bluuebunny/crossref_metadata_2025_split huggingface dataset:
First records of Secretargas transgariepinus (Argasidae) in Libya and Jordan: corrections of collection records and detection of microorganisms
Authors: Ševčík Martin , Špitalská Eva , Maliterná Michaela , Kabát Peter , Benda Petr 
Published: May 2024

AbstractThe primarily bat-associated argasid tick, Secretargas transgariepinus (White, 1846), is a member of the Afrotropical and southern Palaearctic fauna. Probably because of its secretive life style, little is known about this species and records of its collection are scant. Based on morphological revisions of the available specimens, we report new Middle Eastern records for this tick species that had been misidentified as other bat-associated argasid taxa. These specimens are larvae from three localities, and represent the first records of S. transgariepinus from two countries: one larva from Sabratha (Libya) was collected from an unidentified bat species (possibly Eptesicus isabellinus), seven larvae from Azraq-Shishan (Jordan), and 78 larvae from Shamwari (Jordan) were all collected from Otonycteris hemprichii. Twenty larvae from Shamwari were also tested for the presence of both, viral or bacterial microorganisms by PCR. Three ticks were found to be infected with the Murid gammaherpesvirus 68 (MHV-68), one with Borrelia burgdorferi sensu lato, and four with a Rickettsia sp. closely related to Rickettsia slovaca. The findings represent a first evidence for the occurrence of these possible pathogens in S. transgariepinus.
Asymmetric distributed trust
Authors: Alpos Orestis , Cachin Christian , Tackmann Björn , Zanolini Luca 
Published: May 2024

AbstractQuorum systems are a key abstraction in distributed fault-tolerant computing for capturing trust assumptions. They can be found at the core of many algorithms for implementing reliable broadcasts, shared memory, consensus and other problems. This paper introduces asymmetric Byzantine quorum systems that model subjective trust. Every process is free to choose which combinations of other processes it trusts and which ones it considers faulty. Asymmetric quorum systems strictly generalize standard Byzantine quorum systems, which have only one global trust assumption for all processes. This work also presents protocols that implement abstractions of shared memory, broadcast primitives, and a consensus protocol among processes prone to Byzantine faults and asymmetric trust. The model and protocols pave the way for realizing more elaborate algorithms with asymmetric trust.
Stabilization-free virtual element method for 3D hyperelastic problems
Authors: Xu Bing-Bing , Peng Fan , Wriggers Peter 
Published: May 2024

AbstractIn this work, we present a first-order stabilization-free virtual element method (SFVEM) for three-dimensional hyperelastic problems. Different from the conventional virtual element method, which necessitates additional stabilization terms in the bilinear formulation, the method developed in this work operates without the need for any stabilization. Consequently, it proves highly suitable for the computation of nonlinear problems. The stabilization-free virtual element method has been applied in two-dimensional hyperelasticity and three-dimensional elasticity problems. In this work, the format will be applied to three-dimensional hyperelasticity problems for the first time. Similar to the techniques used in the two-dimensional stabilization-free virtual element method, the new virtual element space is modified to allow the computation of the higher-order $$L_2$$

L
2

projection of the gradient. This paper reviews the calculation process of the traditional $$\mathcal {H}_1$$

H
1

projection operator; and describes in detail how to calculate the high-order $$L_2$$

L
2

projection operator for three-dimensional problems. Based on this high-order $$L_2$$

L
2

projection operator, this paper extends the method to more complex three-dimensional nonlinear problems. Some benchmark problems illustrate the capability of the stabilization-free VEM for three-dimensional hyperelastic problems.
Experiences of cohabiting partners of women diagnosed with cancer during pregnancy: a qualitative study
Authors: Sinclair Michelle , Song Richard , Peate Michelle , Saunders Christobel , Lippey Jocelyn , Umstad Mark P. , Mason Kylie , Ives Angela , Stafford Lesley 
Published: May 2024

Abstract
Purpose
When a pregnant woman is diagnosed with cancer, she faces complex and unique challenges while navigating both obstetric and oncological care. Despite often being the primary support for women diagnosed with cancer during pregnancy (CDP), little is known about the experiences of their partners. We undertook an in-depth exploration of the experiences of partners of women diagnosed with CDP in Australia.

