bluuebunny/crossref_metadata_2025_split huggingface dataset:
Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks
Authors: Gubelmann Reto , Katis Ioannis , Niklaus Christina , Handschuh Siegfried 
Published: November 2023

AbstractTransformer-based Pre-Trained Language Models currently dominate the field of Natural Language Inference (NLI). We first survey existing NLI datasets, and we systematize them according to the different kinds of logical inferences that are being distinguished. This shows two gaps in the current dataset landscape, which we propose to address with one dataset that has been developed in argumentative writing research as well as a new one building on syllogistic logic. Throughout, we also explore the promises of ChatGPT. Our results show that our new datasets do pose a challenge to existing methods and models, including ChatGPT, and that tackling this challenge via fine-tuning yields only partly satisfactory results.
Psychodrama with children
Authors: Krall Hannes 
Published: November 2023

AbstractPsychodrama with children offers various forms of social pedagogical support for psychosocially impaired and biographically burdened children. The acting approach in the group, the possibility of symbolisation in role play and the joint creation in the group open up possibilities for expression and learning to expand one’s own repertoire of actions.The article presents psychodramatic work with social-emotionally stressed children. Changes in the children’s social interactions and their role developments in the course of the work are described and examined with the help of an accompanying practical research project. A case study is used to explain the psychodramatic work process and the subsequent analysis.
Molecular Dynamics Simulation of Diffusion Behavior in Liquid Sn and Pb
Authors: Shiinoki Masato , Hirata Akihiko , Suzuki Shinsuke 
Published: November 2023

AbstractThis study aimed to clarify the effect of a unique structure with a “shoulder,” which represents a hump on the high wave vector side of the first peak of static structure factor, in liquid Sn (liq-Sn) on the self-diffusion behavior through molecular dynamics (MD) simulation. The MD simulations of liq-Sn at 573 K and liquid Pb (liq-Pb) at 773 K were performed for comparison. The former and latter were selected as element with and without shoulder structure and reliable self-diffusion coefficients in liquid have been measured in both elements. The calculated self-diffusion coefficients of liq-Sn and liq-Pb were reproduced as the same order of magnitude with the referred reliable data of diffusion coefficients, which were obtained by experiments on the ground. The microscopic diffusion behavior of liq-Sn is unlike that of the hard-sphere model because the atoms become sluggish in the range that corresponds to the shoulder appearing in the pair distribution function of liq-Sn as well as in the structure factor of liq-Sn based on the local atomic configurations and time-series analyses of individual atoms. Therefore, the velocity autocorrelation function (VACF) converges to zero more rapidly than that of liq-Pb, and it is reproduced by the hard-sphere model. However, the macroscopic diffusion behavior of liq-Sn expressed by the self-diffusion coefficient is the same as that of the hard-sphere model with the non-correlation of the VACF in the long time.
Impact of Microstructure on Remelting Parameters and Mechanical Behavior of Thermally Sprayed NiCrBSi Coating
Authors: Habib K. A. , Cano D. L. , Serrano-Mira J. , Encinas Emilo Rayón , Dosta R. S. 
Published: November 2023

AbstractThe present study concerns controlling and quantifying the impact of the remelting thermos-cycle curve parameters on the microstructure evolution and mechanical properties of remelted NiCrBSi coatings. This coating was chosen for this study because it shows good results while subjected to heat treatment. Understanding heat transfer during the remelting of porous coatings NiCrBSi remains a significant challenge in the coating technology and industry. Two different thermal spraying technologies are used: oxygen fuel (OF) and high-velocity oxygen fuel (HVOF). The working temperature versus time were monitored using infrared thermal imaging during surface flame melting (SFM). Optical, electron microscopy and characterization are utilized to investigate the impact of porosity and precipitates size on cooling curve parameters. X-ray diffraction is used for the phase analysis of NiCrBSi coatings as-sprayed and after remelting. Two methodological innovations are introduced; the quantification of the remelting cooling rate and the utilization of the thermo-cycles curve to calculate the energy required for the remelting. The results obtained suggest the size of the resulting precipitates highly depends on the cooling rate, rather than on the subcooling; the porosity of the as-spray coating has a significant effect on the size of the precipitates obtained and that the size of the precipitates has a similar effect to the porosity size on the fracture toughness.
Phospholipidomics in Clinical Trials for Brain Disorders: Advancing our Understanding and Therapeutic Potentials
Authors: Hachem Mayssa , Ahmmed Mirja Kaizer , Nacir-Delord Houda 
Published: November 2023

