bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘Life Minus Illness = Recovery’: A Phenomenological Study About Experiences and Meanings of Recovery Among Individuals with Serious Mental Illness from Southern India
Authors: Hegde Srishti , Quadros Shalini , Appaji Rashmi , Acharya Vinita A. 
Published: July 2024

Abstract
Traditional medical models have given way to recovery-oriented approaches over the years in the management of individuals with serious mental illnesses. However, very little is known about such recovery-based models in the Indian context. This qualitative study used a phenomenological approach to explore the experiences and meanings of recovery among individuals with serious mental illness in southern India. Purposive sampling with maximum variation was used to recruit participants. In-depth interviews were conducted with ten participants, using a semi-structured interview guide. Thematic analysis resulted in three themes: “The illness journey,” “Life minus illness = Recovery,” and “It takes a village to recover,”. Illness and recovery seemed to be two sides of the same coin with the context playing an influential role in the perceptions of recovery. The term “recovery” seemed to be a misnomer giving the impression that one is expected to return to an illness free state.
Wages and Employment in the Netherlands, 2017–2023
Authors: Klinker Iris , ter Weel Bas 
Published: July 2024

AbstractThis research documents changes in employment and wages in the Netherlands for different types of workers. We compare 2017 to 2023 using regression-adjusted wages to make sure changes in composition of the workforce do not influence our estimates. The research period has been characterised by high labour demand, negative supply shocks, high levels of inflation and economic lockdowns, all of which have contributed to substantial labour-market dynamics. Our findings suggest that employment has been growing by 2 percent in the period 2017–2023, of which 1.8 percent has been due to additional workers finding employment. Women have experienced the largest increase in employment, while the employment of men on temporary contracts has slightly fallen. Wages have been rising for workers at the bottom of the wage distribution. From the median of the wage distribution onwards real gross hourly wages have been fallen. The most likely explanation for rising wages at the bottom is the stepwise increase in minimum wages enforced by new labour-market legislation.
A global analysis of the Rubus virome using public transcriptome data
Authors: Higuita Mónica , Pérez Alejandra , Gallo Yuliana , Gutiérrez Pablo A. 
Published: July 2024

AbstractViruses are the causal agent of some of the most limiting diseases in Rubus crops. In this regard, a detailed knowledge of the Rubus virome is essential for successfully implementing mitigation strategies and assessing the risk of the emergence of novel viral diseases. Fortunately, the widespread use of RNA sequencing to characterize diverse aspects of the biology of Rubus species can also be a valuable source of data on viruses associated with these hosts. Here, we present a meta-analysis of the Rubus virome based on the re-examination of public RNAseq data from nine Rubus species and 23 hybrid cultivars worldwide. As a result, we identified 23 viruses and one viroid associated with the genus Rubus. Detected viruses are part of eleven families and 26 genera. We also provide evidence of a second species in the genus Brambyvirus, and a novel member of the family Virgaviridae. Our data also revealed raspberry bushy dwarf virus (RBDV) to be the most prevalent and generalist Rubus virus. With respect to the number of species, the genus Ilarvirus and the family Closteroviridae were the most diverse taxonomic ranks affecting Rubus. Network analysis revealed distinct Rubus viromes in different countries and analysis of coinfections revealed three main viral communities infecting these plant species across the world. We also provide information on virus variants from new locations worldwide and data on potential emergent viruses from other plant hosts.
The Early Days of Neobanks in Europe: Identification, Performance, and Riskiness
Authors: Citterio Alberto , Marques Bernardo P. , Tanda Alessandra 
Published: July 2024

AbstractThis paper identifies banks born with a digital business model (‘neobanks’) and examines their performance and riskiness vis-à-vis traditional peers. We propose a novel approach to identify neobanks, based on non-financial hand-collected data, and identify 65 neobanks operating in Europe. We show that neobanks perform worse than their traditional peers, while recording a similar level of risk. Namely, neobanks charge higher interest income, record higher impairment charges, and face higher non-staff expenses. Further analysis suggests the presence of economies of scale and scope in digital banking. Our findings are robust to endogeneity concerns and changes to our baseline specification.
Chemical composition and studying the possible neuroprotective effect of iridoids-rich fraction from Pentas lanceolata leaves using rotenone model of Parkinson’s disease in mice
Authors: Afifi Ahmed H. , Sweelam Heba-Tollah M. , El-Shamarka Marwa E. , Orban Hisham A. , Elesawy Wessam H. , Nagata Maki , Shimizu Kuniyoshi , Abd-Alla Howaida I. 
Published: July 2024

