bluuebunny/crossref_metadata_2025_split huggingface dataset:
First report of the invasive freshwater sponge Heterorotula multidentata (Weltner, 1895) in Europa: a latent threat for aquatic ecosystems?
Authors: Carballo J. L. , Cruz-Barraza J. A. , Domínguez-Monge C. , Cano C. , López-González P. J. 
Published: April 2024

AbstractFreshwater invaders threaten both natural ecosystems and human activities. An invasive freshwater sponge Heterorotula multidentata (Weltner, 1895) has been found for the first time in continental waters of Europe (Spain). It is a species native to Australia and New Zealand, from which it spread to Japan, being considered invasive. The species has been found in water intake grids of irrigation and drinking water systems in the basins of the Guadalquivir and Tajo rivers, affecting their hydrological functions. It has also been found growing on the invasive mussel Dreissena polymorpha in the Guadalquivir River. To assess the risks associated with invasive alien organisms, a detailed knowledge of their taxonomic status and distribution is necessary. A morphological and molecular evaluation confirmed that the specimens found in Spain belong to the Japanese type. A full morphological description and the fouling problems caused by the species are also provided. It is not yet clear how H. multidentata arrived at Spain, but indirect transport by other invasive freshwater species cannot be ruled out either, as H. multidentata has been found fouling the invasive species zebra mussel.
Establishing interoperability between EMF and MSDKVS: an M3-level-bridge to transform metamodels and models
Authors: Cesal Florian , Bork Dominik 
Published: April 2024

AbstractMany powerful metamodeling platforms enabling model-driven software engineering (MDSE) exist, each with its strengths, weaknesses, functionalities, programming language(s), and developer community. Platform interoperability would enable users to exploit their mutual benefits. Such interoperability would allow the transformation of metamodels and models created in one platform into equivalent metamodels and models in other platforms. Language engineers could then freely choose the metamodeling platform without risking a lock-in effect. Two well-documented and publicly available metamodeling platforms are the eclipse modeling framework (EMF) and the modeling SDK for visual studio (MSDKVS). In this paper, we propose an M3-level-bridge (M3B) that establishes interoperability between EMF and MSDKVS on the abstract syntax level and on the graphical concrete syntax level. To establish such interoperability we (i) compare the two platforms, (ii) present a conceptual mapping between them, and (iii) implement a bidirectional transformation bridge including both the metamodel and model layer. We evaluate our approach by transforming a collection of publicly available metamodels and automatically generated or manually created models thereof. The transformation outcomes are then used to quantitatively and qualitatively evaluate the transformation’s validity, executability, and expressiveness.
Production of greenhouse gases by logging residue in boreal clear-cut forests
Authors: Laihonen Antti , Aalto Sanni L. , Pihlatie Mari , Tiirola Marja 
Published: April 2024

AbstractForest deadwood is an important carbon reserve, estimated to contain 8% of the total forest carbon. This type of woody debris is recognized as a source of carbon dioxide (CO2), as the carbon is released back into the atmosphere by microbial decomposition. Production of methane (CH4) and nitrous oxide (N2O) has also been reported. In managed forests, logging residues form a major source of fine deadwood, but its role in the greenhouse gas exchange of forest ecosystems is poorly understood. We studied the greenhouse gas production of spruce and birch left-over fine woody debris and estimated the residence time of these residues at 18 spruce-dominated boreal forest sites in Central Finland. The study areas consisted of clear-cut forest stands, totally covering approximately 47 hectares, with logging residue ages varying between 0 and 10 years. The research was carried out over eight months from May to December 2019. We observed that CO2 dominated the greenhouse gas production of the logging residues, with the production being regulated by air temperature, tree species, residue age, and wood moisture. Emission of CO2 continued throughout the research period with a clear seasonal pattern. Production of CH4 and N2O was also observed, but not in climatically-relevant amounts. Deadwood half-life was estimated at 18 years for spruce and 9 years for birch. Our study demonstrates that logging residues form a mid-term carbon reserve and suggests that global warming could reduce the lifetime of the residues as a result of elevated and temperature-dependent CO2 release in the studied Myrtillus type forest stands.
Position adaptive residual block and knowledge complement strategy for point cloud analysis
Authors: Zhang Shichao , Shen Hangchi , Duan Shukai , Wang Lidan 
Published: April 2024

