bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anthropization and host habitat influence the abundance of Dermanyssoidea and Trombiculoidea in northwestern Mexico
Authors: Herrera-Mares Angel , Rico-Chávez Oscar , Márquez-Hernández Roberto I. , Fernández-González Adriana M. , Chaves Andrea , Guzmán-Cornejo Carmen , Suzán Gerardo 
Published: February 2025

Abstract
The factors influencing the distribution and abundance of ectoparasites in vertebrates have been thoroughly examined in rodents, particularly concerning ticks and fleas. However, there is a paucity of knowledge regarding mites. The aim of this study was to determine if host or landscape traits are responsible for the abundance of dermanyssoid and trombiculoid mites. Rodent captures were carried out in the northwest region of Mexico between 2018 and 2022 in order to collect mites of the superfamilies Dermanyssoidea and Trombiculoidea. We generated generalized linear models to determine if rodent characteristics or the Index of Relative Anthropization (IRA) contribute to the relative abundance of Dermanyssoidea and Trombiculoidea. The best generalized linear model for Dermanyssoidea suggests that mite abundance is influenced by the IRA and the terrestrial rodent abundance. There is a relationship between the abundance of terrestrial rodents and dermanyssoid mites. Data show that as anthropization increases, Dermanyssoidea abundance decreases. The model shows rodent abundance, and the IRA are key factors in Trombiculoidea abundance. Our findings indicate that trombiculoid mites increase alongside rodents but decline as the IRA increases. This is the first study to use an index to investigate the impact of relative anthropization on Dermanyssoidea and Trombiculoidea in Mexico.
Enhanced code reviews using pull request based change impact analysis
Authors: Göçmen Ismail Sergen , Cezayir Ahmed Salih , Tüzün Eray 
Published: February 2025

Abstract

Context
Code reviewing is an essential yet challenging activity due to the potential repercussions associated with changes to the codebase. While version control highlights differences between versions, it may not adequately alert developers to potential side effects of changes. Change impact analysis alongside code differences can guide reviewers in making informed decisions.

Objective
We aim to enhance the code review process by providing helpful insights to reviewers by analyzing change impact.

Method
We propose a novel change impact analysis approach with the granularity of pull requests by combining call graph-based dependency analysis and history mining techniques. By utilizing these, we calculate several file metrics and an overall risk score for each pull request. To validate the approach, we conducted two focus group sessions, including a feature feedback survey, a tool demo, a post-demo survey, and focus group discussions. Additionally, we performed experiments on three open-source projects to evaluate the computational feasibility.

Results
From the focus groups, our approach received an average of 3.66 out of 5.0 for enhancing the code review experience across five aspects. The current risk score formula averaged 3.2 out of 5.0 for accurately representing change impact, with 71% agreement on the selected metrics. Experiments confirmed computational viability, with analysis times ranging from 7.4 to 22.43 seconds.

Conclusions
Our study underscores the potential benefits of integrating change impact analysis into the code review process. By leveraging this approach, developers can conduct more thorough reviews, enhancing their ability to detect and mitigate potential issues arising from code changes.
Modified Singly-Runge–Kutta-TASE Methods for the Numerical Solution of Stiff Differential Equations
Authors: Calvo M. , Montijano J. I. , Rández L. 
Published: February 2025

Abstract
Singly-TASE operators for the numerical solution of stiff differential equations were proposed by Calvo et al. in J.Sci. Comput. 2023 to reduce the computational cost of Runge–Kutta-TASE (RKTASE) methods when the involved linear systems are solved by some LU factorization. In this paper we propose a modification of these methods to improve the efficiency by considering different TASE operators for each stage of the Runge–Kutta. We prove that the resulting RKTASE methods are equivalent to W-methods (Steihaug and Wolfbrandt, Mathematics of Computation,1979) and this allows us to obtain the order conditions of the proposed Modified Singly-RKTASE (MSRKTASE) methods through the theory developed for the W-methods. We construct new MSRKTASE methods of order two and three and demonstrate their effectiveness through numerical experiments on both linear and nonlinear stiff systems. The results show that the MSRKTASE schemes significantly enhance efficiency and accuracy compared to previous Singly-RKTASE (SRKTASE) schemes.
Bethe algebra using pure spinors
Authors: Ekhammar Simon , Volin Dmytro 
Published: February 2025