AbstractParkinsonism is an age-related neurodegenerative illness that affects motor coordination leading to loss of dopaminergic neurons. Many medications are used for the treatment of Parkinson’s disease but are only symptomatic and have a limited effect on the progression of this ailment. Therefore, bioactive compounds which derived from plants have been examined for their ability to improve the neuronal damage and cell death happened in parkinsonian patients. In this study the iridoids-rich fraction isolated from Pentas lanceolata (PIRF) leaves was investigated for its phytoconstituents. Seven iridoids (1–7) and one flavonol diglycoside (8) were isolated, and their chemical structures were achieved by 1H and 13C nuclear magnetic resonance and ESI–MS spectral data. Compound 1 (6β,7β-epoxy-8-epi-splendoside) and 5 (gaertneroside) were isolated for the first time from Pentas genus as well as compound 8 (kaempferol-3-O-robinobioside). The current study aims to investigate the possible anti-parkinsonian effect of PIRF using a rotenone model of Parkinsonism in mice. Behavioural tests (wirehanging, stair and wooden-walking tests) were done to examine the motor coordination in mice after treatment. Biochemical and histopathological examinations for brain striatum in different groups were also evaluated. Results revealed that rotenone-treated mice had poor motor functions described by depletion of dopamine and Ach levels, a significant increase in proinflammatory cytokines, IL-1B, TNF-α and Mcp-1 and oxidative biomarkers with subsequent reduction in antioxidant mediators. Disorganization of striatum, degenerated neurocytes, slight vacuolation, shrunken neurons with pyknotic nuclei and apoptotic cells are displayed by histopathological examinations. Treatment with PIRF ameliorates the neurodegeneration-induced by rotenone in the brain of mice. The anti-parkinsonian effect of PIRF could be attributed to their bioactive constituents of iridoids.
Indicated Prevention for Children Screened in Routine Health Care: Effectiveness of a Social Skills Program on Social Anxiety and Depressive Symptoms
Authors: Zink Julia , Weniger Max , Porst Patricia Theresa , Siegmund Cornelia Beate , McDonald Maria , Rückert Frank , Roessner Veit , Knappe Susanne , Beesdo-Baum Katja 
Published: July 2024

AbstractSocial anxiety is common in childhood and potentially transitions into clinical disorders including depression. The present study aimed to examine the effectiveness of an indicated prevention program for children screened in routine care. Data came from the PROMPt project, a prospective implementation study (10/2018-09/2022) that explored a novel care chain, starting with screening with the Strengths and Difficulties Questionnaire (SDQ) as part of regular health check-ups, followed by indicated assignment and participation in a prevention program. Questionnaires assessing anxiety and depression symptoms were administered shortly after screening or before program participation (T0), six months after screening or after program participation (T1) and at a follow-up, six months after T1 (T2). Children who participated in a group cognitive-behavioral social skills program (TT; n = 145) were compared using mixed model analyses with non-participating children who were either screened as normal (NOR; n = 894) or refused program participation despite indication (NoTT; n = 67). TT scores improved from T0 to T1 compared to NOR and NoTT (anxiety β = -0.71 and β = -0.71, social anxiety β = -0.46 and β = -0.52, depression β = -0.52 and β = -0.73). Improvement was maintained at T2. Moderation analyses showed a trend toward greater benefit for participants with higher baseline scores. Indicated prevention can improve anxiety and depression symptoms in children identified by screening in routine care. Systematic screening and targeted prevention may positively affect mental health of children on a population level.
Local learning landscapes: conceptualising place-based professional learning by teachers and schools in decentralised education systems
Authors: Greany Toby , Cowhitt Tom , Noyes Andy , Gripton Cath , Hudson Georgina 
Published: July 2024

