bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term changes in the allergenic potential of ruderal vegetation in a Central European urban area
Authors: Hrabovský Michal , Ščevková Jana , Rendeková Alena , Zahradníková Eva , Jarolímek Ivan 
Published: February 2025

Abstract
Allergenic pollen from ruderal vegetation, particularly grasses (Poaceae) and invasive weeds such as Ambrosia artemisiifolia, poses increasing health risks in urban areas. Climate change and urbanisation influence the distribution and allergenic potential of these plant communities. This study analyses long-term changes in allergenic species within ruderal vegetation in Bratislava, Slovakia, and their relationship with meteorological factors, using phytosociological relevés from two periods (1975–1982 and 2011–2017). Changes in the proportion and cover of allergenic species, as well as the allergenic potential of ruderal vegetation, were assessed statistically and correlated with meteorological data. Of the 458 recorded species, 105 were allergenic, contributing 58% of the vegetation cover. Allergenic species richness, cover, and proportion increased significantly, driven primarily by invasive Asteraceae and grasses. Air temperature showed strong positive correlations with these metrics, while precipitation had minimal impact. The highest allergenic potential was recorded in the Stellarietea mediae class. However, the overall allergenic potential of ruderal vegetation over the four decades remained relatively stable, despite the changing species composition: the spread of some invasive species was balanced by the retreat of others.
Neurosurgical management of brain metastases in the elderly: a prospective study on adverse event prevalence and predictors
Authors: Lenga Pavlina , Scherer Moritz , Kleineidam Helena , Unterberg Andreas , Krieg Sandro M. , Dao Trong Philip 
Published: February 2025

Abstract
The management of brain metastases (BM) in geriatric patients poses significant challenges in the context of an aging population and advances in systemic cancer treatment. This study provides insights into the prevalence and nature of adverse events (AEs) following intracranial surgery in patients aged 65 years and older. It highlights the complexities and implications of treating this demographic patient population and identifies risk factors associated with AEs. This prospective study includes patients aged 65 years and older with BM who underwent surgery between January 2022 and December 2023. A detailed assessment of AEs, defined as any complication occurring within the first 30 days post-surgery, was conducted. Potential risk factors for the occurrence of AEs were examined. The study encompassed 104 patients, averaging 70.1 ± 2.8 years, with 102 undergoing surgery. The mean age-adjusted Charlson Comorbidity Index (CCI) score was 8.9 ± 1.2, indicating a significant comorbidity burden, predominantly cardiac conditions. The Karnofsky Performance Scale (KPS) showed substantial improvement post-surgery, increasing from 71.3% ± 7.8 to 75.1% ± 5.0 (p = 0.045). The average hospital stay was 10.6 days. Four non-surgery-related mortalities occurred within the 30-day postoperative period. Surgery-related AEs included wound complications in two patients, with one necessitating surgical revision. Advanced age and comorbidities emerged as significant predictors of AEs. Our findings suggest that neurosurgical intervention for BM in the elderly is a feasible and safe option, demonstrating favorable morbidity and mortality rates. However, careful postoperative monitoring is crucial, especially considering the baseline health status of these patients, which increases their susceptibility to AEs. Standardizing protocols for AE reporting and analysis is essential for improving clinical outcomes and maintaining the quality of healthcare for this patient population.
Combined accessibility validation and monitoring of web sites and PDF documents
Authors: Iannuzzi Nicola , Manca Marco , Paternò Fabio , Santoro Carmen 
Published: February 2025

Abstract
Accessibility validation of online digital content through automatic tools has been addressed in limited terms. There is a need for a holistic approach to accessibility validation, able to align well with the goals of public organisations and accessibility authorities. In this perspective, one main issue is that usually such tools aim to assess either the web content, or the PDF documents, but not both. However, users need that all the content be accessible, regardless of the format used, thus it would be helpful to have tools able to perform a combined analysis of both web pages, and PDF files connected with such pages. This combined approach to accessibility validation, beyond providing a more complete and coherent view on the accessibility supported for everyone, would also be important for accessibility authorities (who must monitor the state of accessibility on a large scale, e.g., to comply with the EU WAD Directive), as well as for public organisations (since they could incur in legal risks and potential lawsuits, if only web pages are compliant). Indeed, a combined accessibility analysis would help them to identify the sites that need more interventions and would also be useful more generally to stimulate web developers and content providers to pay attention to both aspects. In this paper, we present how a tool that originally supported Web accessibility validation only, has been extended to include in the supported accessibility analysis also PDF files, to provide a more comprehensive assessment of the evaluated content. We describe the tasks it supports, the possible use cases, as well as some results obtained in a large-scale combined validation (Web and PDF content), carried out on Italian public service websites. The paper also reports the results of a user study carried out to understand the usability of the features that were added to the tool to support the validation of the accessibility of both web and PDF content.
Teacher collaborative knowledge building in Reciprocal Peer Observation
Authors: Flores Marta , Miquel Ester , Duran David 
Published: February 2025

