bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation of revision rate of unicompartmental knee arthroplasty with total knee arthroplasty: a meta-analysis of clinical studies and worldwide arthroplasty registers
Authors: Obermayr Stephan , Klasan Antonio , Rasic Laura , Hauer Georg , Leitner Lukas , Leithner Andreas , Sadoghi Patrick 
Published: October 2024

Abstract
Introduction
The purpose of this study was to elucidate differences and similarities in revision rates amongst studies and national registers featuring total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA). Thereby comparability and reproducibility between study and register findings should be created.

Materials and Methods
Clinical studies published between 2004 and September 2023 involving TKA or UKA were reviewed for total arthroplasty numbers, revision rates and demographic data. Findings were calculated as “revisions per 100 component years (CY)” and divided according to the nationality of the center. National arthroplasty registers were searched for numbers of arthroplasties and revisions alongside with demographic data. Revision rates in registers were compared to one another and comparison to revision rates from collected studies was drawn.

Results
After evaluation, 98 studies and seven registers met our inclusion criteria and were included in this study. Cumulative percent revision rate in studies was 3.35% after a mean follow-up of 5.7 years, corresponding to 0.71 revisions per 100 CY for TKA and 7.67% after a mean follow-up of 4.9 years, corresponding to 1.3 revisions per 100 CY for UKA. Registers showed mean overall revision rates of 5.63% for TKA and 11.04% for UKA.

Conclusions
A positive correlation of revision rates of TKA and UKA in studies and registers was found, with overall revision rates of UKA comparted to TKA being 2.29 times higher in clinical studies and 1.96 times higher in registers. Revision rates in registers were 1.56 times higher than presented in clinical studies.
Foveal hyper-reflective vertical lines detected by optical coherence tomography: Imaging features, literature review and differential diagnoses
Authors: Rein Adi Porat , Totah Hashem , Brosh Koby , Zadok David , Hanhart Joel 
Published: October 2024

Abstract
Purpose
To describe foveal hyper-reflective vertical lines (FVL) as a specific morphological finding on structural spectral-domain optical coherence tomography (SD-OCT) and discuss its differential diagnosis.

Methods
Observational case series. Ten patients (10 eyes) with FVL were meticulously examined at the Ophthalmology Department, Shaare Zedek Medical Center, Jerusalem, Israel. Detailed analysis of SD-OCT findings, clinical records, and retinal imaging was conducted to establish correlations between FVL and various underlying conditions.

Results
We established the following list of settings, supported by the clinical context and ancillary investigations, in which SD-OCT displayed FVL: inflammation (1 eye), mechanical (1 eye), resorption of fluids of various origins (4 eyes), macular telangiectasia (1 eye), age-related macular degeneration (1 eye), diabetic retinopathy (1 eye) and scar (1 eye).

Conclusions
FVL can be observed in various underlying conditions. Recognition of this pattern and formulation of an appropriate differential diagnosis is of interest for correctly diagnosing and treating patients whose structural OCT harbors this yet overlooked finding.
A machine learning approach to fill gaps in dendrometer data
Authors: Kuhl Eileen , Ziaco Emanuele , Esper Jan , Konter Oliver , Martinez del Castillo Edurne 
Published: October 2024

Abstract
Key message
The machine learning algorithm extreme gradient boosting can be employed to address the issue of long data gaps in individual trees, without the need for additional tree-growth data or climatic variables.

Abstract
The susceptibility of dendrometer devices to technical failures often makes time-series analyses challenging. Resulting data gaps decrease sample size and complicate time-series comparison and integration. Existing methods either focus on bridging smaller gaps, are dependent on data from other trees or rely on climate parameters. In this study, we test eight machine learning (ML) algorithms to fill gaps in dendrometer data of individual trees in urban and non-urban environments. Among these algorithms, extreme gradient boosting (XGB) demonstrates the best skill to bridge artificially created gaps throughout the growing seasons of individual trees. The individual tree models are suited to fill gaps up to 30 consecutive days and perform particularly well at the start and end of the growing season. The method is independent of climate input variables or dendrometer data from neighbouring trees. The varying limitations among existing approaches call for cross-comparison of multiple methods and visual control. Our findings indicate that ML is a valid approach to fill gaps in individual trees, which can be of particular importance in situations of limited inter-tree co-variance, such as in urban environments.
Enhancing groundwater management with GRACE-based groundwater estimates from GLDAS-2.2: a case study of the Almonte-Marismas aquifer, Spain
Authors: Guardiola-Albert C. , Naranjo-Fernández N. , Rivera-Rivera J. S. , Gómez Fontalva J. M. , Aguilera H. , Ruiz-Bermudo F. , Rodríguez-Rodríguez M. 
Published: October 2024

