bluuebunny/crossref_metadata_2025_split huggingface dataset:
Striatal and peripheral dopaminergic alterations related to cognitive impairment in patients with schizophrenia
Authors: Yang Kai-Chun , Yang Bang-Hung , Lan Chen-Chia , Liu Mu-N , Chou Yuan-Hwa 
Published: December 2024

AbstractBackgroundCognitive impairment, a major determinant of poor functioning in schizophrenia, had limited responses to existing antipsychotic drugs. The limited efficacy could be due to regional differences in the dysregulation of the dopamine system. This study investigated striatal and peripheral dopaminergic makers in schizophrenia and their relationship with cognitive impairment.MethodsThirty-three patients with schizophrenia and 36 age- and sex-matched healthy controls (HC) participated. We evaluated their cognitive performance, examined the availability of striatal dopamine transporter (DAT) using single-photon emission computed tomography with 99mTc-TRODAT, and measured plasma levels of dopaminergic precursors (phenylalanine and tyrosine) and three branched-chain amino acids (BCAA) that compete with precursors for brain uptake via ultra-performance liquid chromatography.ResultsSchizophrenia patients exhibited lower cognitive performance, decreased striatal DAT availability, and reduced levels of phenylalanine, tyrosine, leucine, and isoleucine, and the ratio of phenylalanine plus tyrosine to BCAA. Within the patient group, lower DAT availability in the left caudate nucleus (CN) or putamen was positively associated with attention deficits. Meanwhile, lower tyrosine levels and the ratio of phenylalanine plus tyrosine to BCAA were positively related to executive dysfunction. Among all participants, DAT availability in the right CN or putamen was positively related to memory function, and plasma phenylalanine level was positively associated with executive function.ConclusionsThis study supports the role of dopamine system abnormalities in cognitive impairment in schizophrenia. The distinct associations between different dopaminergic alterations and specific cognitive domain impairments suggest the potential need for multifaceted treatment approaches to target these impairments.
Organisational outputs of administrative reforms: disability in Danish job centres
Authors: Kjeldsen Lena , Amby Finn , Agergaard Torben Esbo 
Published: November 2024

Abstract
Employment rates of people with and without disabilities differ substantially in most countries, and policymakers have tried, with mixed effects, to reduce this gap through different policy measures. However, studies show that governance and managerial reforms also affect implementation of policy. In this study, we examine how the Danish large-scale administrative reform of 2007 has affected the role and structure of the approach of the public employment system (PES) to unemployed people with disabilities. Using Pollitt and Bouckeart’s framework on reform effects, we report on a document analysis of policy papers and a 2019 survey of caseworkers and disability keypersons (N = 453). The analysis identifies few and vague objectives on a process and systems level, with the overall goal being more coherent service delivery. Specifically, a new division of tasks between the state and municipal level was established, including the creation of a disability keyperson at the municipal level to inform and guide job centre colleagues in assisting unemployed with disabilities. In practice, most of the keypersons were doing administrative casework and placed in sections focussed on unemployed with a reduced work ability. Hence, we identify a mismatch between objectives and implementation, questioning whether service delivery has become more coherent.
How and why does relational welfare work to support young people not in employment, education or training (NEET)? A realist evaluation
Authors: Jonsson Frida , Norvell Gustavsson Isa 
Published: November 2024

Abstract
The aim of this study was to understand how and why relational welfare works to support young people who are not in employment, education or training (NEET). It builds on research discussing the limitations of work-first and human capital strategies in social policy while responding to calls for theory-driven insights into initiatives that move beyond employability and rapid employment. The material for this realist evaluation includes programme documents, fieldnotes and 75 interviews with practitioners and participants in community-based multicomponent initiatives delivered by Swedish municipalities. These data were scrutinised against programme theories while integrating literature on relational welfare as underpinned by co-creation and capability approaches. The results illustrate how flexible, challenging and coordinated programming strengthen beings and doings of young people in NEET situations while improving their wellbeing by overcoming isolation and forming a future orientation. The study provides guidance for supporting NEET-situated young people through a relational approach to welfare. It also offers a model against which local initiatives provided to a youth group high on the policy agenda can be mapped.
The transition of assessing health technologies to social interventions in Sweden
Authors: Söderholm Werkö Sophie , Mattsson Titti , Tranæus Sofia , Östlund Pernilla , Sundell Knut 
Published: November 2024