Abstract
Phospholipidomics is a specialized branch of lipidomics that focuses on the characterization and quantification of phospholipids. By using sensitive analytical techniques, phospholipidomics enables researchers to better understand the metabolism and activities of phospholipids in brain disorders such as Alzheimer’s and Parkinson’s diseases. In the brain, identifying specific phospholipid biomarkers can offer valuable insights into the underlying molecular features and biochemistry of these diseases through a variety of sensitive analytical techniques. Phospholipidomics has emerged as a promising tool in clinical studies, with immense potential to advance our knowledge of neurological diseases and enhance diagnosis and treatment options for patients. In the present review paper, we discussed numerous applications of phospholipidomics tools in clinical studies, with a particular focus on the neurological field. By exploring phospholipids’ functions in neurological diseases and the potential of phospholipidomics in clinical research, we provided valuable insights that could aid researchers and clinicians in harnessing the full prospective of this innovative practice and improve patient outcomes by providing more potent treatments for neurological diseases.

Graphical Abstract
Artificial intelligence for improving public transport: a mapping study
Authors: Jevinger Å. , Zhao C. , Persson J. A. , Davidsson P. 
Published: November 2023

AbstractThe objective of this study is to provide a better understanding of the potential of using Artificial Intelligence (AI) to improve Public Transport (PT), by reviewing research literature. The selection process resulted in 87 scientific publications constituting a sample of how AI has been applied to improve PT. The review shows that the primary aims of using AI are to improve the service quality or to better understand traveller behaviour. Train and bus are the dominant modes of transport investigated. Furthermore, AI is mainly used for three tasks; the most frequent one is prediction, followed by an estimation of the current state, and resource allocation, including planning and scheduling. Only two studies concern automation; all the others provide different kinds of decision support for travellers, PT operators, PT planners, or municipalities. Most of the reviewed AI solutions require significant amounts of data related to the travellers and the PT system. Machine learning is the most frequently used AI technology, with some studies applying reasoning or heuristic search techniques. We conclude that there still remains a great potential of using AI to improve PT waiting to be explored, but that there are also some challenges that need to be considered. They are often related to data, e.g., that large datasets of high quality are needed, that substantial resources and time are needed to pre-process the data, or that the data compromise personal privacy. Further research is needed about how to handle these issues efficiently.
Cardiac rehabilitation for patients with obesity: lessons learned from the OPTICARE XL trial
Authors: den Uijl Iris , Sunamura Madoka , Brouwers Rutger M. W. , Stam Henk J. , Boersma Eric , van den Berg-Emons Rita J. G. , ter Hoeve Nienke 
Published: November 2023

AbstractObesity is a known and commonly encountered risk factor for the development of cardiac diseases. Patients with cardiac diseases who also have obesity do not benefit optimally from standard cardiac rehabilitation (CR) programs. Exercises performed during CR are not the best fit for patients with obesity and counselling sessions often do not address their specific needs. OPTICARE XL is the first large multicentre randomised controlled trial to investigate the added value of a dedicated one-year CR program specifically designed for patients with obesity and integrated in daily practice. The short-term effects on body weight and physical activity were promising and patients with obesity experienced the program as highly desirable. However, the OPTICARE XL CR program did not show long-term added value compared with standard CR on health-related quality of life, psychosocial well-being, body weight, physical activity and physical fitness, nor on costs. The current article offers an overview of the background of this trial and discusses the most important results of the OPTICARE XL trial and the reasons behind the unanticipated long-term outcomes. Furthermore, it offers recommendations for future research and how to redesign the OPTICARE XL CR program to expand the short-term results.
Motor Rehabilitation Provides Modest Functional Benefits After Intracerebral Hemorrhage: a Systematic Review and Meta-Analysis of Translational Rehabilitation Studies
Authors: Fedor Britt A. , Sander Noam H. , MacLaren Maxwell , Liddle Lane J. , MacLellan Crystal L. , Colbourne Frederick 
Published: November 2023

