, remains unknown.

Methods
We retrospectively analyzed 513 Kidney Transplant Recipients (KTRs), of whom 81 had ESKD due to ADPKD (20 with pre-transplant native nephrectomy and 61 without). Hemoglobin levels were evaluated at multiple time intervals post-transplant.

Results
Kidney transplant recipients with ADPKD vs. KTRs with ESKD due to other causes exhibited significantly higher hemoglobin levels in repeated measurement analysis. Multivariable analyses confirmed ADPKD as an independent predictor for elevated hemoglobin levels. In a multivariable logistic regression analysis, the odds for maximum hemoglobin > 15 mg/dL at 3–12 months post-transplant were more than twice as high in ADPKD patients vs. all the other KTRs (Odds Ratio [OR] 2.31, 95% Confidence Interval [CI] 1.3–4.13, p < 0.001). Pre-transplant native nephrectomy revealed a trend toward lower hemoglobin levels. Elevated hemoglobin levels were linked to improved estimated glomerular filtration rate (eGFR) at one year post-transplant. Patient survival was enhanced among KTRs with ADPKD compared to other ESKD causes.

Conclusions
Kidney transplant recipients with ADPKD exhibited elevated hemoglobin levels post-transplant, possibly due to prolonged native kidney erythropoietin production. These elevated hemoglobin levels were linked to improved outcomes, including allograft function and patient survival. Future research should further investigate the underlying mechanisms driving favorable ADPKD KTR outcomes.

Graphical abstract
Examining the association between serum galactose-deficient IgA1 and primary IgA nephropathy: a systematic review and meta-analysis
Authors: Vaz de Castro Pedro Alves Soares , Amaral Arthur Aguiar , Almeida Mariana Godinho , Selvaskandan Haresh , Barratt Jonathan , Simões e Silva Ana Cristina 
Published: March 2024

Abstract
Background
IgA nephropathy (IgAN) is a common primary glomerular disease. The O-glycosylation status of IgA1 plays a crucial role in disease pathophysiology. The level of poorly-O-galactosylated IgA1, or galactose-deficient IgA1 (Gd-IgA1), has also been identified as a potential biomarker in IgAN. We sought to examine the value of serum Gd-IgA1 as a biomarker in IgAN, by investigating its association with clinical, laboratory, and histopathological features of IgAN.

Methods
The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations and was registered in PROSPERO (CRD42021287423). The literature search was conducted in PubMed, Web of Science, Cochrane, and Scopus, and the selected articles were evaluated for eligibility based on predefined criteria. The methodological quality of the studies was assessed using the Newcastle–Ottawa Scale. Statistical analysis was performed to calculate effect sizes and assess heterogeneity among the studies.

Results
This review analyzed 29 out of 1,986 studies, conducted between 2005 and 2022, with participants from multiple countries. Gd-IgA1 levels were not associated with age and gender, while associations with hypertension, hematuria, and proteinuria were inconsistent. In the meta-analyses, a correlation between serum Gd-IgA1 and estimated glomerular filtration rate was identified, however, the relationships between Gd-IgA1 levels and chronic kidney disease (CKD) stage and progression to kidney failure were inconsistent.

Conclusions
Serum Gd-IgA1 levels were not associated with validated prognostic risk factors, but were negatively correlated with kidney function. Further research in larger studies using standardized assays are needed to establish the value of Gd-IgA1 as a prognostic risk factor in IgAN.

Graphical abstract
Dynamic feedback algorithm based on spatial corner fitness for solving the three-dimensional multiple bin-size bin packing problem
Authors: Liu Yi , Jiang Xiaoyun 
Published: March 2024

AbstractTo improve cargo loading efficiency and achieve diverse needs of companies for the loading process, this paper innovatively establishes a multiple objective mixed integer programming model for the three-dimensional multiple bin-size bin packing problem (3D-MBSBPP). The model is designed to maximize container space utilization rate and cargo load balance, minimize container usage costs, and incorporates some practical constraints. On this basis, we propose a novel dynamic feedback algorithm based on spatial corner fitness (SCF_DFA) to solve this model, which consists of three stages. Specifically, Stage 1 employs a heuristic algorithm based on spatial corner fitness to optimize the search of the remaining spaces. Stage 2 employs a container type selection algorithm to dynamically adjust and optimize container types. Stage 3 uses an improved genetic algorithm to improve the quality of the solutions of the first two stages. We demonstrate the effectiveness of the proposed algorithm through comparative experiments on benchmark instances, and apply it to solve the real-life instances for the 3D-MBSBPP. The results show that the proposed algorithm can make the average container space utilization rate reach 85.38%, which is 1.48% higher than that of baseline method, while the loading results obtained are more balanced, indicating the advantages of the SCF_DFA in solving 3D-MBSBPP. Furthermore, we conduct ablation experiments to confirm the effectiveness of each component within the algorithm.
Ground subsidence monitoring in based on UAV-LiDAR technology: a case study of a mine in the Ordos, China
Authors: An Shikai , Yuan Liang , Xu Ying , Wang Xiao , Zhou Dawei 
Published: March 2024