Methods
Semi-structured interviews were conducted with partners of women diagnosed with CDP treated in Australia. Interviews explored partners’ inclusion in decision making and communication with health professionals and their own coping experiences. Data were analysed thematically.

Results
Data from interviews with 12 male partners (N = 12) of women diagnosed with CDP were analysed. Two unique themes relevant to partners were identified: ‘Partners require support to adjust to changing roles and additional burdens’ and ‘Treating the couple as a team facilitates agency and coping, but partners’ needs are placed second by all’.

Conclusion
Partners of women diagnosed with CDP commonly experience unique stressors and a substantial shift in previously established roles across multiple domains including medical advocacy, household coordination and parenting. Partners’ coping is interlinked with how the woman diagnosed with CDP is coping. Inclusion of partners in treatment decisions and communications, and considering partners’ wellbeing alongside that of the woman with CDP, is likely to be supportive for partners. In turn, this is likely to enhance the quality of support that women diagnosed with CDP receive from their partners.
Influence of cerebrospinal fluid drainage in the first days after aneurysm rupture on the severity of early brain injury following aneurysmal subarachnoid hemorrhage
Authors: Tuzi Sheri , Kranawetter Beate , Moerer Onnen , Rohde Veit , Mielke Dorothee , Malinova Vesna 
Published: May 2024

Abstract

Purpose
Progressive cerebral edema with refractory intracranial hypertension (ICP) requiring decompressive hemicraniectomy (DHC) is a severe manifestation of early brain injury (EBI) after aneurysmal subarachnoid hemorrhage (aSAH). The purpose of the study was to investigate whether a more pronounced cerebrospinal fluid (CSF) drainage has an influence on cerebral perfusion pressure (CPP) and the extent of EBI after aSAH.

Methods
Patients with aSAH and indication for ICP-monitoring admitted to our center between 2012 and 2020 were retrospectively included. EBI was categorized based on intracranial blood burden, persistent loss of consciousness, and SEBES (Subarachnoid Hemorrhage Early Brain Edema Score) score on the third day after ictus. The draining CSF and vital signs such as ICP and CPP were documented daily.

Results
90 out of 324 eligible aSAH patients (28%) were included. The mean age was 54.2 ± 11.9 years. DHC was performed in 24% (22/90) of patients. Mean CSF drainage within 72 h after ictus was 168.5 ± 78.5 ml. A higher CSF drainage within 72 h after ictus correlated with a less severe EBI and a less frequent need for DHC (r=-0.33, p = 0.001) and with a higher mean CPP on day 3 after ictus (r = 0.2351, p = 0.02).

Conclusion
A more pronounced CSF drainage in the first 3 days of aSAH was associated with higher CPP and a less severe course of EBI and required less frequently a DHC. These results support the hypothesis that an early and pronounced CSF drainage may facilitate blood clearance and positively influence the course of EBI.
Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets
Authors: Fiorin Alessio , López Pablo Carlos , Lejeune Marylène , Hamza Siraj Ameer , Della Mea Vincenzo 
Published: May 2024

AbstractThe field of immunology is fundamental to our understanding of the intricate dynamics of the tumor microenvironment. In particular, tumor-infiltrating lymphocyte (TIL) assessment emerges as essential aspect in breast cancer cases. To gain comprehensive insights, the quantification of TILs through computer-assisted pathology (CAP) tools has become a prominent approach, employing advanced artificial intelligence models based on deep learning techniques. The successful recognition of TILs requires the models to be trained, a process that demands access to annotated datasets. Unfortunately, this task is hampered not only by the scarcity of such datasets, but also by the time-consuming nature of the annotation phase required to create them. Our review endeavors to examine publicly accessible datasets pertaining to the TIL domain and thereby become a valuable resource for the TIL community. The overall aim of the present review is thus to make it easier to train and validate current and upcoming CAP tools for TIL assessment by inspecting and evaluating existing publicly available online datasets.
Nesting ecology and confirmed breeding of the invasive pond slider Trachemys scripta in an urban environment, Romania
Authors: Fănaru Geanina , Petrovan Silviu , Băncilă Raluca I. , Vizireanu Miruna G. , Drăgan Ovidiu , Vlad Sabina E. , Rozylowicz Laurentiu , Cogălniceanu Dan 
Published: May 2024