AbstractFew certainties exist regarding the optimal type, timing, or dosage of rehabilitation after stroke. Despite differing injury mechanisms and recovery patterns following ischemic and hemorrhagic stroke, most translational stroke research is conducted after ischemia. As we enter the era of personalized medicine, exploring subtype-specific treatment efficacy is essential to optimizing recovery. Our objective was to characterize common rehabilitation interventions used after in vivo preclinical intracerebral hemorrhage (ICH) and assess the impact of post-ICH rehabilitation (vs. no-rehabilitation) on recovery of motor function. Following PRISMA guidelines, a systematic review (Academic Search Complete, CINAHL, EMBASE, Medline, PubMed Central) identified eligible articles published up to December 2022. Risk of bias (SYRCLE) and study quality (CAMARADES) were evaluated, and random-effects meta-analysis was used to assess treatment efficacy in recovery of forelimb and locomotor functions. Thirty articles met inclusion criteria, and 48 rehabilitation intervention groups were identified. Most used collagenase to model striatal ICH in young, male rodents. Aerobic exercise, enriched rehabilitation, and constraint-induced movement therapy represented ~ 70% of interventions. Study quality was low (median 4/10, range 2–8), and risk of bias was unclear. Rehabilitation provided modest benefits in skilled reaching, spontaneous impaired forelimb use, and locomotor function; however, effects varied substantially by endpoint, treatment type, and study quality. Rehabilitation statistically improves motor function after preclinical ICH, but whether these effects are functionally meaningful is unclear. Incomplete reporting and variable research quality hinder our capacity to analyze and interpret how treatment factors influence rehabilitation efficacy and recovery after ICH.
Dermatophytes and mammalian hair: aspects of the evolution of Arthrodermataceae
Authors: Tang Chao , Zhou Xin , Guillot Jacques , Wibbelt Gudrun , Deng Shuwen , Kandemir Hazal , Gräser Yvonne , Feng Peiying , Kang Yingqian , de Hoog G. Sybren 
Published: November 2023

AbstractDermatophytes and other members of Onygenales are unique in their ability to degrade keratin, affecting hair and nails, and in the case of human hosts, causing skin infections. Subtillisins are essential proteases in keratin assimilation, and subtilisin-like protease 1 (SUB1) and SUB3–7 are specific for dermatophytes. eIF2α kinases are serine-threonine kinases that perform essential functions in response to infection, proteotoxicity, and nutrient scavenging. The relatively conserved nature of EIF2AK4 among fungi makes them potential evolutionary markers, which may contribute to a deeper understanding of dermatophyte taxonomy and evolution. This study aimed to assess the phylogeny of dermatophytes by examining the EIF2AK4 and SUB1 genes compared to the ITS gene marker. The phylogenetic trees generated from the EIF2AK4 and SUB1 genes exhibited a similar topology, which differed from that observed in the ITS tree. Our preliminary findings with a limited dataset suggest that the EIF2AK4 and SUB1 genes provide a reasonably correct reflection of the evolution of Arthrodermataceae. In addition, the study analyzed in vitro keratinolytic responses of 19 dermatophyte species using hairs of a broad range of mammals, including ancestral as well as derived species, as substrates. Trichophyton mentagrophytes and Nannizzia gypsea were the most active in degrading hair, while Trichophyton verrucosum, Trichophyton tonsurans and Epidermophyton floccosum showed low response. Hairs of Hyracoidea and Rodentia were most affected of all mammal hairs, while in contrast, bat hairs were difficult to degrade by nearly all tested dermatophyte species. Zoophilic species showed more activity than anthropophilic dermatophytes, but hair degradation profiles were not diagnostic for particular dermatophyte species.
Effect of Europium Complexation on N,N,N′,N′-Tetraoctyldiglycolamide Degradation Against Gamma Radiation
Authors: Sánchez-García Iván , Galán Hitos 
Published: November 2023