AbstractDue to the sparsity, irregularity and disorder of the point cloud, the tasks related to it are full of challenges. Exploring local geometric patterns and multi-scale features is effective for point cloud understanding, and promising results have been achieved. In this paper, we present a Position Adaptive Residual Block, namely PARB, for the first time. It can carry out powerful geometric signal description and feature learning. Starting from this module, we propose two extensions. First, a Position Adaptive Residual Network, called PARNet, is derived by utilizing PARB. Second, PARB can be regarded as a plug-and-play module embedded in MLP-based networks, which can remarkably enhance the performance of the backbone. We also introduce an efficient Knowledge Complement Strategy, which is part of the PARNet architecture, to make the framework perform better. Extensive experimental results on challenging benchmarks demonstrate that our PARNet delivers the new state-of-the-art on ShapeNet-Part and achieves competitive performance on ModelNet40.
Managers’ Micro-Communities Matter: The Impact of Clinical Supervision Team on Therapist Perception of the Organization
Authors: Boyd Meredith R. , Becker Kimberly D. , Park Alayna L. , Pham Kaitlyn , Chorpita Bruce F. 
Published: April 2024

AbstractPositive organizational climate — employee perceptions of their work environment and the impact of this environment on well-being and functioning — is associated with desirable organizational and client-level outcomes in mental health organizations. Clinical supervisors are well-positioned to impact organizational climate, as they serve as intermediaries between higher-level administrators who drive the policies and procedures and the therapists impacted by such decisions. This cross-sectional study examined the role of clinical supervisors as drivers of therapist perceptions of organizational climate within supervisory teams. Specifically, the present study investigated: (1) shared perceptions of organizational climate among therapists on the same supervisory team; (2) predictors of therapist climate perceptions. Eighty-six therapists were supervised by 22 supervisors. Indices of interrater agreement and interrater reliability of therapists on the same supervisory team were examined to determine shared or distinct perceptions of organizational climate. Multi-level models were used to examine whether supervisor attitudes towards evidence-based practices and therapist perceptions of supervisor communication predicted perceived organizational climate. Results showed perceptions of organizational cohesion and autonomy were shared among therapists on the same supervisory team and distinct from therapists on different supervisory teams. Therapist perceptions of their supervisor’s communication was positively associated with perceptions of organizational cohesion and autonomy. These findings align with emerging evidence that middle managers shape their employees’ experience of their work environment through communication strategies. These findings also point to the potential for intervening at lower organizational levels to improve overall organizational climate.
Increasing broad-spectrum aquatic invasive species early detection program efficiency through biased site selection and gear allocation
Authors: Towne Kristen , Huber Eric , Lajavic Janine , Wright Greg 
Published: April 2024

AbstractInvasive species cause severe environmental and economic damage throughout the globe. Aside from preventing their introduction, early detection of newly introduced species is the most successful method to prevent their establishment, spread, and eventual negative impacts. Broad-spectrum monitoring for the early detection of novel non-native species is oftentimes heavily burdened by the inherent difficulty in maximizing the detection probabilities of numerous high priority species simultaneously with only finite resources. We attempted to increase the efficiency of broad-spectrum monitoring in four locations across Lake Erie (USA)—the Detroit River, Maumee Bay, Sandusky Bay, and Cleveland—by targeting our site and gear selections to maximize overall species richness and detection rates of rare and non-native species, with the results compared to a random sampling design. Overall species richness was significantly higher in all four locations, while non-native species detection rates were significantly higher in every location except for Cleveland. Detection rates of rare species was significantly higher in Maumee Bay only. Our results indicate this selective sampling design is more likely to detect a newly introduced non-native species than a random sampling design and are in support of the established literature for broad-spectrum monitoring for novel aquatic invasive species.
Multiple introduction pathways of non-native Phoxinus minnows (Teleostei: Leuciscidae) in Corsica revealed by its hidden diversity and their parasites
Authors: Esposito Anaïs , Denys Gaël P. J. , Haÿ Vincent , Godeaux Quentin , Foata Joséphine , Quilichini Yann 
Published: April 2024

AbstractThe introduction of freshwater fish species is a leading cause of aquatic biodiversity erosion and can spread parasites to native populations. Hidden diversity evidenced by recent taxonomic revisions can add further complexity to the issue by rendering biological assessment data incomplete. The Eurasian minnows Phoxinus are one such example of cryptic diversity, with several described species being invasive. Current non-native fish populations in the small Mediterranean island of Corsica (France) are the result of successive waves of introductions, including several Phoxinus species. This study aims at determining which Phoxinus species were introduced to Corsica using the cytochrome oxidase subunit I barcoding marker, reconstructing their introduction routes and examining their parasite communities. The study found four species in Corsica: Phoxinus phoxinus and Phoxinus csikii mainly in the northernmost studied drainage basin and Phoxinus dragarum and Phoxinus septimaniae in the Tavignano drainage basin. P. phoxinus and P. csikii were most likely introduced through a live bait wholesaler while P. dragarum and P. septimaniae were probably introduced by recreational anglers bringing their bait from continental France. The molecular study of their Gyrodactylus (Platyhelminthes: Monogenea) parasites with the ITS marker allowed us to hypothesize inter-drainage basin secondary introduction routes for P. phoxinus and P. dragarum. In several sampling sites, Phoxinus minnows had black spot disease caused by encysted metacercariae of Digenea, likely Posthodiplostomum cuticola. These parasites were also found on the brown trout Salmo trutta in a locality where this patrimonial species co-occurs with Phoxinus minnows. Barcoding should be used in fish communities monitoring to help to accurately identify cryptic species.
The importance of tree species identity and trait-based winter foraging ecology of bark-foraging bird species in a large Central European floodplain forest
Authors: Ónodi Gabor , Botta-Dukát Zoltán , Winkler Dániel , Schulze Christian H. 
Published: April 2024