Abstract
Since the 1970s the Swedish government has been promoting social work based on research into methods which work in practice for practitioners and patients. In 2015, the Swedish Agency for Health Technology Assessment (SBU), a government agency instigated in 1987, was commissioned to expand its remit, to review empirical research on social work interventions and to disseminate the results to stakeholders. SBU was then renamed The Swedish Agency for Health Technology Assessment and Assessment of Social Services (SBU). This article describes the fusion of health technology assessment (HTA) and Social Intervention Assessment (SIA), including advantages and challenges.
How to Make Psychedelic-Assisted Therapy Safer
Authors: Villiger Daniel 
Published: December 2024

Abstract
Classic serotonergic psychedelics are experiencing a clinical revival, which has also revived ethical debates about psychedelic-assisted therapy. A particular issue here is how to prepare and protect patients from the vulnerability that the psychedelic state creates. This article first examines how this vulnerability manifests itself, revealing that it results from an impairment of autonomy: psychedelics diminish decision-making capacity, reduce controllability, and limit resistance to external influences. It then analyzes the strengths and weaknesses of five safety measures proposed in the literature, what aspect of the patient’s vulnerability they seek to reduce, and how they can be optimized. The analysis shows that while preparatory sessions, advance directives, and specific training and oversight are useful, starting with a lower dosage and no therapy is less so. Finally, the article presents a safety measure that has been overlooked in the literature but could be highly effective and feasible: bringing a close person to the psychedelic session.
Delayed primary arterial switch for a rare and unusual variant of transposition of great arteries with posterior aorta
Authors: Bhosale Pankaj , Saraf Rahul , Naik Abhijeet 
Published: December 2024

AbstractThough initially described in 1971 by Van Praagh, transposition of great arteries with posterior aorta is rarely reported in last two decades. Since the arrangement of great arteries appears like normally related great arteries, a careful echocardiographic evaluation is necessary in patients with clinical features of transposition of great arteries. In majority of cases with this anatomy, arterial switch operation can be performed without the need of Le Compte manoeuvre.
Ion Parameters Dataset From Juno/JADE Observations in Jupiter's Magnetosphere Between 10 and 50 RJ
Authors: Wang Jian‐zhao , Bagenal Fran , Wilson Robert J. , Valek Philip W. , Ebert Robert W. , Allegrini Frederic 
Published: November 2024

AbstractAfter its arrival at Jupiter in July 2016, Juno conducted a global survey of Jupiter's magnetosphere (especially the equatorial plasma disk region) with its highly eccentric polar orbit. Since then, the JADE instrument has accumulated a large amount of plasma measurements. Using a developed forward modeling method and the Alpine supercomputer cluster at CU Boulder, we fit all ion measurements between 10 and 50 from PJ5 to PJ56, obtaining a dataset with 70,487 good fits that consists of the following set of plasma parameters: abundances of different heavy ions, density, temperature, and 3‐D bulk flow velocity of heavy ions. An overview of the dataset and an example use on flux tube interchange are presented to illustrate its effectiveness and usefulness. In the investigated interchange event that occurred at 14 , the plasma disk is variable and heated, with alternating hotter inflows and colder outflows, accompanied by small perturbations in the magnetic fields. This dataset has the potential for many applications.
A Novel Heat Pulse Method in Determining “Effective” Thermal Properties in Frozen Soil
Authors: Wu Xiao‐long , Zhao Ying 
Published: December 2024

AbstractAccurate and fast measurements of thermal properties are frequently required for characterizing the heat‐water dynamics in frozen soil. Measuring the thermal properties of frozen soil without inducing ice thaw has proven challenging with conventional heat pulse (HP) methods. In this study, based on an Infinite Line Source (ILS) semi‐analytical model that applies a constant temperature lower than the freezing point at the heat source to prevent the initiation of ice thaw in the frozen soil, we propose a novel HP‐based approach to measure thermal properties, applicable at temperatures below or above 0°C. Laboratory experiments and numerical modeling were utilized to validate the applicability of the approach and optimization strategies of the measurement. We found that the proposed HP‐based approach effectively maintained the maximum spatial temperature below the freezing point and therefore estimated the bulk thermal properties of quartz sand and ice contents. An optimized measurement strategy was proposed to monitor the temperature variations 2–4 cm away from the center of the heat probe after 60 s. This progress can largely facilitate the determination of the thermal properties of multi‐phase and ‐component frozen soil such as thermal conductivity, heat flux, and ice content in cold areas across soil science, hydrology, engineering, and climate science.
Effects of psychoplastogens on blood levels of brain-derived neurotrophic factor (BDNF) in humans: a systematic review and meta-analysis
Authors: Calder Abigail E. , Hase Adrian , Hasler Gregor 
Published: November 2024