Abstract
We explore a

$${\mathfrak {gl}}_{r}$$

gl
r

-covariant parameterisation of Bethe algebra appearing in

$${\mathfrak {so}}_{2r}$$

so

2
r

integrable models, demonstrate its geometric origin from a fused flag, and use it to compute the spectrum of periodic rational spin chains, for various choices of the rank r and Drinfeld polynomials.
Prospectivity Modeling of Devonian Intrusion-Related W–Mo–Sb–Au Deposits in the Pokiok Plutonic Suite, West-Central New Brunswick, Canada, Using a Monte Carlo-Based Framework
Authors: Karbalaeiramezanali Amirabbas , Parsa Mohammad , Lentz David R. , Thorne Kathleen G. 
Published: February 2025

Abstract
The Pokiok Plutonic Suite (PPS) lies within the southern segment of New Brunswick's Central Plutonic Belt, Canada. The PPS exhibits significant Devonian intrusive events, including four main phases, namely the Hartfield Tonalite, the Hawkshaw Granite, the Skiff Lake Granite, and the Allandale Granite, hosting notable intrusion-related W–Mo–Sb–Au deposits. This study aimed to identify potential exploration targets for intrusion-related W–Mo–Sb–Au deposits using knowledge-driven mineral prospectivity mapping (MPM) techniques. Model- and judgment-related uncertainties undermine the reliability of knowledge-driven MPM. This study adopted a multifaceted approach, combining the mineral systems approach, parsimonious weighting methods, Monte Carlo simulation (MCS), and a risk–return analysis, to mitigate the effects of these uncertainties on MPM. We employed three multi-criteria decision-making systems, namely MCS-based Best Worst Method (BWM) with Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) (MCS–BWM–MARCOS), MCS-based Full Consistency Method (FUCOM) with MARCOS (MCS–FUCOM–MARCOS), and MCS-based Level Based Weight Assessment (LBWA) with MARCOS (MCS–LBWA–MARCOS), for MPM, with MCS–LBWA–MARCOS exhibiting the highest accuracy. The risk–return analysis was employed to interpret the results of our models. Low-risk, high-return cells reduced the search space for mineral exploration by ~ 15%, while predicting ~ 73% of the known intrusion-related W–Mo–Sb–Au occurrences. The methodology applied herein allows for a more confident selection of exploration targets using knowledge-driven MPM.
Broadband vibration energy harvesting using nonlinear multi degree-of-freedom mechanical filters
Authors: Song Kailing , Bonnin Michele , Traversa Fabio L. , Bonani Fabrizio 
Published: February 2025

Abstract
We introduce the model of a networked energy harvester for random ambient vibrations, made of mechanically coupled oscillators. The networked harvester is equivalent to a mechanical filter, and it can be modeled as a chain of masses, coupled pairwise by nonlinear elastic springs. Ambient mechanical vibrations are modeled as a low-pass filtered white Gaussian noise, and a piezoelectric transducer is used to convert mechanical kinetic energy into electrical energy. We derive the nonlinear equations of motion for the harvester, together with formulas for the average harvested power and power efficiency. An approximate analytical solution is presented and compared with numerical simulations. Finally, we discuss the optimization of the networked harvester, based on a gradient ascent algorithm combined with Nesterov’s momentum method. We show that, after proper optimization, the mechanically coupled energy harvester scavenges more power than a single mass-spring energy harvester.
In-vitro Evaluation of Solution Pressurised Metered Dose Inhaler Sprays with Low-GWP Propellants
Authors: Duke Daniel J. , Rao Lingzhe , Myatt Benjamin , Cocks Phil , Stein Stephen , Marasini Nirmal , Ong Hui Xin , Young Paul 
Published: February 2025

Abstract

Purpose
The transition from high Global Warming Potential (GWP) propellants such as HFA134a to low-GWP alternatives such as HFA152a and HFO1234ze(E) in pressurised metered dose inhalers (pMDIs) poses a number of challenges for inhaled pharmaceutical product development. Changes in chemicophysical properties will alter product performance, impacting in-vitro bioequivalence metrics. This study investigates those differences using equivalent pMDI hardware and formulations.

