bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into the structures and properties of dyes in the Fenton catalytic process for treating wastewater effluent
Authors: Pervez Md. Nahid , Mishu Mst. Monira Rahman , Tanvir Naim Pervez , Talukder Md Eman , Cai Yingjie , Telegin Felix Y. , Zhao Yaping , Naddeo Vincenzo 
Published: December 2023

AbstractA notable level of apprehension exists over the adverse impacts of dye pollution on aquatic ecosystems and human well‐being. The primary objective of this research is to assess the effectiveness of Fenton catalytic reactions in degrading 14 different commercial azo dyes (both single and double) present in aqueous solutions. The investigation focused on the function of dye structures, using a combination of experimental data and examination of theoretical factors. Dye degradation process was carried out at pH 3, and the concentrations of Fe2+ (10−4 mol/L), H2O2 (2 × 10−3 mol/L), and dye (0.05 g/L). The findings revealed that dyes with a larger molecular weight were more effective at degrading (D%), with the overall degradation efficiency varying from 0% to 94%. Functional groups played an important role in degradation efficiency; for example, dyes with higher aromatic rings led to less D%, while a higher number of sulfonic, methyl, and nitro groups was responsible for better D%. Notably, the presence of OH groups in the backbone of dyes (AB 24, ABE 113, and MB 9) formed the Fe complex during the catalytic process, and the D% was minimal. On the other hand, theoretical quantum calculations such as the greater the JCLogP, highest occupied molecular orbital, and Dipole moment value, the higher the degradation efficiency. And dyes with low lowest unoccupied molecular orbital tended to have a better degradation efficiency. To some extent, UV–Vis spectral analysis was investigated to determine the degradation pathway, and the pseudo‐second‐order kinetic model fitted better in the degradation process. The overall experimental and theoretical findings suggested that dye degradation efficiency by the Fenton process is structure‐dependent.Practitioner Points
Insights into the role of azo dye structures‐properties on degradation efficiency.
Higher molecular weight and sulfonic groups containing dyes showed better degradation efficiency.
Hydroxyl groups play the formation of the Fe complex during the degradation process.
Higher values of HOMO and lower values of LUMO enhanced degradation efficiency.
The pseudo‐second‐order (PSO) kinetic model obeyed the Fenton process.
Disparities in catastrophic health expenditure for hospitalization in Urban Kerala, India: Evidence from 75th round of the National Sample Survey
Authors: Philip Paul J. , Panda Gyana R. 
Published: December 2023

AbstractExisting literature suggests significant disparities in health expenditure incurred by households receiving health services. To determine fair contributions by beneficiaries, it is crucial to understand the existing inequalities in the context of financial protection measures and the factors influencing them. This exploratory study looks at how catastrophic health expenditures (CHE) are distributed across economic groups. The study also casts light on what drives the inequalities in the incidences of CHE. The study uses unit‐level data from the 75th round of the National Sample Survey fielded periodically by the Government of India. It employs logistic regression to study factors affecting CHE. Furthermore, the concentration index and its regression‐based decomposition are employed to have a sense of inequality and the factors driving it. The findings reveal socioeconomic inequality in CHE incidence and highlight the contribution of medical institutions (whether public or private) and consumption expenditure of households to the total inequality. The present study, while critically looking at the pre‐existing inequalities, highlights the shortcomings of health financing in urban areas and calls for a reconsideration of extant policy designs. The study maintains that factors outside the control of the health system may be responsible for disparities in catastrophic medical spending. Therefore, to reduce the burden of catastrophic health spending and its inequalities, future policy measures must take into account both elements within the health system and those outside of it.
A perspective on translating genomic discoveries into targets for brain‐machine interface and deep brain stimulation devices
Authors: Valentim Wander L. , Tylee Daniel S. , Polimanti Renato 
Published: December 2023