Abstract
This research focuses on the interaction between pairs of teachers who carry out Reciprocal Peer Observation (RPO) practices. The aim is to identify how teachers learn by building knowledge collaboratively during their participation in feedback meetings (the third stage of the RPO cycle). From an initial sample of 400 voluntary in-service teachers, audio files recorded during feedback meetings are collected. Teacher pair interaction is analyzed in 94 meetings using a system of categories and subcodes. Discourse moves related to collaborative knowledge building (CKB) and non-CKB are analyzed to check if there are differences between the two roles carried out (observer and observee). The study combines descriptive and inferential analysis, and results indicate that there is a greater use of discourse moves related to CKB. Differences between observer and observee roles are identified, indicating that RPO can be an adequate practice for teacher learning because it allows each teacher to take advantage of the opportunities of both roles. It is concluded that enriching feedback meetings with the use of informed knowledge, support of tools, and quality feedback can promote even more CKB in RPO feedback meetings and therefore continue to move forward to practices in which teachers can collaboratively learn from each other.
Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
Authors: Senn Nicholas , Ross P. James , Ayde Reina , Mallikourti Vasiliki , Krishna Adarsh , James Charly , de Vries Clarisse F. , Broche Lionel M. , Waiter Gordon D. , MacLeod Mary Joan 
Published: February 2025

Abstract

Objectives
By rapidly changing magnetic field strength between 0.2 and 200 mT during the pulse sequence Field-Cycling Imaging (FCI) makes it possible to identify and evaluate new quantitative markers of pathology derived from dispersion of spin–lattice relaxation rate (R
1) in vivo. The aim of this work was to determine the most effective approach to reliably estimate multi-field R
1 dispersion measurements in brain tissue using FCI.

Materials and methods
This repeatability study consisted of twenty participants with moderate or severe small vessel disease. Each participant underwent 3 T MRI and FCI scans, repeated 30 days apart. After R
1 maps were generated at 0.2, 2, 20, and 200 mT, co-registered tissue labels generated from 3 T MRI were used to extract tissue averaged values of R
1 dispersion from regions of white matter (WM) and WM hyperintensities (WMHs).

Results
The fitted model which yielded best overall image contrast between WM and WMH regions and R
1 dispersion model adherence was determined. Tissue averaged values of R
1 (0.2 mT) and R
1 dispersion slope exhibited Cohen’s d effect sizes of 3.07 and 1.48, respectively, between regions of WM and WMH. The cohort study results were repeatable between study visits.

Discussion
Differences in R
1 measurements could repeatably be discerned between normal and abnormal appearing brain tissues.
Can tree leaves be an alternative source of feed for dairy ruminants?
Authors: Bonizzi Serena , Colombini Stefania , Pavesi Martina , Zucali Maddalena , Failla Osvaldo , Dragoni Federico , Amon Barbara , Ragaglini Giorgio , Sandrucci Anna 
Published: February 2025

Abstract
The importance of agroforestry systems is increasing as they promote sustainable agricultural practices to address climate change and food security. The study aimed to assess the potential of tree species as feed ingredients for dairy ruminants. Leaves from five tree species—Fraxinus excelsior L. (common ash), Morus nigra L. (black mulberry), Robinia pseudoacacia L. (locust tree), Salix babylonica L. (weeping willow) and U. minor Mill. (field elm)—were sampled in three different times in spring–summer season 2023 on a farm in Northern Italy. Proximate composition, analyses along with in vitro analyses, were conducted to determine net energy of lactation (NEL) by gas production and fibre digestibility (NDFD). Results found wide variability among species for chemical and nutritive value. Fibre content (% DM) was highest in U. minor (57.2) and lowest in M. nigra (34.5), whereas crude protein (% DM) was highest in R. pseudoacacia (22.4), followed by S. babylonica and M. nigra (20.3, on average), U. minor (15.1) and F. excelsior (14.0). Morus nigra had the highest NDFD (75.3%) and NEL (5.66 MJ/kg DM). Intermediate NEL values were recorded for F. excelsior and S. babylonica (4.50 MJ/kg DM, on average), the lowest values in U. minor and R. pseudoacacia (3.90 MJ/kg DM, on average). The study indicated that most of the examined tree species can be used as dietary supplements due to their nutritional properties as they maintain their quality throughout the growing season. Morus nigra emerges as the most promising species due to its superior nutritive value.
Carbon stocks, technological development, and milk yields of dairy cattle silvopastoral production systems in the Andean-amazon region of Colombia
Authors: Mavisoy Henry , Castro Rincón Edwin , Riascos Vallejos Adrian Rolando , Narváez-Herrera Juan Pablo , Rosas Lorieth , Guerra Acosta Adriana del Socorro , Riascos Salcedo Adrián Antonio , Aguillon Alban Disney Magali , Chingal Carlos , de Almeida André M. , Fangueiro David 
Published: February 2025