AbstractThe Almonte-Marismas aquifer, southwestern Spain, is a critical ecohydrogeological system that features extensive groundwater monitoring. This study investigates the utility of gravity recovery and climate experiment (GRACE) satellite data, specifically obtained from the global land data assimilation system (GLDAS) version 2.2, for assessing groundwater storage variations in the Almonte-Marismas aquifer. The presented research emphasizes the practical application of readily available GLDAS products that do not require data preprocessing. The study validates the GLDAS-2.2-based ready-to-use groundwater storage (GWS) time series by correlating it with precipitation and piezometric information, highlighting its effectiveness in medium-scale aquifers. The results reveal a strong agreement between GLDAS-2.2-derived GWS anomalies and in-situ measurements, confirming GLDAS-2.2’s potential for assessing aquifer depletion. The study discusses the consistency of seasonal variations in groundwater levels and GLDAS-2.2 data, emphasizing their close alignment with precipitation and pumping activities. Importantly, the study introduces GLDAS-2.2-derived volumetric groundwater storage (VGWS) as a valuable calibration parameter for numerical groundwater flow models, enhancing their accuracy over time. Moreover, the analysis reveals disparities in annual recharge values between GLDAS-2.2-derived data and the soil-water mass balance. These variations suggest the importance of additional inputs to precipitation, possibly related to subsurface or lateral connections. Overall, this study contributes to the ongoing discourse on the practical applications of GLDAS-2.2-derived GWS data in groundwater management, offering insights into its effectiveness in diverse hydrogeological settings, particularly in areas that lack monitoring infrastructure.
Hidden-Markov models for ordinal time series
Authors: H. Weiß Christian , Swidan Osama 
Published: October 2024

AbstractA common approach for modeling categorical time series is Hidden-Markov models (HMMs), where the actual observations are assumed to depend on hidden states in their behavior and transitions. Such categorical HMMs are even applicable to nominal data but suffer from a large number of model parameters. In the ordinal case, however, the natural order among the categorical outcomes offers the potential to reduce the number of parameters while improving their interpretability at the same time. The class of ordinal HMMs proposed in this article link a latent-variable approach with categorical HMMs. They are characterized by parametric parsimony and allow the easy calculation of relevant stochastic properties, such as marginal and bivariate probabilities. These points are illustrated by numerical examples and simulation experiments, where the performance of maximum likelihood estimation is analyzed in finite samples. The developed methodology is applied to real-world data from a health application.
Early warning and dynamics of compound rockslides: lessons learnt from the Brienz/Brinzauls 2023 rockslope failure
Authors: Loew Simon , Schneider Stefan , Josuran Michael , Figi Daniel , Thoeny Reto , Huwiler Andreas , Largiadèr Andri , Naenni Christoph 
Published: October 2024

Abstract
Prediction of rockslope dynamic evolution and catastrophic failure remains a fundamental challenge for scientists and practitioners, even though this topic has been studied for decades. Here we report about a case in the Swiss Alps, which has received worldwide attention, not only because a village was evacuated on May 12, 2023, and traffic corridors were progressively closed prior to the slope collapse, but also because this site had been studied and monitored with unprecedented detail during many years before failure. In 2023 the structural and dynamic evolution of the 2 million m3 suspended compound rockslide at Brienz/Brinzauls was closely monitored with diverse ground-based systems and continuously modeled with Voight’s creep law. Substantial deviations from this classical failure model were observed, which are in most cases not related to variations in external driving factors, but diverse internal strength degradation processes. This led to a systematic analysis of Voight’s model uncertainty and the development of an early warning system which includes supplementary early warning parameters to the classical velocity thresholds. We show how to treat the spatial and temporal variations of velocity thresholds and when they reach their applicability limit in a real-time early warning model. The unstable compartment at Brienz/Brinzauls progressively collapsed in the night of June 15, 2023, and generated a series of dry granular flows and rock mass falls, which just stopped at the Brienz settlement boundary.
Effect of sprayable, highly adhesive hydrophobized gelatin microparticles on esophageal stenosis after endoscopic submucosal dissection: an experimental study in a swine model
Authors: Yano Hiroki , Sasaki Fumisato , Maeda Hidehito , Uehara Shohei , Kabayama Masayuki , Fujino Yusuke , Tanaka Akihito , Hinokuchi Makoto , Arima Shiho , Hashimoto Shinichi , Kanmura Shuji , Ito Shima , Nishiguchi Akihiro , Taguchi Tetsushi , Ido Akio 
Published: October 2024