Abstract
This article sets out an original conceptual framework for place-based professional learning by teachers and schools in decentralised education systems. High quality Continuing Professional Development and Learning by teachers is associated with improvements in children’s outcomes. Most research in this area focuses on evaluating formal professional development programmes provided by external, non-school organisations. However, in practice, much professional learning is informal and takes place ‘on the job’. Meanwhile, in many systems globally, school leaders have been granted increased autonomy, for example taking on responsibility for the recruitment and professional development of staff. In these contexts, traditional place-based providers of professional development, such as Local Authorities and school districts, have been rolled back, while school leaders have been encouraged to draw on a wider marketplace of provision. These developments might create space for agency and innovation, but also present risks in terms of coherence, quality, and equity. For these reasons, we argue that there is a need to conceptualise the ways in which formal and informal learning occurs across complex local learning landscapes. We describe the iterative process through which the conceptual framework was developed before setting out the framework itself and the bodies of research and theory which underpin it. We draw on our empirical research using the framework in England to illustrate its three main contributions: as a heuristic device, an analytical tool, and an example of methodological innovation. We conclude by highlighting key implications for educational stakeholders, arguing that strengthening coherence, quality and equity across local learning landscapes in decentralised school systems requires attention to system governance and design as well as leadership and locality dynamics.
NMR methods for studying inclusion complexes focused on chiral hosts
Authors: Jopa Sylwia , Wójcik Jacek , Ejchart Andrzej , Nowakowski Michał 
Published: July 2024

AbstractHosts, a key component of inclusion complexes, are cyclic oligomeric compounds containing a cavity in which another component of the complex is bound by non-covalent forces. Chiral hosts are particularly important and interesting because they allow the study of specific intermolecular interactions and molecular recognition. The most important classes of chiral hosts and their physicochemical properties are briefly reviewed. An important part of this Review is the description of selected concepts necessary to understand the properties and behavior of inclusion complexes studied by the most suitable analytical method for studying inclusion complexes—nuclear magnetic resonance.
A Tris(terpyridine) Ligand-based Metal Coordination Nanosheet as Electrode Material with Good Supercapacitor Performance
Authors: Liu Qian , Xu Zhiwei , Guo Zengqi , Guo Su , Huang Mengru , Wong Wai-Yeung 
Published: July 2024

AbstractIn this work, through a facile liquid–liquid (L–L) interfacial-assisted synthesis at room temperature, a new two-dimensional (2D) metal coordination nanosheet Co-TPY-LB has been synthesized by the coordination between Co2+ ion and 1,3,5-tris(4′-tripyridinylphenyl)benzene (Tris-tpy). The flat and smooth sheet structure with a thickness of 83.3 nm and a hexagonal structure with a lattice spacing of about 0.206 nm for the as-fabricated nanosheet Co-TPY-LB has been identified by AFM and HRTEM respectively, providing a large number of redox sites and ion diffusion channels. The fabricated Co-TPY-LB have been used as electrodes and exhibit the highest capacity of 2741.5 F g−1 at the current density of 1 A g−1, an excellent cycling stability with 97.6% capacity retention after 1000 cycles at the current density of 10 A g−1. Meanwhile, the assembled asymmetric supercapacitor with Co-TPY-LB as the positive electrode shows a high energy density 73.6 Wh kg−1 at a power density of 4800 W kg−1 as well as an excellent cycle stability of 92.9% capacity retention after 5000 cycles. Our work provides a controllable synthesis for the construction of 2D metal coordination nanosheet to overcome some defects of 2D nanosheet by traditional synthesis, leading such bottom-up nanosheet to a promising application in energy storage.
Graphical Abstract
Gradient-Robust Hybrid DG Discretizations for the Compressible Stokes Equations
Authors: Lederer P. L. , Merdon C. 
Published: July 2024