AbstractGround subsidence in Western coal mining areas is characterized by rapid deformation, extensive damage, and a wide range of impacts. The conventional observation methods are inappropriate for surface damage monitoring in high-intensity mining areas of Western China. Therefore, it is a crucial problem to quickly, accurately, and comprehensively monitor the ground subsidence and environmental damage caused by high-intensity and large-scale mining. In this study, we propose a monitoring method for the ground subsidence of high-intensity mining with Unmanned Aerial Vehicle Lidar (UAV-LiDAR) measurement technology. Taking a mine in Ordos of China as an example, the Digital Elevation Model (DEM) is obtained by Kriging Interpolation of the ground point cloud from UAV-LiDAR. Then, the multi-stage DEM differential processing is employed to get ground subsidence. Finally, the median and bilateral filters combine for denoise to obtain the high-precision ground subsidence. The results show that the accuracy of the ground DEM generated by UAV-LiDAR is 15 mm and the mean square error of the ground subsidence basin is 39 mm. UAV-LiDAR technology can quickly obtain abundant surface data and obtain high-precision ground subsidence. Therefore, the application of this technology and method in subsidence monitoring in mining areas is feasible. And it can provide support for ecological environment monitoring, land reclamation, and ecological restoration in mining areas. The research results can provide a useful basis for monitoring the surface damage of coal mining in Western China.
Global asymptotic stability of endemic equilibria and stability of traveling waves for a diffusive SIR epidemic model with logistic growth
Authors: Shimojo Masahiko , Tanaka Yuya 
Published: March 2024

AbstractThis paper deals with the asymptotic behavior of solutions for the diffusive epidemic model with logistic growth. In the first part, we consider the initial boundary value problem on the bounded domain and derive the stabilization of the solutions of the reaction–diffusion system to a constant equilibrium. In the second part, we consider the initial value problem on$${\mathbb {R}},$$R,and derive the stability of forced waves under certain perturbations of a class of initial data.
The Agreement and Correlation Between Shear-Wave Elastography, Myotonometry, and Passive Joint Stiffness Measurements: A Brief Review
Authors: Ličen Urška , Opara Manca , Kozinc Žiga 
Published: March 2024

Abstract
This brief review article was conducted to summarize the findings regarding correlation and agreement between different methods to assess muscle stiffness (shear wave elastography (SWE), myotonometry, and passive joint stiffness measurements). Muscle stiffness, an important biomechanical characteristic, influences joint flexibility, postural stability, injury risk, and athletic performance. SWE provides insights into tissue elasticity by measuring the propagation speed of shear waves, while myotonometry assesses stiffness through induced muscle oscillations. Passive joint stiffness measurements offer a holistic perspective, capturing the resistance of the entire joint to movement. However, distinguishing the contributions of muscular and non-muscular tissues remains a challenge in this method. The article highlights the variability in the correlation between these methodologies, influenced by factors such as muscle length, age, and examiner technique. While some studies report good agreement between SWE and myotonometry, others note discrepancies, underscoring the need for careful method selection based on the research or clinical context. This review highlights the complexity of assessing muscle stiffness and the necessity of a nuanced approach in interpreting data from different measurement techniques, aiming to guide researchers and clinicians in their choice of method for a precise and accurate evaluation of muscle stiffness.
Predictive modeling of dining facility waste by material type across time and geography
Authors: Rice Abigail , Urban Angela , Davidson Paul 
Published: March 2024

AbstractThe increasing rate of global solid waste generation is startling. This is exacerbating the challenge of decreasing solid waste generation to reduce disposal in landfills. U.S. Army installations offer a unique qualitative and quantitative dataset across a span of geographical locations. Modeling prediction capability of dining facility (DFAC) solid waste streams using data from 11 Army installations was investigated to demonstrate aggregate building and material type generation forecasting. Solid waste generation data were collected, quantified, and categorized for diversion potential (e.g., source reduction, reuse, recycling, composting, etc.) of materials currently landfilled. Over one week, samples from one day of DFAC operations were collected for each installation. Materials from the samples were manually separated into 22 categories, weighed, and recorded. Results identified many solid waste stream materials with diversion potential. Five material types were down selected to construct and validate the linear regression model. The material types down selection was based on available data robustness and applicability beyond military contexts. A linear regression model was constructed for five material and building type combinations to avoid multiplication factor errors of coefficients for each independent variable. Results were statistically significant (p-value ≤ 0.05) for four of five modeling combination predictions. These results demonstrate the unique capability of predicting solid waste generation for the four statistically significant model combinations. Each of the four statistically significant model combinations differed in adjusted R2 values, ranging from 0.988 to 0.996. This study provides five linear regression model combinations with predictive power that could reduce the labor- and cost-intensive process of characterizing waste streams while increasing data availability across the continental U.S. to focus targeted source reduction efforts for dining settings.
“Collaborators”, “Guides”, “Facilitators”, and “Advocates”: Using a Spatial Lens to Understand the Roles of NGO Practitioners in Supporting Youth Participation
Authors: Douglas Annie 
Published: March 2024