Methods
Aerodynamic particle size distribution (APSD) measurements, laser diffraction and high-speed imaging were used to compare the performance of HFA134a, HFA152a and HFO1234ze(E) solution formulations of beclomethasone dipropionate. Propellant-only placebos, cosolvent-free solutions, and ethanol solutions at 8% and 15% w/w were investigated.

Results
HFA152a formulations had increased drug deposition on the actuator and throat while HFO1234ze(E) produced comparable APSD performance to HFA134a formulations. Plumes from HFA152a formulations spread more rapidly and were less stable and repeatable than those from HFA134a. HFO1234ze(E) plumes spread more slowly than HFA134a, but converged with HFA134a ex-mouthpiece. Differences between propellants were moderated by the addition of ethanol.

Conclusion
Plume stability is a driver of differences between formulations in the near-orifice region. Shot-to-shot repeatability differences are more pronounced ex-mouthpiece, where mixing with ambient air is dominant. Modifications to low-GWP pMDI product actuator orifice and mouthpiece geometries may provide a route to improved in-vitro product bioequivalence relative to current pMDIs. Differences between formulations are modest and may be managed through a combination of formulation, orifice and mouthpiece geometry changes. These generic formulations provide a database of benchmark data against which the performance of low-GWP products may be compared.
Migration Amidst Conflict and Cumulative Causation: An Analysis of International & Domestic Migration in Thailand’s Southernmost Provinces
Authors: Korinek Kim , Sawangdee Yothin , Jirapramukpitak Tawanchai , Jampaklay Aree 
Published: February 2025

Abstract
Thailand’s southernmost provinces (TSP) have experienced prolonged insurgency violence and economic deprivation, leading to substantial outmigration. Examining how the two factors interact to shape migration decision-making will provide a broader understanding of how they influence migration in other regions. In this study, we hypothesize that: (1) Residents of TSP will be more likely to migrate out of their province if they reside in households and villages that are replete with migrant social networks, (2) The experience of insurgency violence in one’s proximity will have an association with migration, and (3) Migration networks at the household and village levels will interact with insurgency violence to influence first migration trips. We analyze data from a survey conducted among a representative sample of the Muslim adult population residing in TSP in 2014, with a follow-up survey in 2016. Householdand community-level variables included information on international and domestic first migration, cumulative migration context, insurgency events, and other individual- and household-level covariates. Generalized structural equation models indicate that the likelihood of a first outmigration is greater among adults residing in households and villages that have already accumulated international migration experience. The likelihood is also greater among those living in villages impacted by frequent insurgency violence incidents. The findings suggest that outmigration is underpinned by a combination of cumulative migration processes and violence. As rising segments of the world’s population undertake migration to both flee violence and to survive economically, it becomes increasingly important to develop theories that address both human and economic security concerns.
Quantifying chlorophylls in melanic lichens: the necessity of separating the absorbance of melanin and chlorophyll
Authors: Solhaug Knut Asbjørn , Gauslaa Yngvar 
Published: February 2025

Abstract
This study investigates extraction and quantification techniques for chlorophylls (Chl) in melanic lichens, with an emphasis on distinguishing between Chl and melanin absorbance during spectrophotometric assessments. We compared various extraction protocols, involving solvents such as dimethyl sulfoxide (DMSO) and acetone, and methods including intact thalli extraction, mortar grinding, and ball mill pulverizing. Three correction methods for melanic absorbance were also compared. Our findings indicated that DMSO was superior for Chl extraction compared to acetone, and differences in efficiency among the DMSO methods were minor. Correction for co-extracted melanin was deemed vital for accurate Chl quantification. The use of a C18 minicolumn was found to be effective for separating Chl and melanic pigments, providing reliable measurements of total Chl and Chl a/b-ratios. This method offers a simple cost-effective approach for Chl quantification in extracts containing a mix of Chl and other red light-absorbing pigments.
Vivianite as a phosphorus source in lake sediments: Importance of increased sulphate reduction on phosphorus mobilisation
Authors: van Kuppevelt Harm , Reitzel Kasper , Hupfer Michael 
Published: February 2025

Abstract

Purpose
Eutrophication of freshwater systems is primarily driven by excessive nutrient inputs, particularly phosphorus (P). While external nutrient control has been emphasized, the prediction and management of internal P loading from sedimentary sources remain complex. This study examines the role of vivianite (Fe(II)3(PO4)2·8H2O), a P-bearing mineral in anoxic sediments, in contributing to internal P release under sulfidic conditions.