AbstractThis paper studies two hybrid discontinuous Galerkin (HDG) discretizations for the velocity-density formulation of the compressible Stokes equations with respect to several desired structural properties, namely provable convergence, the preservation of non-negativity and mass constraints for the density, and gradient-robustness. The later property dramatically enhances the accuracy in well-balanced situations, such as the hydrostatic balance where the pressure gradient balances the gravity force. One of the studied schemes employs an $$H(\textrm{div})$$

H
(
div
)

-conforming velocity ansatz space which ensures all mentioned properties, while a fully discontinuous method is shown to satisfy all properties but the gradient-robustness. Also higher-order schemes for both variants are presented and compared in three numerical benchmark problems. The final example shows the importance also for non-hydrostatic well-balanced states for the compressible Navier–Stokes equations.
Resolution Enhancement by Variable Zoom Trajectory in X-Ray Computed Tomography
Authors: Blažek Pavel , Suppes Alexander , Wolfschläger Dominik , Zikmund Tomáš , Kaiser Jozef , Schmitt Robert H. 
Published: July 2024

AbstractFlat objects like electronic boards are challenging samples for high-resolution X-ray computed tomography scanning because their largest dimension significantly limits the magnification using circular trajectory scans. One way to improve spatial resolution for such samples is to utilize variable zoom trajectory. During variable zoom trajectory scanning, the source-to-object distance changes during the 360° rotation to maximize the magnification in the projections. Here, we propose an automatic variable zoom trajectory generation algorithm for arbitrary object and region of interest (ROI). We analyze how such a trajectory can enhance resolution in different cases and how isotropic is the resolution in the reconstructed volume. We demonstrate that the resolution can be improved without destroying the sample. However, the improvement is manifested mainly in directions in which we achieved the highest magnification in the projection.
Observation of the Granular Josephson Mechanism and the Vortex-Glass Transition in the Polycrystalline GdBa2Cu3O7- δ Superconductor
Authors: Vargas-Pineda E. M. , Rivera-Contreras L. J. , Pineda-Peña G. , Téllez D. A. Landínez , Roa-Rojas J. 
Published: July 2024

AbstractThe resistive transition between the normal and superconducting states in high critical temperature superconducting materials is characterized by the occurrence of two well-defined stages: a transition in the higher temperature thermal region called pairing transition and another known as coherence transition. In the presence of low magnetic fields, in the first transition, it is possible to identify a genuinely critical fluctuation regime, with Gaussian regimes. The Aslamazov-Larkin model in the 3D regime allows to analyze the amplitude of the order parameter, leading to the determination of parameters such as coherence length and critical field. In the coherence transition, the phase of the order parameter is the relevant quantity that varies between the grains of the system, leading to Josephson-type effects in the intergranular barriers due to the polycrystalline feature of this family of materials. The coherence transition for the sample GdBa2Cu3O7-δ under the application of seven different electric transport currents was studied in this work. The sample was produced by the solid-state reaction and the resistive behavior was determined to perform the paraconductivity analysis and characterizes granularity effects on the superconducting order parameter. A genuinely critical region characterized by dynamic critical exponent z = 4.5 was identified, similar to the value reported for the transition vortex glass – fluid. This paper proposes to identify three-dimensional Gaussian fluctuations in the paracoherent to get a coherence length associated with Josephson effects in the granular barrier and to find a factor related with the Josephson current in function of the seven applied currents.
Investigation of bio-corrosion behavior, structural and thermal properties of Ni20Ti50Sn30 high-temperature shape memory alloy
Authors: Balci Esra 
Published: July 2024