Abstract
This research aimed to assess carbon (C) stocks (living biomass, soil and detritus) in silvopastoral systems (SPS), the C density in living biomass (CLB) at the farm level, technological adoption and milk yields in an integrated fashion in small dairy farms in the Andean-Amazon region of Colombia. Technological adoption was assessed on a scale of 0 to 100% across 26 points. Milk yields from the top 10% highest-yielding farms were used for gap analysis. The lactation period and weaning age were considered as herd management variables. The study included 30 farms classified as high, medium or low SPS coverage. The average farm size was 9.1 ± 0.8 ha−1 where live fences (LF) and woodlots (WL) were the main SPS. The total C were 152.0 ± 13.8 Mg·ha-1, 152.2 ± 10.3 Mg·ha-1, and 73.2 ± 4.4 Mg·ha-1 in WL, LF and pastures. Farms with high SPS coverage (10.8 ± 1.1%) presented a CLB density of 8.6 ± 2.0 Mg·ha−1, 3.4 and 43 times higher than those with medium and low coverage, respectively. Average milk yield was 3190.1 ± 237.5 kg fat and protein-corrected milk (FPCM) cow−1 yr⁻1, with the top 10% of farms having 6056.7 kg·FPCM·cow−1 yr⁻1. Farms with low SPS coverage had the smallest yield gap (1221.4 ± 290 kg·FPCM·cow−1 yr⁻1) but also a lower average yield (2883.0 ± 290 kg·FPCM·cow⁻1·yr⁻1). The farms averaged 48.9 ± 2.1% in the technological adoption level, 271.5 ± 8.4 days of lactation period, and 129.3 ± 17.8 days of weaning age, with no significant differences across SPS levels. An integrated approach to jointly increase technology adoption, herd management, and the enhancement of SPS coverage at the farm level can reduce the yield gap while enhancing C stocks.
Brain Dynamics of Speech Modes Encoding: Loud and Whispered Speech Versus Standard Speech
Authors: Sanders Bryan , Lancheros Monica , Bourqui Marion , Laganaro Marina 
Published: February 2025

Abstract
Loud speech and whispered speech are two distinct speech modes that are part of daily verbal exchanges, but that involve a different employment of the speech apparatus. However, a clear account of whether and when the motor speech (or phonetic) encoding of these speech modes differs from standard speech has not been provided yet. Here, we addressed this question using Electroencephalography (EEG)/Event related potential (ERP) approaches during a delayed production task to contrast the production of speech sequences (pseudowords) when speaking normally or under a specific speech mode: loud speech in experiment 1 and whispered speech in experiment 2. Behavioral results demonstrated that non-standard speech modes entail a behavioral encoding cost in terms of production latency. Standard speech and speech modes’ ERPs were characterized by the same sequence of microstate maps, suggesting that the same brain processes are involved to produce speech under a specific speech mode. Only loud speech entailed electrophysiological modulations relative to standard speech in terms of waveform amplitudes but also temporal distribution and strength of neural recruitment of the same sequence of microstates during a large time window (from approximatively − 220 ms to − 100 ms) preceding the vocal onset. Alternatively, the electrophysiological activity of whispered speech was similar in nature to standard speech. On the whole, speech modes and standard speech seem to be encoded through the same brain processes but the degree of adjustments required seem to vary subsequently across speech modes.
Proca stars in excited states
Authors: Joaquin Carlos , Alcubierre Miguel 
Published: February 2025

Abstract
In this paper, we consider families of solutions for excited states of Proca stars in spherical symmetry. We focus on the first two excited configurations and perform a series of fully non-linear dynamical simulations in order to study their properties and stability. Our analysis reveals that excited Proca stars are always unstable against even very small perturbations, and their dynamical evolution can lead to three different final states: collapse to a black hole, dissipation, or migration to a different configuration in the ground state. We find that migration to the ground state can only occur in a small region of the parameter space of solutions with negative binding energy.
Data management in industry: concepts, systematic review and future directions
Authors: Freitas Nelson , Rocha Andre Dionisio , Barata Jose 
Published: February 2025