Abstract
Background
Esophageal mucosal resection for superficial esophageal cancer can lead to postoperative esophageal stricture, with current preventive measures being insufficient. Sprayable wound dressings containing hydrophobized microparticles exhibit strong adhesion. This study aimed to investigate the preventive effects of hydrophobized microparticles on esophageal stenosis following endoscopic submucosal dissection.

Methods
Circumferential esophageal endoscopic submucosal dissection was performed on miniature swine (n = 6). Swine were categorized into two groups: those sprayed with hydrophobized microparticles (sprayed group) and those not sprayed (non-sprayed group). Hydrophobized microparticles were sprayed onto the sprayed group on Days 0, 3, and 7 of endoscopic submucosal dissection. The non-sprayed group underwent endoscopy on the same days. Esophageal stricture rate, submucosal inflammatory cell infiltration, submucosal fibrosis, and thickening of the muscular layer were compared between the groups on Day 14 of endoscopic submucosal dissection.

Results
Spraying of hydrophobized microparticles was easily performed using an existing endoscopic spraying device. The esophageal stricture rate was significantly lower in the sprayed group than in the non-sprayed group (76.1% versus 90.6%, p < 0.05). The sprayed group showed suppression of inflammatory cell infiltration in the submucosal layer (p < 0.01) and thickening of the muscular layer (p < 0.01).

Conclusions
Sprayable tissue-adhesive hydrophobized microparticles reduce the stricture rate after esophageal ESD by inhibiting inflammatory cell infiltration, submucosal fibrosis, and thickening of the muscular layer. The use of hydrophobized microparticles for preventing post-endoscopic submucosal dissection esophageal stenosis offers a promising avenue for clinical applications in endoscopic procedures, potentially improving patient outcomes.
Iron as a precursor of aggregation and vector of organic carbon to sediments in a boreal lake
Authors: Herzog Simon David , Meklesh Viktoriia , Soares Margarida , Olsson Ulf , Persson Per , Kritzberg Emma Sofia 
Published: October 2024

Abstract
While organic matter (OM) interactions in the water column prevent iron (Fe) precipitation and sedimentation, Fe also acts as a precursor of aggregation and a vector of OM to sediments. This study aims to characterize Fe–OM interactions to understand the role of Fe in promoting aggregation and transport of OM. Samples of Fe and OM were collected from water, settling material, and sediment along a gradient starting from the inlet and continuing offshore within a boreal lake. Fe speciation was determined using X-ray absorption spectroscopy (XAS), and the chemical composition of OM was assessed using Diffuse reflectance infrared Fourier transform spectroscopy (DRIFT IR) and Nuclear magnetic resonance spectroscopy (NMR). The results show a decrease in Fe and OM concentrations in the water column with increasing distance from the inlet. Winter sampling revealed a shift in Fe speciation from dominance of organically complexed Fe to an increase in Fe(oxy)hydroxide, accompanied by a loss of aromatic and carboxylate function of OM. Summer sampling revealed no significant changes along the gradient, with Fe(oxy)hydroxide and carbohydrates dominating the water phase. Interestingly, settling particles and surface sediments were dominated by Fe(oxy)hydroxides and aliphatic OM. We propose that phototransformation may be an important process that influences the interaction between Fe and OM and, as a consequence, their fate along the spatial gradient. Our study suggests a photochemically induced loss of carboxylate groups, reflected by an increased carbohydrate-to-carboxylate ratio along the gradient, particularly in winter, and generally lower levels during summer. Loss of carboxylate function promotes the formation of Fe(oxy)hydroxides, which in turn, facilitates the aggregation and sinking of OM, particularly aliphatic components. These insights contribute to a broader understanding of carbon cycling and storage in lakes. Future studies should assess the significance of photochemical processes to OM burial and it how may change given trends in Fe and OM in northern regions.
Families with Internationally Adopted Children in Finland: A Study of Emotional Availability in the Early Interaction
Authors: Kuusela Katarina L. , Raaska Hanna , Elovainio Marko J. , Heikkilä Anna-Riitta , Hakulinen Christian A. , Flykt Marjo S. , Lapinleimu Helena 
Published: October 2024