AbstractMental illnesses have a huge impact on individuals, families, and society, so there is a growing need for more efficient treatments. In this context, brain‐computer interface (BCI) technology has the potential to revolutionize the options for neuropsychiatric therapies. However, the development of BCI‐based therapies faces enormous challenges, such as power dissipation constraints, lack of credible feedback mechanisms, uncertainty of which brain areas and frequencies to target, and even which patients to treat. Some of these setbacks are due to the large gap in our understanding of brain function. In recent years, large‐scale genomic analyses uncovered an unprecedented amount of information regarding the biology of the altered brain function observed across the psychopathology spectrum. We believe findings from genetic studies can be useful to refine BCI technology to develop novel treatment options for mental illnesses. Here, we assess the latest advancements in both fields, the possibilities that can be generated from their intersection, and the challenges that these research areas will need to address to ensure that translational efforts can lead to effective and reliable interventions. Specifically, starting from highlighting the overlap between mechanisms uncovered by large‐scale genetic studies and the current targets of deep brain stimulation treatments, we describe the steps that could help to translate genomic discoveries into BCI targets. Because these two research areas have not been previously presented together, the present article can provide a novel perspective for scientists with different research backgrounds.This article is categorized under:
Neurological Diseases > Genetics/Genomics/Epigenetics
Neurological Diseases > Biomedical Engineering
WorldKG: World-Scale Completion of Geographic Information
Authors: Dsouza Alishiba , Tempelmeier Nicolas , Gottschalk Simon , Yu Ran , Demidova Elena 
Published: December 2023

AbstractKnowledge graphs provide standardized machine-readable representations of real-world entities and their relations. However, the coverage of geographic entities in popular general-purpose knowledge graphs, such as Wikidata and DBpedia, is limited. An essential source of the openly available information regarding geographic entities is OpenStreetMap (OSM). In contrast to knowledge graphs, OSM lacks a clear semantic representation of the rich geographic information it contains. The generation of semantic representations of OSM entities and their interlinking with knowledge graphs are inherently challenging due to OSM’s large, heterogeneous, ambiguous, and flat schema and annotation sparsity. This chapter discusses recent knowledge graph completion methods for geographic data, comprising entity linking and schema inference for geographic entities, to provide semantic geographic information in knowledge graphs. Furthermore, we present the WorldKG knowledge graph, lifting OSM entities into a semantic representation.
Uncertainty-Aware Enrichment of Animal Movement Trajectories by VGI
Authors: Metz Yannick , Keim Daniel A. 
Published: December 2023

AbstractCombining data from different sources and modalities can unlock novel insights that are not available by analyzing single data sources in isolation. We investigate how multimodal user-generated data, consisting of images, videos, or text descriptions, can be used to enrich trajectories of migratory birds, e.g., for research on biodiversity or climate change. Firstly, we present our work on advanced visual analysis of GPS trajectory data. We developed an interactive application that lets domain experts from ornithology naturally explore spatiotemporal data and effectively use their knowledge. Secondly, we discuss work on the integration of general-purpose image data into citizen science platforms. As part of inter-project cooperation, we contribute to the development of a classifier pipeline to semi-automatically extract images that can be integrated with different data sources to vastly increase the number of available records in citizen science platforms. These works are an important foundation for a dynamic matching approach to jointly integrate geospatial trajectory data and user-generated geo-referenced content. Building on this work, we explore the joint visualization of trajectory data and VGI data while considering the uncertainty of observations. BirdTrace, a visual analytics approach to enable a multi-scale analysis of trajectory and multimodal user-generated data, is highlighted. Finally, we comment on the possibility to enhance prediction models for trajectories by integrating additional data and domain knowledge.
Toward Visually Analyzing Dynamic Social Messages and News Articles Containing Geo-Referenced Information
Authors: Knittel Johannes , Huth Franziska , Koch Steffen , Ertl Thomas 
Published: December 2023

AbstractThe number of social media posts and news articles that are being published every day is high. This makes them an attractive source of human-generated information for different domain experts such as journalists and business analysts but also emergency responders, particularly if posts contain references to geolocations. Visual analytics approaches can help to gain insights into such datasets and inform decision-makers. However, the high volume and the veracity of the data, as well as the velocity in the case of streaming data, pose challenges when supporting explorative analysis with interactive visualization. Based on four exemplary approaches, we outline recently proposed strategies to tackle these challenges. We describe how geo-aware filtering and anomaly detection methods can help to inform stakeholders based on geolocated tweets. We show that data-aware tag maps can provide analysts with an overview-first, details-on-demand visual summary of large amounts of text content over time. With space-filling curves, we can visualize the temporal evolution of geolocations in a two-dimensional plot without relying on animations that would impede comparative analyses. Additionally, we discuss the use of an efficient dynamic clustering algorithm for enabling large-scale visual analyses of streaming posts.
Nonlinear quasi-normal modes: uniform approximation
Authors: Bucciotti Bruno , Kuntz Adrien , Serra Francesco , Trincherini Enrico 
Published: December 2023