Abstract

Background
Peripheral levels of brain-derived neurotrophic factor (BDNF) are often used as a biomarker for the rapid plasticity-promoting effects of ketamine, psychedelics, and other psychoplastogens in humans. However, studies analyzing peripheral BDNF after psychoplastogen exposure show mixed results. In this meta-analysis, we aimed to test whether the rapid upregulation of neuroplasticity seen in preclinical studies is detectable using peripheral BDNF in humans.

Methods
This analysis was pre-registered (PROSPERO ID: CRD42022333096) and funded by the University of Fribourg. We systematically searched PubMed, Web of Science, and PsycINFO to meta-analyze the effects of all available psychoplastogens on peripheral BDNF levels in humans, including ketamine, esketamine, LSD, psilocybin, ayahuasca, DMT, MDMA, scopolamine, and rapastinel. Risk of bias was assessed using Cochrane Risk of Bias Tools. Using meta-regressions and mixed effects models, we additionally analyzed the impact of several potential moderators.

Results
We included 29 studies and found no evidence that psychoplastogens elevate peripheral BDNF levels in humans (SMD = 0.024, p = 0.64). This result was not affected by drug, dose, blood fraction, participant age, or psychiatric diagnoses. In general, studies with better-controlled designs and fewer missing values reported smaller effect sizes. Later measurement timepoints showed minimally larger effects on BDNF.

Conclusion
These data suggest that peripheral BDNF levels do not change after psychoplastogen administration in humans. It is possible that peripheral BDNF is not an informative marker of rapid changes in neuroplasticity, or that preclinical findings on psychoplastogens and neuroplasticity may not translate to human subjects. Limitations of this analysis include the reliability and validity of BDNF measurement and low variation in some potential moderators. More precise methods of measuring rapid changes in neuroplasticity, including neuroimaging and stimulation-based methods, are recommended for future studies attempting to translate preclinical findings to humans.
Structural alterations as a predictor of depression – a 7-Tesla MRI-based multidimensional approach
Authors: Schnellbächer Gereon J. , Rajkumar Ravichandran , Veselinović Tanja , Ramkiran Shukti , Hagen Jana , Collee Maria , Shah N. Jon , Neuner Irene 
Published: November 2024

AbstractMajor depressive disorder (MDD) is a debilitating condition that is associated with changes in the default-mode network (DMN). Commonly reported features include alterations in gray matter volume (GMV), cortical thickness (CoT), and gyrification. A comprehensive examination of these variables using ultra-high field strength MRI and machine learning methods may lead to novel insights into the pathophysiology of depression and help develop a more personalized therapy. Cerebral images were obtained from 41 patients with confirmed MDD and 41 healthy controls, matched for age and gender, using a 7-T-MRI. DMN parcellation followed the Schaefer 600 Atlas. Based on the results of a mixed-model repeated measures analysis, a support vector machine (SVM) calculation followed by leave-one-out cross-validation determined the predictive ability of structural features for the presence of MDD. A consecutive permutation procedure identified which areas contributed to the classification results. Correlating changes in those areas with BDI-II and AMDP scores added an explanatory aspect to this study. CoT did not delineate relevant changes in the mixed model and was excluded from further analysis. The SVM achieved a good prediction accuracy of 0.76 using gyrification data. GMV was not a viable predictor for disease presence, however, it correlated in the left parahippocampal gyrus with disease severity as measured by the BDI-II. Structural data of the DMN may therefore contain the necessary information to predict the presence of MDD. However, there may be inherent challenges with predicting disease course or treatment response due to high GMV variance and the static character of gyrification. Further improvements in data acquisition and analysis may help to overcome these difficulties.
Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW
Authors: Zhu Li-Fang , Körmann Fritz , Chen Qing , Selleby Malin , Neugebauer Jörg , Grabowski Blazej 
Published: November 2024