AbstractThe pond slider (Trachemys scripta) is a major invasive species in freshwater habitats across the world. For decades, the main cause of individuals’ occurrences in the wild was the illegal release of pet animals. Recently, as an important component of their management, there has been an increasing focus on their ability to successfully reproduce in the invaded regions. In Romania, the species is reported as widespread in urban wetland environments within major cities, but information about its nesting and potential breeding remains scarce or anecdotal. We surveyed a large population of pond sliders in an artificial urban wetland site in Constanţa, SE Romania, and described their nesting ecology and reproductive output. Although eggs from several nests failed to hatch or were predated, potentially limiting their reproductive success, sliders were found to breed successfully at this site, with 18.6% viable hatchlings recorded. Our study could serve as a baseline for additional targeted surveys and to inform decision-making for successfully managing this invasive species. Although the importation, trading, and breeding of this species are prohibited by EU legislation, active and effective management is now required to address the successful reproduction and further potential spread of T. scripta.
Umweltrechtliche Anforderungen an die kleine Wasserkraft im Spannungsfeld zwischen Klimaschutz und Biodiversität
Authors: Albrecht Juliane 
Published: May 2024

ZusammenfassungDer Ausbau der erneuerbaren Energien hat in Deutschland derzeit hohe Priorität. Davon zeugen
auch die zahlreichen Gesetzesvorhaben, die zur Beschleunigung deren Ausbaus in der aktuellen Legislaturperiode
in Kraft getreten bzw. noch in Vorbereitung sind. Wenngleich hierbei vor allem die Nutzung der Windenergie
und der Solarenergie im Vordergrund stehen, betreffen die gesetzlichen Neuerungen auch die Wasserkraft.
Der vorliegende Beitrag widmet sich der speziellen Problemlage der kleinen Wasserkraft im Hinblick auf ökologische
Konflikte und ihre rechtliche Bewältigung.
FLCP: federated learning framework with communication-efficient and privacy-preserving
Authors: Yang Wei , Yang Yuan , Xi Yingjie , Zhang Hailong , Xiang Wei 
Published: May 2024

AbstractWithin the federated learning (FL) framework, the client collaboratively trains the model in coordination with a central server, while the training data can be kept locally on the client. Thus, the FL framework mitigates the privacy disclosure and costs related to conventional centralized machine learning. Nevertheless, current surveys indicate that FL still has problems in terms of communication efficiency and privacy risks. In this paper, to solve these problems, we develop an FL framework with communication-efficient and privacy-preserving (FLCP). To realize the FLCP, we design a novel compression algorithm with efficient communication, namely, adaptive weight compression FedAvg (AWC-FedAvg). On the basis of the non-independent and identically distributed (non-IID) and unbalanced data distribution in FL, a specific compression rate is provided for each client, and homomorphic encryption (HE) and differential privacy (DP) are integrated to provide demonstrable privacy protection and maintain the desirability of the model. Therefore, our proposed FLCP smoothly balances communication efficiency and privacy risks, and we prove its security against “honest-but-curious” servers and extreme collusion under the defined threat model. We evaluate the scheme by comparing it with state-of-the-art results on the MNIST and CIFAR-10 datasets. The results show that the FLCP performs better in terms of training efficiency and model accuracy than the baseline method.
To Abate, or Not to Abate? The Arising of the Win–Win Solution Under Time Consistent Emission Taxation
Authors: Agliardi Elettra , Lambertini Luca 
Published: May 2024

AbstractWe analyse a model of environmental regulation where two firms can optimally decide to invest in an emission abatement technology and the regulator taxes firms’ emissions in a time-consistent manner. Depending on the values of the parameters measuring the extent of emission abatement that firms may achieve and the degree of product differentiation, we characterize the subgame perfect equilibria, developing all admissible scenarios where either both firms invest in abatement technologies, none of them do, or just one does, and show the conditions under which a win-win solution emerges, validating a strong form of Porter hypothesis. We also extend the main result to the oligopoly game with a generic number of firms.
Diversity and abundance of culturable fungal endophytes in leaves of susceptible and resistant alternate hosts of Cronartium pini and C. ribicola
Authors: Piispanen Juha , Bergmann Ulrich , Karhu Jouni , Kauppila Tuomas , Witzell Johanna , Kaitera Juha 
Published: May 2024