AbstractBeyond preferences for particular species of tree, bark-foraging birds are associated with various tree characteristics such as decay stage, trunk diameter, or bark roughness. Our objectives were to study the winter foraging ecology of different bark-foraging bird species in the highly diverse floodplain forests of Donau-Auen National Park (Austria) by examining the importance of tree species and characteristics. We used 'first-foraging' observations on the great spotted woodpecker (Dendrocopos major), middle spotted woodpecker (Leiopicus medius), Eurasian nuthatch (Sitta europaea), treecreepers (Certhia spp.), great tit (Parus major), Eurasian blue tit (Cyanistes caeruleus), and marsh tit (Poecile palustris). We examined bird-tree relationships with a bird-plant network approach, where we compared traits of trees and their preferences among avian species. The five most important tree species relative to distance-weighted fragmentation were European white elm (Ulmus laevis), pedunculate oak (Quercus robur), common ash (Fraxinus excelsior), and white and black poplar (Populus alba, P. nigra). Avian taxa differed only in the use of tree condition, where woodpeckers used decayed and dead trees more than tits. Most species preferred trees of larger trunk diameter with rougher bark. We suspect that changes in these highly diverse floodplain forest stands will eventually lead to changes in bark-foraging bird assemblages. For the protection of such highly diverse floodplain forests, conservation-based water management practices will be crucial to maintaining a sufficient groundwater table. Our findings also suggest that forest management practices should focus on more diverse commercial forest stands with a critical amount of secondary tree species, a variety of size classes, varying tree conditions, and species with different bark roughness classes.
A technical infrastructure for primary education data that contributes to data standardization
Authors: Mohseni Zeynab , Masiello Italo , Martins Rafael M. 
Published: April 2024

AbstractThere is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing, analyzing, and presenting such data. As a result, school leaders, teachers, and students do not capitalize on the possibility of making decisions based on data. This is a serious barrier to the improvement of work in schools, teacher and student progress, and the development of effective Educational Technology (EdTech) products and services. Data standards can be used as a protocol on how different IT systems communicate with each other. When working with data from different public and private institutions simultaneously (e.g., different municipalities and EdTech companies), having a trustworthy data pipeline for retrieving the data and storing it in a secure warehouse is critical. In this study, we propose a technical solution containing a data pipeline by employing a secure warehouse—the Swedish University Computer Network (SUNET), which is an interface for information exchange between operational processes in schools. We conducted a user study in collaboration with four municipalities and four EdTech companies based in Sweden. Our proposal involves introducing a data standard to facilitate the integration of educational data from diverse resources in our SUNET drive. To accomplish this, we created customized scripts for each stakeholder, tailored to their specific data formats, with the aim of merging the students’ data. The results of the first four steps show that our solution works. Once the results of the next three steps are in, we will contemplate scaling up our technical solution nationwide. With the implementation of the suggested data standard and the utilization of the proposed technical solution, diverse stakeholders can benefit from improved management, transportation, analysis, and visualization of educational data.
Varieties of Second-Personal Reason
Authors: Lewis James H. P. 
Published: April 2024

AbstractA lineage of prominent philosophers who have discussed the second-person relation can be regarded as advancing structural accounts. They posit that the second-person relation effects one transformative change to the structure of practical reasoning. In this paper, I criticise this orthodoxy and offer an alternative, substantive account. That is, I argue that entering into second-personal relations with others does indeed affect one's practical reasoning, but it does this not by altering the structure of one's agential thought, but by changing what reasons can become available. The importance of second-personal thought for action is heterogenous. Second-person relations make possible the emergence of a wide variety of different kinds of practical reasons: creating some, revealing others. Recognising this diminishes the appeal of the traditional, structural accounts of the practical significance of such second-personal relations. Moving away from structural accounts facilitates a more thorough understanding of the intersubjective form of action.
Asymmetric proptosis in thyroid eye disease
Authors: Rana Khizar , Garg Devanshu , Yong Lee Shien S. , Leyden James , Patel Sandy , Slattery James , Davis Garry , Chan Weng Onn , Selva Dinesh 
Published: April 2024

Abstract
Purpose
Patients with thyroid eye disease (TED) can present with asymmetric disease. The purpose of this study was to evaluate the prevalence of asymmetric TED in an Australian cohort and investigate clinical, biochemical, and radiological associations of asymmetric TED.