Materials and methods
A mesocosm experiment was conducted using sediment cores from Lake Arendsee, Germany. The cores were exposed to elevated sulfate concentrations to induce sulfate reduction, simulating anoxic and sulfidic conditions. Both water column chemistry and sediment solid-phase analyses were performed. Phosphorus release from vivianite-rich sediments was monitored, along with changes in iron (Fe) mineral phases using sequential extraction and X-ray diffraction.

Results and discussion
Increased sulfate reduction rates significantly mobilized P from vivianite-rich sediments, leading to elevated soluble reactive P levels in the water column. A marked decrease in vivianite content and an increase in sulfide-bound Fe species were observed in the sediments. These findings demonstrate that vivianite in Fe-rich sediments serves as an important internal P source under sulfidic conditions, exacerbating P release.

Conclusions
This study highlights the role of sulfur cycling in internal P loading and suggests that increased sulfate inputs may enhance eutrophication by mobilizing P from buried vivianite. Effective management of eutrophication should consider both external inputs and internal P sources like vivianite.
A Simple Framework for Agent-Based Modeling with Extracellular Matrix
Authors: Metzcar John , Duggan Ben S. , Fischer Brandon , Murphy Matthew , Heiland Randy , Macklin Paul 
Published: February 2025

Abstract
Extracellular matrix (ECM) is a key component of the cellular microenvironment and critical in multiple disease and developmental processes. Representing ECM and cell-ECM interactions is a challenging multiscale problem as they span molecular-level details to tissue-level dynamics. While several computational frameworks exist for ECM modeling, they often focus on very detailed modeling of individual ECM fibers or represent only a single aspect of the ECM. Using the PhysiCell agent-based modeling platform, we developed a framework of intermediate detail with the ability to capture bidirectional cell-ECM interactions. We represent a small region of ECM, an ECM element, with three variables describing its local microstructure: anisotropy, density, and overall fiber orientation. To spatially model the ECM, we use an array of ECM elements. Cells remodel local ECM microstructure and in turn, local microstructure impacts cellular motility. We demonstrate the utility of this framework and reusability of its core cell-ECM interaction model through examples in cellular invasion, wound healing, basement membrane degradation, and leader-follower collective migration. Despite the relative simplicity of the framework, it is able to capture a broad range of cell-ECM interactions of interest to the modeling community. Furthermore, variables representing the ECM microstructure are accessible through simple programming interfaces. This allows them to impact cell behaviors, such as proliferation and death, without requiring custom code for each interaction, particularly through PhysiCell’s modeling grammar, enabling rapid modeling of a diverse range of cell-matrix biology. We make this framework available as a free and open source software package at https://github.com/PhysiCell-Models/collective-invasion.
Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography
Authors: Kim Su Hwan , Schramm Severin , Riedel Evamaria Olga , Schmitzer Lena , Rosenkranz Enrike , Kertels Olivia , Bodden Jannis , Paprottka Karolin , Sepp Dominik , Renz Martin , Kirschke Jan , Baum Thomas , Maegerlein Christian , Boeckh-Behrens Tobias , Zimmer Claus , Wiestler Benedikt , Hedderich Dennis M. 
Published: February 2025

Abstract

Purpose
To determine how automation bias (inclination of humans to overly trust-automated decision-making systems) can affect radiologists when interpreting AI-detected cerebral aneurysm findings in time-of-flight magnetic resonance angiography (TOF-MRA) studies.

Material and Methods
Nine radiologists with varying levels of experience evaluated twenty TOF-MRA examinations for the presence of cerebral aneurysms. Every case was evaluated with and without assistance by the AI software © mdbrain, with a washout period of at least four weeks in-between. Half of the cases included at least one false-positive AI finding. Aneurysm ratings, follow-up recommendations, and reading times were assessed using the Wilcoxon signed-rank test.