AbstractMelting properties are critical for designing novel materials, especially for discovering high-performance, high-melting refractory materials. Experimental measurements of these properties are extremely challenging due to their high melting temperatures. Complementary theoretical predictions are, therefore, indispensable. One of the most accurate approaches for this purpose is the ab initio free-energy approach based on density functional theory (DFT). However, it generally involves expensive thermodynamic integration using ab initio molecular dynamic simulations. The high computational cost makes high-throughput calculations infeasible. Here, we propose a highly efficient DFT-based method aided by a specially designed machine learning potential. As the machine learning potential can closely reproduce the ab initio phase-space distribution, even for multi-component alloys, the costly thermodynamic integration can be fully substituted with more efficient free energy perturbation calculations. The method achieves overall savings of computational resources by 80% compared to current alternatives. We apply the method to the high-entropy alloy TaVCrW and calculate its melting properties, including the melting temperature, entropy and enthalpy of fusion, and volume change at the melting point. Additionally, the heat capacities of solid and liquid TaVCrW are calculated. The results agree reasonably with the CALPHAD extrapolated values.
GameVibe: a multimodal affective game corpus
Authors: Barthet Matthew , Kaselimi Maria , Pinitas Kosmas , Makantasis Konstantinos , Liapis Antonios , Yannakakis Georgios N. 
Published: November 2024

AbstractAs online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, there is still a lack of readily available datasets with high-quality audiovisual stimuli. In this paper, we present GameVibe, a novel affect corpus which consists of multimodal audiovisual stimuli, including in-game behavioural observations and third-person affect traces for viewer engagement. The corpus consists of videos from a diverse set of publicly available gameplay sessions across 30 games, with particular attention to ensure high-quality stimuli with good audiovisual and gameplay diversity. Furthermore, we present an analysis on the reliability of the annotators in terms of inter-annotator agreement.
Characteristics of cast Ti53.3-xNb10Zr10Ni10Co10Fe6.7Bx compositionally complex alloys
Authors: Alshafey Mostafa , Megahed H. , El-Hadad Shimaa , Sato Hisashi , Z. Mohamed Lamiaa 
Published: November 2024

AbstractIn the current investigation, elemental boron was added to form a series of Ti53.3-xNb10Zr10Ni10Co10Fe6.7Bx Compositionally Complex Alloys (CCAs). Alloying was done via vacuum arc melting in amounts of 0.0, 5.3, and 10.6 at.%. From the thermodynamic parameters, adding B to the base alloy increased the system’s entropy. The microstructure of the prepared CCAs was characterized using scanning electron microscopy, transmission electron microscopy, and X-ray diffraction (XRD). The mechanical properties of CCAs as related to microstructure were assessed. According to XRD results, B-based intermetallic phases were obtained in the prepared CCAs, which were binary as Ti3B4 and ZrB2 and ternary as FeNbB and Nb3Co4B7. These intermetallic phases notably provided strengthening effects to the B-added alloys. Ti48Nb10Zr10Ni10Co10Fe6.7B5.3 CCA showed the most homogenous microstructure obtained by the arc melting process. Adding B increased Young’s modulus from 141 GPa (without B) to 195 GPa and 260 GPa with 5.3 and 10.6 at.%B, respectively. Hardness also increased from 502 to 606 HV with 5.3 at.% B and to 648 HV with 10.6 at.%B. Accordingly, the wear resistance increased with B addition where 10.6 at.%B sample showed the lowest wear rate among the other conditions. However, 5.3 at.% B was nominated as the optimum addition amount due to its notable microstructure homogeneity.
A function-based mapping of sensory integration along the cortical hierarchy
Authors: Wei Wei , Benn R. Austin , Scholz Robert , Shevchenko Victoria , Klatzmann Ulysse , Alberti Francesco , Chiou Rocco , Wassermann Demian , Vanderwal Tamara , Smallwood Jonathan , Margulies Daniel S. 
Published: November 2024