Abstract
Recent works have suggested that nonlinear (quadratic) effects in black hole perturbation theory may be important for describing a black hole ringdown. We show that the technique of uniform approximations can be used to accurately compute 1) nonlinear amplitudes at large distances in terms of the linear ones, 2) linear (and nonlinear) quasi-normal mode frequencies, 3) the wavefunction for both linear and nonlinear modes. Our method can be seen as a generalization of the WKB approximation, with the advantages of not losing accuracy at large overtone number and not requiring matching conditions. To illustrate the effectiveness of this method we consider a simplified source for the second-order Zerilli equation, which we use to numerically compute the amplitude of nonlinear modes for a range of values of the angular momentum number.
Conjugations on $$L^2$$ Space on the Real Line
Authors: Dymek Piotr , Płaneta Artur , Ptak Marek 
Published: December 2023

AbstractInfluenced by PT operators (parity and time reversal operators) the general conjugations acting in the $${\varvec{L}}^\textbf{2}$$

L

2

space on the real line with the Lebesgue measure are studied. The behaviour of conjugations with respect to multiplication operators and translations is investigated. We consider conjugations defined as the convolution of the Fourier transform of a given unimodular (even) function and test functions. We characterize all conjugations commuting (intertwining) with all translation operators on the real line. The conjugations leaving kernels of Toeplitz operators (a generalization of model spaces) on $${\varvec{H}}^\textbf{2}$$

H

2

space on the upper half plane invariant are also characterized. Analogous results are obtained for conjugations and kernels of Wiener–Hopf operators.
Stereotactic radiotherapy in the management of oligometastatic and recurrent head and neck cancer: a single-center experience
Authors: Mohamed Ahmed Allam , Goncalves Miguel , Singh Biney Pal , Tometten Mareike , Rashad Ashkan , Hölzle Frank , Hackenberg Stephan , Eble Michael 
Published: December 2023

Abstract
Introduction
Oligometastatic disease (OMD) is a metastatic stage that could benefit maximally from local therapies. Patients in this state have a better prognosis relative to those with disseminated metastases. Stereotactic radiotherapy provides a non-invasive ablative tool for primary malignant tumors and metastases.

Materials and methods
We searched our register for patients with oligometastatic or recurrent head and neck cancer (OMD/R-HNC) who received stereotactic radiotherapy to manage their OMD/R. We evaluated the survival outcomes and prognostic factors that affected the survival of those patients.

Results
In all, 31 patients with 48 lesions met the inclusion criteria for the analysis. The lesions comprised various metastatic sites, with the majority being pulmonary (37 lesions). Squamous cell cancer was the most common histology (26 patients). The median overall survival (mOS) was 33 months, with a progression-free survival (PFS) of 9.6 months. Eight patients received subsequent stereotactic radiotherapy after disease progression. The local control (LC) rates were 91.3, 87.7, and 83% at 6, 12, and 36 months. Patients with the de novo OMD who received stereotactic radiotherapy as their initial treatment had a median systemic treatment-free survival of 23.9 months. In univariate analysis, a trend for better OS was observed in patients with p16-positive squamous cell tumors; patients who progressed within 150 days after diagnosis had a significantly lower OS. De novo OMD showed significantly better PFS compared to induced OMD. Multivariate analyses identified p16-positive squamous cell cancer, metachronous OMD and a longer time to progression as positive predictors of OS, while de novo OMD was the only positive predictor for PFS. Treatment-related toxicities were generally mild, with two cases of grade 3 dysphagia reported.