AbstractA well-functioning parent–child relationship is crucial for the child’s psychological development. We examined the Emotional Availability (EA) in the early interaction of internationally adopted children with their mothers. We also studied whether the quality of the interaction was associated with the sex of the adopted children, the age at the time of adoption, the time they had spent in the family and parental depressive symptoms. The study sample was part of the Finnish Adoption (FinAdo) study and included 79 children (mean age at adoption = 2.58 years, SD = 1.51 months, 37% girls) and their adoptive mothers in Finland. The mother–child interactions were examined with Emotional Availability Scales (EAS) during the first months after adoption (mean = 6.3 months). Our results showed that the overall EA scores were relatively high (mean 4.78–6.18), although the mean levels of parent sensitivity, parent non-intrusiveness, child responsiveness and child involvement were under the high zone of the EA (< 5.5). Children adopted at a younger age and boys received lower scores in the interaction analysis. Our results suggest that families with internationally adopted children seem to be able to create a well-functioning early relationship between the mother and the child.
Influence of habitat management and selected environmental parameters on the ground-living communities of harvestmen (Opiliones) in the historical park in Rusovce (Slovakia)
Authors: Litavský Juraj , Majzlan Oto , Langraf Vladimír , Žarnovičan Hubert 
Published: October 2024

AbstractCity parks serve as valuable refuges for invertebrates in the urban environment, which are constantly exposed to human influence caused by management practices in the parks. Many harvestman species are suitable bioindicators for monitoring ecological change; however, their effective use in environmental assessment necessitates to expand the insufficient knowledge of ecological environmental specificities of their communities. We studied the diversity and dynamics of harvestman (Opiliones) communities in the historical park in Rusovce, situated in the southwestern part of Bratislava (Slovakia). Seven study sites were investigated, representing areas subjected to different management practices. The research was conducted from March 2019 to April 2020, using pitfall traps. We evaluated the impact of microclimatic variables (soil and air temperature), environmental characteristics (plant diversity and cover of vegetation layers, age of forest stands, thickness of the litter layer), and management practices on the structure of harvestman communities. The study revealed the response of specific harvestman species to temperature variations, emphasizing the importance of microclimatic conditions. Environmental variables, such as the richness of plant species in the shrub layer, the cover of the herb and shrub vegetation layers, and the age of the forest stands, were identified as key factors that influence the dispersal of harvestman species. Furthermore, management practices, especially the presence of monoculture tree plantations, significantly affected the species composition of harvestmen. Examining the sensitivity of Opiliones, important bioindicators, to these factors is crucial for implementing effective conservation strategies in urban green spaces and anthropogenically influenced ecosystems.
Harnessing the lymphatic system
Authors: Ponikowska Barbara , Fudim Marat , Iwanek Gracjan , Zymliński Robert , Biegus Jan 
Published: October 2024