AbstractYouth participation has become an increasing focus for international development programs in the Global South. However, in the home, as well as in the community and formal decision-making spaces, traditional norms often dictate that young people are expected to refrain from raising their views. This presents a dilemma for NGO practitioners who are working with communities on youth participation initiatives. In this paper, I explore the valuable insights of a small number of NGO practitioners who face this dilemma in their practice. I argue that a spatial lens is critical to understanding the key challenges and complexities of youth participation. Particularly, it is essential to understand that practitioners can contribute to the distanciation of the resources, discourses, and practices that enable young people’s participation in intergenerational spaces with adults. I suggest that NGO practitioners can play four key roles, as collaborators, guides, facilitators, and advocates, in different spaces and contexts. By taking on these various roles, they can contribute to young people’s empowered participation. While this study is focused on the context of international development initiatives, the findings can also be applied broadly to initiatives focused on youth participation.
GLGNet: light field angular superresolution with arbitrary interpolation rates
Authors: Fang Li , Wang Qian , Ye Long 
Published: March 2024

AbstractAcquiring high-resolution light fields (LFs) is expensive. LF angular superresolution aims to synthesize the required number of views from a given sparse set of spatially high-resolution images. Existing methods struggle with sparsely sampled LFs captured with large baselines. Some methods rely on depth estimation and view reprojection, and are sensitive to textureless and occluded regions. Other non-depth based methods suffer from aliasing or blurring effects due to the large disparity. In addition, most methods require specific models for different interpolation rates, which reduces their flexibility in practice. In this paper, we propose a learning framework that overcomes these challenges by exploiting the global and local structures of LFs. Our framework includes aggregation across both the angular and spatial dimensions to fully exploit the input data and a novel bilateral upsampling module that upsamples each epipolar plane image while better preserving its local parallax structure. Furthermore, our method predicts the weights of the interpolation filters based on both subpixel offset and range difference, allowing angular superresolution at different rates with a single model. We show that our non-depth based method outperforms the state-of-the-art methods in terms of handling large disparities and flexibility on both real-world and synthetic LF images.
Beyond electoral performance: reviewing and advancing the literature on LGBTIQ+ political careers
Authors: Prearo Massimo , Trastulli Federico 
Published: March 2024

AbstractIn recent years, the rising number of LGBTIQ+ politicians across the world has been matched by an increase in academic attention on which factors foster or hinder their careers. Here, we provide a comprehensive analytical review of the relevant literature, with the goal of illustrating both its synergies and imbalances. We show that most of the existing evidence specifically concerns LGBTIQ+ politicians' electoral performance. Moreover, this knowledge has largely been produced in very similar contexts politically and socioculturally. Finally, we highlight the potential of investigating a number of additional factors that may impact LGBTIQ+ political careers, such as intersectional dynamics that may have a differentiated impact within this population. Future works could expand the scope of this literature by considering these elements and focussing more on the direct experience of LGBTIQ+ politicians.
Contrasting the semantic space of ‘shame’ and ‘guilt’ in English and Japanese
Authors: Diegoli Eugenia , Öhman Emily 
Published: March 2024

AbstractThis article sheds light on the significant yet nuanced roles of shame and guilt in influencing moral behaviour, a phenomenon that became particularly prominent during the COVID-19 pandemic with the community’s heightened desire to be seen as moral. These emotions are central to human interactions, and the question of how they are conveyed linguistically is a vast and important one. Our study contributes to this area by analysing the discourses around shame and guilt in English and Japanese online forums, focusing on the terms shame, guilt, haji (‘shame’) and zaiakukan (‘guilt’). We utilise a mix of corpus-based methods and natural language processing tools, including word embeddings, to examine the contexts of these emotion terms and identify semantically similar expressions. Our findings indicate both overlaps and distinct differences in the semantic landscapes of shame and guilt within and across the two languages, highlighting nuanced ways in which these emotions are expressed and distinguished. This investigation provides insights into the complex dynamics between emotion words and the internal states they denote, suggesting avenues for further research in this linguistically rich area.
The Right to Occupy: Moral Economies of Occupation and Social Housing in Urban Brazil
Authors: Burdick John , Garmany Jeff , Gurr Mel 
Published: March 2024