Abstract
Data management, particularly in industrial environments, is increasingly vital due to the necessity of handling ever-growing volumes of information, commonly referred to as big data. This survey delves into various papers to comprehend the practices employed within industrial settings concerning data management, by searching for relevant keywords in Q1 Journals related to data management in manufacturing in the databases of WebOfScience, Scopus and IEEE. Additionally, a contextual overview of core concepts and methods related to different aspects of the data management process was conducted. The survey results indicate a deficiency in methodology across implementations of data management, even within the same types of industry or processes. The findings also highlight several key principles essential for constructing an efficient and optimized data management system.
Synthesis of ZrTiVPO4 Embedded Calcium Alginate Beads for Efficient Sorption of 152+154Eu, 133Ba, and 134 Cs from Liquid Radioactive Waste Effluents: A Comprehensive Study
Authors: Mahrous Sara S. , Mansy Muhammad S. , Breky Mohamed M. E. 
Published: February 2025

Abstract
The present work demonstrates a comprehensive study for efficiently removing some hazardous radionuclides from liquid radioactive waste using zirconium titanium vanadium phosphate/alginate (ZrTiVPO4/Alg) composite. A composite material of (ZrTiVPO4/Alg) was synthesized by the sol–gel technique and subsequently examined utilizing FT-IR, SEM, XRD, EDX, BET surface area, and TGA analyses. (ZrTiVPO4/Alg) composite beads were tested for sorption of 152+154Eu, 133Ba, and 134Cs from radioactive liquid waste. Various parameters influencing the sorption of 152+154Eu, 133Ba, and 134Cs have been investigated, such as the contact time, pH value, temperature, and initial concentration. The highest percent removal was achieved at pH 4 for 152+154Eu and pH 6 for 133Ba, and 134Cs. The equilibrium time for the sorption process was attained at 90 min. An investigation was conducted on the isotherms and kinetics of ZrTiVPO4/Alg sorption of 152+154Eu, 133Ba, and 134Cs. The Freundlich isotherm model provides a better fit (R2 = 0.988) than the Langmuir model (R2 = 0.967), suggesting a multilayer adsorption process on the ZrTiVPO4/Alg composite surface with a maximum adsorption capacity (Q

max
) 30.3, 29.4, and 21.6 mg/g for 152+154Eu, 133Ba, and 134Cs respectively. Moreover, the adsorption kinetics studies indicate that the process follows the pseudo-second-order model. Finally, a chromatographic column study has been carried out to confirm the findings obtained from the batch experiments. The column analysis revealed that the breakthrough capacities for 152+154Eu, 133Ba, and 134Cs are as follows: 23, 19, and 12 mg/g, respectively.
Environmental taxation triggers persistent psychological resistance to climate policy
Authors: Malovicki- Yaffe Nechumi , Hamairi Boaz , Bloy Leah , Fishmen Ram 
Published: February 2025

Abstract
Environmental taxation is often lauded as an effective tool for changing consumer behavior, but it can also trigger substantial psychological resistance, especially among disproportionately affected groups, such as the Jewish ultra-Orthodox (Haredi) community, potentially creating a broad anti-environmental backlash. In the current study we provide novel empirical evidence for the psychological mechanisms that can drive such reactance and its potential long-term persistence. In 2021, Israel introduced a tax on single-use plastics, only to swiftly retract it amidst vehement political opposition and a change in government. We conducted six rounds of surveys within the Haredi population, known for its heavy use of single-use plastics. Immediately after the tax’s enactment, we found a substantial decrease in “pro-climate” positions. Regression analysis showed this change to be primarily driven by a sense of victimization—being unfairly singled out by the tax for political, rather than environmental, reasons. The economic burden of the tax played a lesser role. Two years after the tax was repealed, however, the decrease in “pro-climate” positions persisted, despite a decrease in sense of victimhood. These findings shed light on the potential negative and enduring psychological and political consequences of environmental taxation. They underscore the importance of addressing underlying grievances to foster genuine engagement with climate-related issues.
Making the eyes of the state: algorithmic alienation and mundane creativity in Peruvian street-level bureaucrats
Authors: Cerna-Aragon Diego , García Luis 
Published: February 2025

Abstract
The production of state legibility has been a prolific subject of study. However, most works have not paid much attention to the quotidian labor of the street-level bureaucrats that implement legibility projects at a local level. The aim of this article is to explore the implementation of a social registry system at a local level to understand how frontline workers make the population legible. Instead of taking legibility as an object of evaluation or critique, we pay close attention to the inner workings of bureaucracies at the instances in which the sociomaterial conditions of the population are translated into data. Drawing from qualitative research in Peruvian municipalities, we describe the operations of an algorithmic system that classifies the population for the distribution of welfare. We observed how under-resourced bureaucrats were constrained by regulations and technologies of the system. Paradoxically, to make the system work for their local realities, the bureaucrats had to bend the rules and find workarounds. From this perspective, the making of legibility looks less like a top-down exercise of bureaucratic compliance or a story of domination over the population. Instead, we find actors attempting to maintain a delicate balance between inadequate legal rules, scarce resources, and sociopolitical demands.