AbstractHeart failure (HF) is a growing concern, with significant implications for mortality, morbidity, and economic sustainability. Traditionally viewed primarily as a hemodynamic disorder, recent insights have redefined HF as a complex systemic syndrome, emphasizing the importance of understanding its multifaceted pathophysiology. Fluid overload and congestion are central features of HF, often leading to clinical deterioration and hospital admissions, with the role of the lymphatic system previously largely overlooked, partly due to diagnostic challenges and visualization difficulties. With the advancement of those techniques, pathophysiological changes occurring in the lymphatic system during HF, such as enlargement of the thoracic duct and the increased lymphatic flow, are now becoming apparent. This emerging research has begun to uncover the interplay between lymphatic dysfunction and HF, suggesting novel therapeutic targets. Advances in molecular biology, such as targeting vascular endothelial growth factor and promoting lymphangiogenesis, hold promise for improving lymphatic function and mitigating HF complications. This article provides a comprehensive overview of the evolving landscape of lymphatic system-targeted therapies for HF. It explores various intervention levels, from mechanical lymphatic decongestion to pharmaceutical interactions and lymphatic micro-circulation, offering insights into future directions and potential clinical implications for HF management.
How Fast do Rumours Spread?
Authors: Roy Rishideep , Saha Kumarjit 
Published: October 2024

AbstractWe study a rumour propagation model along the lines of Lebensztayn and Rodriguez (Stat Probab Lett 78(14):2130–2136, 2008) as a long-range percolation model on $$\mathbb {Z}$$
Z
. We begin by showing a sharp phase transition-type behaviour in the sense of exponential decay of the survival time of the rumour cluster in the sub-critical phase. In the super-critical phase, under the assumption that radius of influence r.v. has $$2+\epsilon $$

2
+
ϵ

moment finite (for some $$\epsilon >0$$

ϵ
>
0

), we show that the rightmost vertex in the rumour cluster has a deterministic speed in the sense that after appropriate scaling, the location of the rightmost vertex converges a.s. to a deterministic positive constant. Under the assumption that radius of influence r.v. has $$4+\epsilon $$

4
+
ϵ

moment finite, we obtain a central limit theorem for appropriately scaled and centered rightmost vertex. Later, we introduce a rumour propagation model with reactivation. For this section, we work with a family of exponentially decaying i.i.d. radius of influence r.v.’s, and we obtain the speed result for the scaled rightmost position of the rumour cluster. Each of these results is novel, in the sense that such properties have never been established before in the context of the rumour propagation model on $$\mathbb {Z}$$
Z
, to the best of our knowledge.
DTI fiber-tracking parameters adjacent to gliomas: the role of tract irregularity value in operative planning, resection, and outcome
Authors: Armocida Daniele , Bianconi Andrea , Zancana Giuseppa , Jiang Tingting , Pesce Alessandro , Tartara Fulvio , Garbossa Diego , Salvati Maurizio , Santoro Antonio , Serra Carlo , Frati Alessandro 
Published: October 2024

Abstract
Purpose
The goal of glioma surgery is maximal tumor resection associated with minimal post-operative morbidity. Diffusion tensor imaging-tractography/fiber tracking (DTI-FT) is a valuable white-matter (WM) visualization tool for diagnosis and surgical planning. Still, it assumes a descriptive role since the main DTI metrics and parameters showed several limitations in clinical use. New applications and quantitative measurements were recently applied to describe WM architecture that surround the tumor area. The brain adjacent tumor area (BAT) is defined as the region adjacent to the gross tumor volume, which contains signal abnormalities on T2-weighted or FLAIR sequences. The DTI-FT analysis of the BAT can be adopted as predictive values and a guide for safe tumor resection.

Methods
This is an observational prospective study on an extensive series of glioma patients who performed magnetic resonance imaging (MRI) with pre-operative DTI-FT analyzed on the BAT by two different software. We examined DTI parameters of Fractional anisotropy (FA mean, min-max), Mean diffusivity (MD), and the shape-metric “tract irregularity” (TI) grade, comparing it with the surgical series’ clinical, radiological, and outcome data.

Results
The population consisted of 118 patients, with a mean age of 60.6 years. 82 patients suffering from high-grade gliomas (69.5%), and 36 from low-grade gliomas (30.5%). A significant inverse relationship exists between the FA mean value and grading (p = 0.001). The relationship appears directly proportional regarding MD values (p = 0.003) and TI values (p = 0.005). FA mean and MD values are susceptible to significant variations with tumor and edema volume (p = 0.05). TI showed an independent relationship with grading regardless of tumor radiological features and dimensions, with a direct relationship with grading, ki67% (p = 0,05), PFS (p < 0.001), and EOR (p < 0.01).

Conclusion
FA, MD, and TI are useful predictive measures of the clinical behavior of glioma, and TI could be helpful for tumor grading identification and surgical planning.