Conclusion
Stereotactic radiotherapy demonstrated favorable outcomes in patients with OMD/R-HNC with limited toxicities. Further studies are warranted to validate these findings and optimize treatment strategies for this patient population.
Cyanobacterial harmful bloom lipopolysaccharides: pro-inflammatory effects on epithelial and immune cells in vitro
Authors: Skočková V. , Raptová P. , Pospíchalová K. , Sovadinová I. , Sychrová E. , Smutná M. , Hilscherová K. , Babica P. , Šindlerová L. 
Published: December 2023

AbstractCyanobacterial harmful blooms (CyanoHABs) pose a global ecological problem, and their lipopolysaccharides (LPS) are among the bioactive compounds they release. Previous studies on CyanoHAB-LPS from single cyanobacterial species have shown varying bioactivities in different in vitro cell models. In this study, we isolated LPS from 19 CyanoHAB samples collected at 18 water bodies in the Czech Republic over two consecutive seasons. The proportions of cyanobacteria, Gram-negative bacteria (G-), and other bacteria in the biomass were determined by qPCR, while the cyanobacterial genera were identified using light microscopy. In vitro models of keratinocytes (HaCaT), the intestinal epithelium (co-culture of differentiated Caco-2 cells and peripheral blood mononuclear cells — PBMC), and PBMC alone were treated with isolated LPS at concentrations of 50, 100, and 1 µg/ml, respectively. The endotoxin activities of these concentrations were within the range measured in the aquatic environment. Approximately 85–90% of the samples displayed biological activity. However, the potency of individual LPS effects and response patterns varied across the different in vitro models. Furthermore, the observed activities did not exhibit a clear correlation with the taxonomic composition of the phytoplankton community, the relative share of microbial groups in the biomass, endotoxin activity of the LPS, or LPS migration and staining pattern in SDS-PAGE. These findings suggest that the effects of CyanoHAB-LPS depend on the specific composition and abundance of various LPS structures within the complex environmental sample and their interactions with cellular receptors.
Reduced tear fluid production in neurological diseases: a cohort study in 708 patients
Authors: Luib Elena , Demleitner Antonia F. , Cordts Isabell , Westenberg Erica , Rau Petra , Pürner Dominik , Haller Bernhard , Lingor Paul 
Published: December 2023

Abstract
Background
Tear fluid (TF) production is an important component of normal ocular function. It is regulated by parasympathetic and sympathetic innervation. Because parasympathetic nerve fibers originate in the brainstem, pathology in this brain region may affect TF production. For example, a reduction in TF production has been described in patients with Parkinson’s disease (PD).

Methods
TF was collected at one center from 772 individuals, 708 of which were patients with different neurological diseases, and 64 healthy controls. Wetting lengths (WL) were recorded using Schirmer test strips with a collection time of 10 min.

Results
WL correlated negatively with age and was significantly reduced in subgroups of patients with neurodegenerative diseases (NDDs) (PD, Amyotrophic lateral sclerosis (ALS), other motor neuron diseases (MNDs)), as well as inflammatory/autoimmune/infectious central nervous system (CNS) diseases and vascular CNS diseases (VCDs), even if corrected for age or sex. While temperature had a significant negative effect on TF production, other environmental factors, such as hours of sunlight and humidity, did not.

Conclusion
WL was altered in many neurological diseases compared to healthy controls. Most importantly, we observed a reduction of WL in NDDs, independent of age or sex. This study highlights the potential of WL as an easily obtainable parameter and suggests functional alterations in the autonomic innervation in various neurological disorders.
SATB2, CKAE1/AE3, and synaptophysin as a sensitive immunohistochemical panel for the detection of lymph node metastases of Merkel cell carcinoma
Authors: Szumera-Cieckiewicz Anna , Massi Daniela , Cassisa Angelo , Krzyzinski Mateusz , Dudzisz-Sledz Monika , Biecek Przemyslaw , Rutkowski Piotr , Marszalek Andrzej , Hoang Mai P. , Donizy Piotr 
Published: December 2023