Methods
This was a retrospective study of patients with TED who underwent Hertel exophthalmometry and orbital computed tomography (CT) scans. Asymmetry was defined as a difference in the globe protrusion of ≥ 3 mm using Hertel exophthalmometry. Data was collected on patient demographics, clinical disease presentation, thyroid function tests and antibody levels. Muscles volumes were determined by manually segmenting the extraocular muscles on CT scans using a commercially available software.

Results
172 orbits from 86 patients were included in the study. 28 (33%) patients had asymmetric TED. No significant differences were observed in age, gender, thyroid hormone status, anti-thyroid peroxidase levels, thyroid stimulating hormone receptor antibodies, disease activity status, or dysthyroid optic neuropathy between the asymmetric and non-asymmetric groups. The extraocular muscle volumes were significantly higher in the asymmetric orbit compared to its contralateral orbit.

Conclusion
Asymmetric TED is a reasonably common occurrence in the course of TED. It is associated with higher extraocular muscle volumes, suggesting muscle enlargement as one of the underlying contributors to asymmetric proptosis. Thyroid eye disease should be considered in the differential of asymmetric orbital inflammatory disease.
Curvature Scale Space LiDAR Odometry And Mapping (LOAM)
Authors: Gonzalez Clayder , Adams Martin 
Published: April 2024

AbstractThe LiDAR Odometry and Mapping (LOAM) algorithm ranks in second place in the Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI), Visual Odometry/SLAM Evaluations. It utilizes a feature extraction algorithm based on the evaluation of the curvature of points under test, to produce estimated smooth and non-smooth regions within typically laser based Point Cloud Data (PCD). This feature extractor (FE) however, does not take into account PCD spatial or detection uncertainty, which can result in the divergence of the LOAM algorithm. Therefore, this article proposes the use of the Curvature Scale Space (CSS) algorithm as a replacement for LOAM’s current feature extractor. It justifies the substitution, based on the CSS algorithm’s similar computational complexity but improved feature detection repeatability. LOAM’s current feature extractor and the proposed CSS feature extractor are tested and compared with simulated and real data, including the KITTI odometry-laser data set. Additionally, a recent deep learning based LiDAR Odometry (LO) algorithm, the Convolutional Auto-Encoder (CAE)-LO algorithm, will also be compared, using this data set, in terms of its computational speed and performance. Performance comparisons are made based on the Absolute Trajectory Error (ATE) and Cardinalized Optimal Linear Assignment (COLA) metrics. Based on these metrics, the comparisons show significant improvements of the LOAM algorithm with the CSS feature extractor compared with the benchmark versions.
Changes in Personality Functioning and Pathological Personality Traits as a Function of Treatment: A Feasibility Study
Authors: Kiel Lennart , Hopwood Christopher J. , Lind Majse 
Published: April 2024

AbstractWith the dimensional shift, personality pathology is now commonly conceptualized using a combination of personality functioning and (pathological) personality traits. Personality functioning has been deemed more sensitive to treatment than the specific trait combination of personality problems. To empirically examine just that, the goal of this pilot study was to simultaneously compare changes in personality functioning (LPFS-BF 2.0), pathological traits (PID-5-BF), and normal-range traits (BFI-2) among individuals receiving integrative, dynamic-relational psychotherapy (baseline n = 52, follow-up n = 31) and a matched control group (n = 31). The results showed that clients had stronger changes in personality functioning than in traits when compared to the control group. In addition, clients lower on personality functioning were more inclined to drop-out of therapy. This study points to the unique clinical utility of personality functioning and provides a foundation for future research focusing on the sensitivity of personality functioning and personality traits to changes within the context of psychotherapy.
A 2-dimensional modelling of the coating process of nickel on polyurethane foam via electrodeposition
Authors: Ghiasi N. , Kunz F. , Jung A. , Diebels S. 
Published: April 2024

AbstractA numerical model is proposed to investigate the electrodeposition coating process of open-porous polyurethane (PU) foams with nickel. The modelling approach is based on the mixture theory, which accounts for the multi-phase nature of the system comprising the porous foam structure and the electrolyte which consists of the deposition material in form of cations. The model takes into consideration various physical and electrochemical phenomena, including different ionic transport mechanisms, i.e. diffusion, convection and migration. By solving the governing equations numerically, the coating process and the relevant variables are predicted over time. The simulation results are compared with experimental data to assess the agreement between the model and the experimental results. The findings reveal that the numerical model provides valuable insights into the electrodeposition process and facilitates a deeper understanding of the underlying mechanisms and it can be used for optimizing the coating process parameters.