Results
False-positive AI results led to significantly higher suspicion of aneurysm findings (p = 0.01). Inexperienced readers further recommended significantly more intense follow-up examinations when presented with false-positive AI findings (p = 0.005). Reading times were significantly shorter with AI assistance in inexperienced (164.1 vs 228.2 s; p < 0.001), moderately experienced (126.2 vs 156.5 s; p < 0.009), and very experienced (117.9 vs 153.5 s; p < 0.001) readers alike.

Conclusion
Our results demonstrate the susceptibility of radiology readers to automation bias in detecting cerebral aneurysms in TOF-MRA studies when encountering false-positive AI findings. While AI systems for cerebral aneurysm detection can provide benefits, challenges in human–AI interaction need to be mitigated to ensure safe and effective adoption.
Chronological change of gallbladder fossa nodularity in the liver as observed in patients with alcoholic liver disease: cross-sectional and longitudinal observation
Authors: Sato Keisuke , Hisatomi Eiko , Tanaka Shinji , Goto Nahoko , Murayama Ryo , Takayama Yukihisa , Yoshimitsu Kengo 
Published: February 2025

Abstract

Purpose
To confirm the concept that gallbladder fossa nodularity (GBFN) as observe in patients with alcoholic liver disease (ALD) develops in a biphasic fashion as the cirrhotic process progresses, by clarifying the sequential or chronological change of GBFN both in cross-sectional and longitudinal analyses.

Materials and methods
We retrospectively recruited 52 ALD patients who had both quadruple phase CT and gadoxetate-enhanced MRI (EOB-MRI) within 6 months between 2013 and 2020, and GBFN were morphologically classified into grades 0–3, as previously described. As a cross-sectional study, correlation coefficients (rho values) between mALBI grades and GBFN grades were compared for monophasic vs biphasic models. Biphasic models were defined based on the median values of liver stiffness as measured by MR elastography and extracellular volume fraction as calculated from CT data. Similar analysis was done for GBFN signal intensity on hepatobiliary phase of EOB-MRI (HBP-SI). As a longitudinal study, we recruited patients for whom at least 3-year follow-up of GBFN were available using any CT or MR imaging examination.

Results
As for cross-sectional study, the rho values for the biphasic model were significantly larger than those for the monophasic model, both for GBFN grades and HBP-SI (p < 0.01). As for the longitudinal study, 10 patients were available, 6 of whom showed downgrading of GBFN as the cirrhotic change progressed.

Conclusion
Our cross sectional and longitudinal analyses suggested GBFN would develop in a biphasic pattern both on morphology and HBP-SI as the cirrhotic process progresses.
The development of wear-resistant composite coatings onto LLDPE substrate for tribological purposes
Authors: Difallah Basma Ben , Bouaziz Ayda , Pereira António , Kharrat Mohamed , Cardoso César , Dammak Maher , Horovistiz Ana 
Published: February 2025

Abstract
In this work, the wear resistance of the linear low-density polyethylene polymer (LLDPE) is enhanced by incorporating copper (Cu) and bronze powders into thin composite coatings. These coatings are applied separately to the LLDPE substrate using an ecologically friendly elaboration methodology. Digital image processing methodology indicates better homogeneity of LLDPE/Cu coatings when compared to the LLDPE/bronze coatings. Mechanical characterizations of the coating film show a significant increase in the tensile elastic modulus, tensile yield strength, and Vickers microhardness as the filler content increases. Reciprocating friction tests against high-chromium steel ball indicate that the friction coefficient of LLDPE/Cu composite coatings (with a 20% weight fraction) decreases by 24% compared to pure LLDPE, providing the best friction results. Bronze coatings show superior wear resistance with an optimum filler reinforcement equal to 10 wt%. An increase in the friction and wear performances of LLDPE/Cu coatings is associated with the ability of copper atoms in enhancing the adhesion of the transfer film to the steel counterface, preventing its direct contact with the coating. The transfer film is less coherent than that obtained with LLDPE/Cu coatings due to the spherical shape of bronze particles, which could act as bearing and roll inside the wear track.