AbstractHistopathological evaluation of lymph nodes in Merkel cell carcinoma has become crucial in progression estimation and treatment modification. This study was undertaken to determine the most sensitive immunohistochemical panel for detecting MCC nodal metastases. We included 56 patients with 102 metastatic MCC lymph nodes, which were tested with seven antibodies: cytokeratin (CKAE1/AE3), CK20, chromogranin A, synaptophysin, INSM1, SATB2, and neurofilament (NF). Tissue microarrays (TMA) composed of 2-mm tissue cores from each nodal metastasis were constructed. A semiquantitative 5-tier scoring system (0%, < 25%, 25–74%, 75–99%, 100% positive MCC cells with moderate to strong reactivity) was implemented. In the statistical assessment, we included Merkel cell polyomavirus (MCPyV) status and expression heterogeneity between lymph nodes from one patient. A cumulative percentage of moderate to strong expression ≥ 75% of tumoral cells was observed for single cell markers as follows: 91/102 (89.2%) SATB2, 85/102 (83%) CKAE1/AE3, 80/102 (78.4%) synaptophysin, 75/102 (75.5%) INSM1, 68/102 (66.7%) chromogranin A, 60/102 cases (58.8%) CK20, and 0/102 (0%) NF. Three markers presented a complete lack of immunoreactivity: 8/102 (7.8%) CK20, 7/102 (6.9%) chromogranin A, and 6/102 (5.9%) NF. All markers showed expression heterogeneity in lymph nodes from one patient; however, the most homogenous was INSM1. The probability of detecting nodal MCC metastases was the highest while using SATB2 as a first-line marker (89.2%) with subsequential adding CKAE1/AE3 (99%); these results were independent of MCPyV status. Synaptophysin showed a superior significance in confirming the neuroendocrine origin of metastatic cells. This comprehensive analysis allows us to recommend simultaneous evaluation of SATB2, CKAE1/AE3, and synaptophysin in the routine pathologic MCC lymph node protocol.
Use of transient elastography to assess hepatic steatosis and fibrosis in patients with juvenile idiopathic arthritis during methotrexate treatment
Authors: Niyasom Chayakamon , Soponkanaporn Sirisucha , Vilaiyuk Soamarat , Lertudomphonwanit Chatmanee , Getsuwan Songpon , Tanpawpong Pornthep , Kaewduang Piyaporn , Sobhonslidsuk Abhasnee 
Published: December 2023

Abstract
Objectives
This study aimed to assess the prevalence and identify predictors of hepatic steatosis and fibrosis in patients with juvenile idiopathic arthritis (JIA) during methotrexate treatment.

Method
This cross-sectional study included JIA patients who had received methotrexate for > 1 year. Laboratory data including liver chemistry and lipid profiles were collected. Liver stiffness measurements (LSM) and controlled attenuation parameters (CAP) were determined by transient elastography. Significant hepatic fibrosis was defined as LSM > 7 kilopascal (kPa), and hepatic steatosis was defined as CAP > 225 decibel/meter (dB/m). Logistic regression analysis was performed to identify predictors associated with hepatic steatosis and fibrosis.

Results
Of 60 patients, 66.7% were female, and the median age (IQR) was 12.8 (10.6–15.0) years. The median duration of methotrexate usage (IQR) was 45 (22–85) months, and the median cumulative dose of methotrexate (IQR) was 3768 (1806–6466) mg. The median LSM (IQR) and CAP (IQR) were 4.1 (3.4–4.6) kPa and 191.0 (170.3–223.8) dB/m, respectively. No patients had transient elastography-defined hepatic fibrosis, whereas 21.7% had hepatic steatosis. A body mass index Z-score > 1 (OR 5.71 [95%CI 1.31–24.98], p = 0.021) and higher cumulative dose of methotrexate (OR 1.02 [95%CI 1.00–1.04], p = 0.041) were associated with hepatic steatosis, whereas the cumulative dose of steroids was not (OR 1.00 [95%CI 1.00–1.01], p = 0.097).

Conclusions
Hepatic steatosis is common among JIA patients receiving methotrexate, but none had transient elastography-defined hepatic fibrosis. Overweight/obese JIA adolescents and patients with a high cumulative dose of methotrexate are at risk for hepatic steatosis.

Key Points•Long-term low-dose methotrexate usage and the concomitant use of other DMARDs did not increase the risk of hepatic fibrosis in JIA patients.•The prevalence of hepatic steatosis in JIA patients receiving methotrexate was higher than in a healthy pediatric population.•Overweight/obesity and a higher cumulative dose of methotrexate were predictors of hepatic steatosis.