AbstractSensory information mainly travels along a hierarchy spanning unimodal to transmodal regions, forming multisensory integrative representations crucial for higher-order cognitive functions. Here, we develop an fMRI based two-dimensional framework to characterize sensory integration based on the anchoring role of the primary cortex in the organization of sensory processing. Sensory magnitude captures the percentage of variance explained by three primary sensory signals and decreases as the hierarchy ascends, exhibiting strong similarity to the known hierarchy and high stability across different conditions. Sensory angle converts associations with three primary sensory signals to an angle representing the proportional contributions of different sensory modalities. This dimension identifies differences between brain states and emphasizes how sensory integration changes flexibly in response to varying cognitive demands. Furthermore, meta-analytic functional decoding with our model highlights the close relationship between cognitive functions and sensory integration, showing its potential for future research of human cognition through sensory information processing.
Mitochondrial calcium uniporter complex controls T-cell-mediated immune responses
Authors: Shumanska Magdalena , Lodygin Dmitri , Gibhardt Christine S , Ickes Christian , Stejerean-Todoran Ioana , Krause Lena C M , Pahl Kira , Jacobs Lianne J H C , Paluschkiwitz Andrea , Liu Shuya , Boshnakovska Angela , Voigt Niels , Legler Tobias J , Haubrock Martin , Mitkovski Miso , Poschmann Gereon , Rehling Peter , Dennerlein Sven , Riemer Jan , Flügel Alexander , Bogeski Ivan 
Published: December 2024

Abstract
T-cell receptor (TCR)-induced Ca2+ signals are essential for T-cell activation and function. In this context, mitochondria play an important role and take up Ca2+ to support elevated bioenergetic demands. However, the functional relevance of the mitochondrial-Ca2+-uniporter (MCU) complex in T-cells was not fully understood. Here, we demonstrate that TCR activation causes rapid mitochondrial Ca2+ (mCa2+) uptake in primary naive and effector human CD4+ T-cells. Compared to naive T-cells, effector T-cells display elevated mCa2+ and increased bioenergetic and metabolic output. Transcriptome and proteome analyses reveal molecular determinants involved in the TCR-induced functional reprogramming and identify signalling pathways and cellular functions regulated by MCU. Knockdown of MCUa (MCUaKD), diminishes mCa2+ uptake, mitochondrial respiration and ATP production, as well as T-cell migration and cytokine secretion. Moreover, MCUaKD in rat CD4+ T-cells suppresses autoimmune responses in an experimental autoimmune encephalomyelitis (EAE) multiple sclerosis model. In summary, we demonstrate that mCa2+ uptake through MCU is essential for proper T-cell function and has a crucial role in autoimmunity. T-cell specific MCU inhibition is thus a potential tool for targeting autoimmune disorders.
The TRIM37 variant rs57141087 contributes to triple-negative breast cancer outcomes in Black women
Authors: Tihagam Rachisan Djiake , Lou Song , Zhao Yuanji , Liu Kammi Song-Yan , Singh Arjun Tushir , Koo Bon Il , Przanowski Piotr , Li Jie , Huang Xiaosong , Li Hong , Tushir-Singh Jogender , Fejerman Laura , Bhatnagar Sanchita 
Published: November 2024

AbstractTriple-negative breast cancer (TNBC) disproportionately affects younger Black women, who show more aggressive phenotypes and poorer outcomes than women of other racial identities. While the impact of socioenvironmental inequities within and beyond health systems is well documented, the genetic influence in TNBC-associated racial disparities remains elusive. Here, we report that cancer-free breast tissue from Black women expresses TRIM37 at a significantly higher level relative to White women. A reporter-based screen for regulatory variants identifies a non-coding risk variant rs57141087 in the 5’ gene upstream region of the TRIM37 locus with enhancer activity. Mechanistically, rs57141087 increases enhancer–promoter interactions through NRF1, resulting in stronger TRIM37 promoter activity. Phenotypically, high TRIM37 levels drive neoplastic transformations in immortalized breast epithelial cells. Finally, context-dependent TRIM37 expression reveals that early-stage TRIM37 levels affect the initiation and trajectory of breast cancer progression. Together, our results indicate a genotype-informed association of oncogenic TRIM37 with TNBC risk in Black women and implicate TRIM37 as a predictive biomarker to better identify patients at risk of aggressive TNBC.