AbstractDiglycolamide extractants (DGAs) are playing an important role for many of aqueous separation processes under development for the advanced nuclear fuel cycle. This family of ligands exhibits excellent extracting and resistant properties, with TODGA (N,N,N′,N′-tetraoctyldiglycolamide) being a particularly successful extractant studied intensively in recent decades. Nowadays, the main issues for TODGA-based solvents are related to the understanding and simulation of the radiolytic degradation under realistic conditions, which is limiting aspect for the development of an advanced aqueous nuclear separation process. In that sense, in this work, TODGA ligand stability, solvent composition and performance were evaluated considering the effect of metal complexation under gamma radiation. For that, the irradiation of a TODGA solvent in the presence of Eu metal was carried out, varying the ligand/metal ratio. The goal was to not only study TODGA degradation using HPLC–MS technique but also to identify and quantify its degradation compound under these experimental conditions. The results revealed a protection of TODGA molecules due to metal ion complexation, with no observed changes in the degradation pathway, as confirmed by the quantification of formed degradation compounds.
Validation of risk scores for prediction of severe pneumonia in kidney transplant recipients hospitalized with community-acquired pneumonia
Authors: Müller-Plathe Moritz , Osmanodja Bilgin , Barthel Georg , Budde Klemens , Eckardt Kai-Uwe , Kolditz Martin , Witzenrath Martin 
Published: November 2023

Abstract
Purpose
Risk scores for community-acquired pneumonia (CAP) are widely used for standardized assessment in immunocompetent patients and to identify patients at risk for severe pneumonia and death. In immunocompromised patients, the prognostic value of pneumonia-specific risk scores seems to be reduced, but evidence is limited. The value of different pneumonia risk scores in kidney transplant recipients (KTR) is not known.

Methods
Therefore, we retrospectively analyzed 310 first CAP episodes after kidney transplantation in 310 KTR. We assessed clinical outcomes and validated eight different risk scores (CRB-65, CURB-65, DS-CRB-65, qSOFA, SOFA, PSI, IDSA/ATS minor criteria, NEWS-2) for the prognosis of severe pneumonia and in-hospital mortality. Risk scores were assessed up to 48 h after admission, but always before an endpoint occurred. Multiple imputation was performed to handle missing values.

Results
In total, 16 out of 310 patients (5.2%) died, and 48 (15.5%) developed severe pneumonia. Based on ROC analysis, sequential organ failure assessment (SOFA) and national early warning score 2 (NEWS-2) performed best, predicting severe pneumonia with AUC of 0.823 (0.747–0.880) and 0.784 (0.691–0.855), respectively.

Conclusion
SOFA and NEWS-2 are best suited to identify KTR at risk for the development of severe CAP. In contrast to immunocompetent patients, CRB-65 should not be used to guide outpatient treatment in KTR, since there is a 7% risk for the development of severe pneumonia even in patients with a score of zero.
Coaxial Wet Spinning of Boron Nitride Nanosheet-Based Composite Fibers with Enhanced Thermal Conductivity and Mechanical Strength
Authors: Lu Wenjiang , Deng Qixuan , Liu Minsu , Ding Baofu , Xiong Zhiyuan , Qiu Ling 
Published: November 2023

AbstractHexagonal boron nitride nanosheets (BNNSs) exhibit remarkable thermal and dielectric properties. However, their self-assembly and alignment in macroscopic forms remain challenging due to the chemical inertness of boron nitride, thereby limiting their performance in applications such as thermal management. In this study, we present a coaxial wet spinning approach for the fabrication of BNNSs/polymer composite fibers with high nanosheet orientation. The composite fibers were prepared using a superacid-based solvent system and showed a layered structure comprising an aramid core and an aramid/BNNSs sheath. Notably, the coaxial fibers exhibited significantly higher BNNSs alignment compared to uniaxial aramid/BNNSs fibers, primarily due to the additional compressive forces exerted at the core-sheath interface during the hot drawing process. With a BNNSs loading of 60 wt%, the resulting coaxial fibers showed exceptional properties, including an ultrahigh Herman orientation parameter of 0.81, thermal conductivity of 17.2 W m−1 K−1, and tensile strength of 192.5 MPa. These results surpassed those of uniaxial fibers and previously reported BNNSs composite fibers, making them highly suitable for applications such as wearable thermal management textiles. Our findings present a promising strategy for fabricating high-performance composite fibers based on BNNSs.
On the Polishness of the inverse semigroup $$\Gamma (X)$$ on a compact metric space x
Authors: Pérez Jerson , Uzcátegui Carlos 
Published: November 2023

AbstractLet $$\Gamma (X)$$

Γ
(
X
)

be the inverse semigroup of partial homeomorphisms between open subsets of a compact metric space X. There is a topology, denoted $$\tau _\textrm{hco}$$