AbstractIn this study, Ni20Ti50Sn30 (atomic %) sample was prepared using the arc melting method. Some thermodynamic parameters (phase transformation temperatures, PTT; enthalpy, ΔH; and phase transformation hysteresis, H) obtained from the phase transformations of the alloy were determined using differential scanning calorimetry (DSC). The sample exhibited high-temperature shape memory alloy (HTSMA) properties. X-ray (XRD) analysis was performed to determine the crystal structure properties at the alloy. The presence of B2, B19′, Ti2Ni, β-Ti, Ni3Sn4, TiNiSn and Ti3Sn phases was identified through X-ray analysis of the alloy. Scanning electron microscopy (SEM) was used to examine the pre- and post-corrosion surface morphologies of the sample, with EDX analysis being performed to reveal chemical structure determinations (matrix phases, precipitates and weathering zones). The presence of dendritic arms was observed, while martensite plates were absent in all SEM images. Particularly in the SEM image taken after corrosion, it was noted that the TiO2 layer placed on the surface of the matrix rich in Ti elements altered the surface morphology of the alloy. The presence of Ti and O elements in the post-corrosion EDX analysis confirmed the existence of this layer. Biocompatibility studies of the alloy were conducted using potentiodynamic corrosion tests and electrochemical impedance spectroscopy (EIS) methods. It was determined that the NiTiSn sample was in the excellent stability class according to corrosion standards.
Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems
Authors: Santamato Giancarlo , Garavagno Andrea Mattia , Solazzi Massimiliano , Frisoli Antonio 
Published: July 2024

AbstractDeep transfer learning (DTL) allows for the efficient building of intelligent fault diagnosis systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of labelled data. Obtaining such an amount of data can be challenging when dealing with machines or structures faults. This document proposes a novel approach to the design of vibration-based IFDS using DTL in condition of strong data scarcity. A periodic multi-excitation level procedure leveraging intrinsic non-linearities of real-world systems is used to produce images that can be conveniently analysed by pre-trained Convolutional Neural Networks to diagnose faults. A new data visualization method and its augmentation technique are proposed in this paper to tackle the typical lack of data encountered during the design of IFDS. Experimental validation on a railway pantograph structure provides effective support for the proposed method.
Contrasting maize responses to soil phosphorus and potassium availability driven by biochar under reduced irrigation
Authors: Wan Heng , Hou Jingxiang , Wei Zhenhua , Liu Fulai 
Published: July 2024

Abstract
Background and aims
Biochar is increasingly recognized for its potential to enhance soil water retention and improve soil fertility in agricultural systems; however, few studies have evaluated the effects of biochar on nutrients from an integrated perspective. This study aims to investigate how biochar affects soil phosphorus (P) and potassium (K) availability and their effects on plant growth, especially under reduced irrigation conditions.

Methods
Maize plants were grown in split-root pots with full (FI), deficit (DI) and alternate partial root-zone drying (PRD) irrigation under 2% (w/w) softwood (SWB) and wheat-straw biochar (WSB) for three successive growth cycles.

Results
WSB amendment decreased soil P availability and resulted in a decrease in plant P content. However, WSB amendment significantly enhanced soil K availability inducing higher plant K content under reduced irrigation, thereby enhancing the biomass and harvest index of maize plants irrespective of growth cycles, especially with PRD. WSB amendment significantly enhanced P use efficiency due to lower plant P content and higher biomass in the initial growth cycles. Adding SWB decreased plant growth under reduced irrigation by inhibiting plant K content in the second growth cycle, which was mitigated by PRD by enhancing root growth.

Conclusion
Collectively, despite negative effects on soil P availability and plant P content, WSB combined with PRD could be a promising strategy in sustainable maize production under drought stress.
Pandemic data quality modelling: a Bayesian approach in the Italian case
Authors: Ferrari Luisa , Manzi Giancarlo , Micheletti Alessandra , Nicolussi Federica , Salini Silvia 
Published: July 2024

AbstractWhen pandemics like COVID-19 spread around the world, the rapidly evolving situation compels officials and executives to take prompt decisions and adapt policies depending on the current state of the disease. In this context, it is crucial for policymakers to always have a firm grasp on what is the current state of the pandemic, and envision how the number of infections and possible deaths is going to evolve shortly. However, as in many other situations involving compulsory registration of sensitive data from multiple collectors, cases might be reported with errors, often with delays deferring an up-to-date view of the state of things. Errors in collecting new cases affect the overall mortality, resulting in excess deaths reported by official statistics only months later. In this paper, we provide tools for evaluating the quality of pandemic mortality data. We accomplish this through a Bayesian approach accounting for the excess mortality pandemics might bring with respect to the normal level of mortality in the population.