AbstractCurrent research on Brazilian vacant buildings where squatters live tends to paint a familiar picture: the occupants are united in struggle, resolute in their understanding that squatting is within their constitutional, legal, and natural rights. However, drawing on new data from Rio de Janeiro, we argue that researchers have an incomplete understanding of this process. Our findings reveal considerable ideological variation among occupants regarding their rights to occupy abandoned property, including their understandings of private ownership versus the social function of property. In our analysis, we explain this ideological variation through what we call “moral economies of occupation.” Specifically, we focus on lived experiences of losing or being excluded from secure housing and the remembered role that the state played in that lived experience. This, we argue, is crucial for understanding why some occupants believe in their rights to squat while others doubt it.
Transnational Visual Parodies: Political Cartoons of Perón in the Chilean Satirical Magazine Topaze, 1943–1958
Authors: Acuña Pedro 
Published: March 2024

AbstractAlthough a few historians have discussed the influence of Peronism in Chile, research has been guided mostly by diplomatic studies and political history, which, though important, are less convincing for historians interested in logics of media representation, particularly from the satirical press. This article explores visual representations of Argentina’s president Juan Perón (1946–1955) in the Chilean magazine Topaze. By discussing and contextualizing a series of images produced by Chilean cartoonists, this study provides new insights into the important role played by the press in shaping anti-Peronist sensibilities and discrediting Perón within Chilean domestic politics. Studying the impact of Peronism in the region—particularly in neighboring countries such as Chile—is useful for thinking about Peronism as a transnational phenomenon with multiple meanings outside Argentina.
HSP gene superfamily in Aspongopus chinensis Dallas: unravelling identification, characterisation and expression patterns during diapause and non-diapause stages
Authors: Ma Xinyi , Yin Zhiyong , Li Haiyin , Guo Jianjun 
Published: March 2024

AbstractAspongopus chinensis Dallas 1851, an insect of important economic value, faces challenges in artificial breeding due to mandatory diapause and limited access to wild resources. Heat shock proteins (Hsps) are thought to influence diapause in insects, but little is known about their role in A. chinensis during diapause. This study used genomic methods to identify 25 Hsp genes in A. chinensis, including two Hsp90, 14 Hsp70, four Hsp60 and five small Hsp genes, were located on seven chromosomes, respectively. The gene structures among the same families are relatively conserved. Meanwhile, the motif compositions and secondary structures of A. chinensis Hsps (AcHsps) were predicted. RNA-seq data and fluorescence quantitative PCR analysis showed that there were differences in the expression patterns of AcHsps in diapause and non-diapause stages, and AcHsp70-5 was significantly differentially expressed in both analysis, which was enriched in the pathway of response to hormone. All the results showed that Hsps play an important role in the diapause mechanism of A. chinensis. Our observations highlight the molecular evolution of the Hsp gene and their effect on diapause in A. chinensis.
Gender-Responsive Public Procurement in Africa: Barriers and Challenges
Authors: Williams Sope 
Published: March 2024

AbstractPublic procurement is often used to achieve policy goals beyond the purchase of the required goods and services. These goals include the economic advancement of minorities, the promotion of fair labour practices and climate action. In the last two decades, many countries have used public procurement to advance gender equality. This is referred to as gender-responsive procurement and is often implemented through the award of public contracts to women-owned businesses. While many countries have legal provisions designed to increase the award of public contracts to women, gender-responsive procurement is extremely limited and women-owned businesses are not fully integrated into public sector supply chains. This is unfortunate, given that gender-responsive procurement can improve women's economic empowerment, with implications for sustainable development. This article adopts a gender equality and women's economic empowerment lens to examine the legal, policy and cultural barriers to gender-responsive procurement and recommends measures to improve the award of public contracts to women-owned businesses.
Paying Managers of Complex Portfolios: Evidence on Compensation and Performance from Endowments
Authors: Binfarè Matteo , Harris Robert S. 
Published: March 2024

Abstract
We examine compensation for endowment Chief Investment Officers (CIOs) overseeing portfolios with significant allocations to alternatives. We find widespread use of bonuses and that large endowments with high alternative allocations hire CIOs with stronger backgrounds, pay them more, and have higher pay-for-performance sensitivity. We find weak evidence of a relationship between compensation and future performance. Our results align with contract theory predictions but differ from empirical findings on pension funds. Endowments pay CIOs more, rely more on bonuses, attract more experienced professionals, and have lower turnover than pensions. This suggests more effective talent management compared to politically influenced public pensions.