τ
hco

, that makes $$\Gamma (X)$$

Γ
(
X
)

a topological inverse semigroup. We address the question of whether $$\tau _\textrm{hco}$$

τ
hco

is Polish. For a 0-dimensional compact metric space X, we prove that $$(\Gamma (X), \tau _\textrm{hco})$$

(
Γ

(
X
)

,

τ
hco

)

is Polish by showing that it is topologically isomorphic to a closed subsemigroup of the Polish symmetric inverse semigroup $$I({\mathbb N})$$

I
(
N
)

. We present examples, similar to the classical Munn semigroups, of Polish inverse semigroups consisting of partial isomorphism on lattices of open sets.
The PhotoVoice method for collaborating with people with lived experience of mental health conditions to strengthen mental health services
Authors: Rai Sauharda , Gurung Dristy , Kohrt Brandon 
Published: November 2023

Abstract
There is a growing recognition of the benefits of collaborating with people with lived experience (PWLE) of mental health conditions in mental health research and implementation of services. Such collaboration has been effective in reducing mental health stigma and improving the quality of mental health care. Here, we describe using PhotoVoice as a collaborative method in which PWLE use visual narratives to tell their recovery stories for promoting social contact, debunking myths and reducing stigma. First, we outline the framework of this collaboration, drawing on theories from medical anthropology and social psychology and focusing on reducing mental health stigma among primary healthcare workers. Then, we describe the process using our learnings from implementing PhotoVoice in Nepal, Ethiopia and Uganda. We highlight collaboration in five key steps with associated considerations: (1) identifying PWLE for collaboration; (2) training in photography, distress management and presentation skills; (3) developing a photographic recovery story; (4) training healthcare workers using the PhotoVoice narratives; and (5) ongoing support of mental health systems strengthening in collaboration with PWLE. Then, we critically reflect on the process, highlighting the benefits and challenges to the participants and researchers, thereby paving the way for expanding collaborations with PWLE using the PhotoVoice method.
Protecting People from Their Own Religious Communities: Jane Doe in Church and State
Authors: Volokh Eugene 
Published: November 2023

AbstractSuppose that people seek confidentiality in what would otherwise be a public process—such as litigating or applying for a firearms license—because they are afraid that publicly identifying them will stigmatize them in their (or their families’) religious communities. Should the law allow them to proceed anonymously to better protect their interests and to avoid discouraging their lawsuits or applications? Or would that unduly stigmatize the religious community by branding it as improperly censorious or judgmental—or interfere with religious community members’ ability to evaluate for themselves how their coreligionists are using the courts and other government processes?
The effect of curcumin supplementation on circulating adiponectin and leptin concentration in adults: a GRADE-assessed systematic review and meta-analysis of randomised controlled trials
Authors: Musazadeh Vali , Abbasi Shaghayegh , Kavyani Zeynab , Moridpour Amir Hossein , Safarzadeh Diba , Moradi Zahra , Bahadori Fatemeh , Faghfouri Amir Hossein 
Published: November 2023

AbstractCurcumin is a phytocompound found in the root of turmeric, a common herbal ingredient in many Asian cuisines. The compound contains anti-inflammatory activity, which is mediated through an upregulation of adiponectin and reduction of leptin. Results of randomised controlled trials (RCT) have shown that the effects of curcumin on adipokines are conflicting. Therefore, the current systematic review and meta-analysis of RCT were conducted with the aim of elucidating the role of curcumin supplementation on serum adiponectin and leptin. The search included PubMed, Embase, Cochrane Library, Scopus, Web of Science and Google Scholar from inception to August 2023. For net changes in adipokines, standardised mean differences (SMD) were calculated using random effects models. Thirteen RCT with fourteen treatment arms were eligible for inclusion in this meta-analysis. Curcumin supplementation was effective in increasing serum adiponectin (SMD = 0·86, 95 % CI (0·33, 1·39), P < 0·001; I2 = 93·1 %, P < 0·001) and reducing serum leptin (SMD = −1·42, 95 % CI (−2·29, −0·54), P < 0·001; I2 = 94·7 %, P < 0·001). In conclusion, curcumin supplementation significantly increased circulating adiponectin and decreased leptin levels in adults.