AbstractCronartium pini and C. ribicola are rust fungi that cause destructive diseases of pines (Pinus spp.). These rusts spread via alternate hosts, among which Melampyrum spp., Veronica spp. and Impatiens spp. are important for C. pini and Ribes spp. for C. ribicola. Congeneric alternate hosts vary in their susceptibility to Cronartium rusts, but the reasons for this variation are not clear. To clarify whether internal, endophytic fungi could explain these differences, we investigated the temporal and spatial variation in fungal endophyte composition of C. pini-resistant M. pratense, V. chamaedrys and I. glandulifera, C. pini-susceptible M. sylvaticum, V. longifolia and I. balsamina, C. ribicola-resistant R. rubrum and C. ribicola-susceptible R. nigrum. In total, 2695 fungal endophytic isolates were obtained and classified into 37 morphotypes, with 1373 cultures isolated in early summer and 1322 in late summer. Fifty-two isolates were identified to species or genus level. The most common morphotypes were identified as Heterophoma sp. Some variation in the abundance of morphotypes occurred between collection sites, but the same morphotypes dominated across the sites and species. The diversity of morphotypes was higher in early September than in late June in all species and the same morphotypes dominated in both early and late season. The diversity of fungal endophytes was higher in resistant Veronica and Ribes than in susceptible congeneric species, but the results suggest that the diversity or abundance of culturable fungal endophytes does not explain the differences in the congeneric species’ susceptibility to rust fungi.
Novel injectable calcium-magnesium phosphate cement-based composites with piezoelectric properties: advancements in bone regeneration applications
Authors: Sakar Neslihan , Ziylan Albayrak Aylin , Karakaya Merve , Adem Umut , Tansel Tunay 
Published: May 2024

AbstractDesigning a novel injectable bone cement is an important approach to the success of bone healing in minimally invasive surgeries. As natural bone has a piezoelectric property, which is crucial in bone regeneration, this study focused on the development of a novel injectable composite bone cement with piezoelectric properties. For the composite composition, calcium and zirconium doped barium titanate (BCZT) was used for its piezoelectric property, while calcium phosphate and magnesium phosphate cement (CMPC) were preferred for its bone-like properties. In this framework, first BCZT, CMPC, and their composites were prepared, and their phase structures, particle size distributions, and piezoelectric and dielectric properties were investigated. Then, the composite bone cements were prepared by mixing CMPC with BCZT in three different ratios (20%, 30%, and 40%). Next, polysorbate 80 solution was added to the cement mixtures to prepare the injectable pastes. Finally, injectability, setting time, and compressive strength of the composites were assessed. As a result, the composite bone cement containing 30% BCZT has the potential to be used as an injectable bone cement in invasive orthopedic surgery.
Ecophobia and Social Class Identity: An Ecocritical Approach to the Nature/Culture Divide in Oscar Wilde’s Fairy Tales “The Young King” and “The Star Child”
Authors: Murga Aroca Aurora 
Published: May 2024

AbstractThis article applies an ecocritical approach to the analysis of the nature/culture divide in Oscar Wilde’s “The Young King” and “The Star-Child”. These two tales contrast the realm of nature, embodied in the forest, and the realm of civilisation, represented by the city. Both stories focus on the protagonists’ journey from wilderness to the city, where not only do they need to become civilised subjects, but they are expected to govern as kings. This physical journey is matched by an internal one since both characters simultaneously undergo a transition from an animal-like state to a human one. I argue that these tales’ use of the nature/culture and animal/human dichotomies is closely connected to Wilde’s reflections about the Victorian social class system included in The Soul of Man under Socialism. Class struggle is indeed a major preoccupation in traditional folktales, where protagonists tend to magically escape from an initial disadvantaged position. Applying an ecocritical perspective to “The Young King” and “The Star-Child” helps to illustrate how these two tales manage to question the legitimacy of the hierarchical social structure by blurring the lines that separate the civilised subject from the animal one.
Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
Authors: Gao Xiaozhu , Liu Jinhui , Wan Bo , An Lingling 
Published: May 2024

AbstractHierarchical reinforcement learning (HRL) has achieved remarkable success and significant progress in complex and long-term decision-making problems. However, HRL training typically entails substantial computational costs and an enormous number of samples. One effective approach to tackle this challenge is hierarchical reinforcement learning from demonstrations (HRLfD), which leverages demonstrations to expedite the training process of HRL. The effectiveness of HRLfD is contingent upon the quality of the demonstrations; hence, suboptimal demonstrations may impede efficient learning. To address this issue, this paper proposes a reachability-based reward shaping (RbRS) method to alleviate the negative interference of suboptimal demonstrations for the HRL agent. The novel HRLfD algorithm based on RbRS is named HRLfD-RbRS, which incorporates the RbRS method to enhance the learning efficiency of HRLfD. Moreover, with the help of this method, the learning agent can explore better policies under the guidance of the suboptimal demonstration. We evaluate the proposed HRLfD-RbRS algorithm on various complex robotic tasks, and the experimental results demonstrate that our method outperforms current state-of-the-art HRLfD algorithms.
Enhancing Document Information Selection Through Multi-Granularity Responses for Dialogue Generation
Authors: Wang Meiqi , Qiao Kangyu , Xing Shuyue , Yuan Caixia , Wang Xiaojie 
Published: May 2024

AbstractDocument information selection is an essential part of document-grounded dialogue tasks, and more accurate information selection results can provide more appropriate dialogue responses. Existing works have achieved excellent results by employing multi-granularity of dialogue history information, indicating the effectiveness of multi-level historical information. However, these works often focus on exploring the hierarchical information of dialogue history, while neglecting the multi-granularity utilization in response, important information that holds an impact on the decoding process. Therefore, this paper proposes a model for document information selection based on multi-granularity responses. By integrating the document selection results at the response word level and semantic unit level, the model enhances its capability in knowledge selection and produces better responses. For the division at the semantic unit level of the response, we propose two semantic unit division methods, static and dynamic. Experiments on two public datasets show that our models combining static or dynamic semantic unit levels significantly outperform baseline models.
An Observer-Based Topology Identification and Synchronization in Finite Time for Fractional Singularly Perturbed Complex Networks via Dynamic Event-Triggered Control
Authors: Wang Lingyan , Wu Huaiqin , Cao Jinde 
Published: May 2024

AbstractThis paper investigates the topology identification and synchronization in finite time for fractional singularly perturbed complex networks (FSPCNs). Firstly, a convergence principle is developed for continuously differential functions. Secondly, a dynamic event-triggered mechanism (DETM) is designed to achieve the network synchronization, and a topology observer is developed to identify the network topology. Thirdly, under the designed DETM, by constructing a Lyapunov functional and applying the inequality analysis technique, the topology identification and synchronization condition in finite time is established in the forms of the matrix inequality. In addition, it is proved that the Zeno behavior can be effectively excluded. Finally, the effectiveness of the main results is verified by an application example.
Who is inclined to buy an autonomous vehicle? Empirical evidence from California
Authors: Rahman Md. Mokhlesur , Thill Jean-Claude 
Published: May 2024

AbstractThis study aims to investigate people’s perceptions and opinions on Autonomous Vehicles (AVs) and the key factors that influence their Behavioral Intention (BI) to purchase and use AVs. Data were sourced from the 2019 California Vehicle Survey to explore the determinants of AV purchase. A Structural Equation Model (SEM) of stated intentions is estimated to validate a theoretical framework drawn on relevant bodies of literature. The descriptive statistics show that many people are already aware of AVs. Many people also think that traveling by AVs is enjoyable, safe, and effective, although some of them would miss the joy of driving and would not entrust a driverless AV to shuttle their children. Results from the SEM indicate that being working-age adults, having children, household income, per capita income, and educational attainment are attributes positively associated with AV purchase intention. Similarly, psychological factors (e.g., perceived enjoyment, usefulness, and safety), prior knowledge of AVs, and experience with emerging technologies (e.g., electric vehicles) significantly enhance BI to purchase AVs. This study finds that family structure and psychological factors are the most influential factors of AV purchase intention, and more so than the built environment, transportation, and other socioeconomic factors.