bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnosis of Alzheimer’s disease using plasma biomarkers adjusted to clinical probability
Authors: Therriault Joseph , Janelidze Shorena , Benedet Andréa Lessa , Ashton Nicholas J. , Arranz Martínez Javier , Gonzalez-Escalante Armand , Bellaver Bruna , Alcolea Daniel , Vrillon Agathe , Karim Helmet , Mielke Michelle M. , Hyung Hong Chang , Roh Hyun Woong , Contador José , Puig Pijoan Albert , Algeciras-Schimnich Alicia , Vemuri Prashanthi , Graff-Radford Jonathan , Lowe Val J. , Karikari Thomas K. , Jonaitis Erin , Brum Wagner , Tissot Cécile , Servaes Stijn , Rahmouni Nesrine , Macedo Arthur C. , Stevenson Jenna , Fernandez-Arias Jaime , Wang Yi-Ting , Woo Marcel S. , Friese Manuel A. , Jia Wan Lu , Dumurgier Julien , Hourregue Claire , Cognat Emmanuel , Ferreira Pamela Lukasewicz , Vitali Paolo , Johnson Sterling , Pascoal Tharick A. , Gauthier Serge , Lleó Alberto , Paquet Claire , Petersen Ronald C. , Salmon David , Mattsson-Carlgren Niklas , Palmqvist Sebastian , Stomrud Erik , Galasko Douglas , Son Sang Joon , Zetterberg Henrik , Fortea Juan , Suárez-Calvet Marc , Jack Clifford R. , Blennow Kaj , Hansson Oskar , Rosa-Neto Pedro 
Published: November 2024

AbstractRecently approved anti-amyloid immunotherapies for Alzheimer’s disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. Blood-based biomarkers promise to reduce the need for PET or CSF testing; however, their interpretation at the individual level and the circumstances requiring confirmatory testing are poorly understood. Individual-level interpretation of diagnostic test results requires knowledge of disease prevalence in relation to clinical presentation (clinical pretest probability). Here, in a study of 6,896 individuals evaluated from 11 cohort studies from six countries, we determined the positive and negative predictive value of five plasma biomarkers for amyloid-β pathology in cognitively impaired individuals in relation to clinical pretest probability. We observed that p-tau217 could rule in amyloid-β pathology in individuals with probable AD dementia (positive predictive value above 95%). In mild cognitive impairment, p-tau217 interpretation depended on patient age. Negative p-tau217 results could rule out amyloid-β pathology in individuals with non-AD dementia syndromes (negative predictive value between 90% and 99%). Our findings provide a framework for the individual-level interpretation of plasma biomarkers, suggesting that p-tau217 combined with clinical phenotyping can identify patients where amyloid-β pathology can be ruled in or out without the need for PET or CSF confirmatory testing.
LARP1 binds ribosomes and TOP mRNAs in repressed complexes
Authors: Saba James A , Huang Zixuan , Schole Kate L , Ye Xianwen , Bhatt Shrey D , Li Yi , Timp Winston , Cheng Jingdong , Green Rachel 
Published: November 2024

AbstractTerminal oligopyrimidine motif-containing mRNAs (TOPs) encode all ribosomal proteins in mammals and are regulated to tune ribosome synthesis to cell state. Previous studies have implicated LARP1 in 40S- or 80S-ribosome complexes that are thought to repress and stabilize TOPs. However, a molecular understanding of how LARP1 and TOPs interact with these ribosome complexes is lacking. Here, we show that LARP1 directly binds non-translating ribosomal subunits. Cryo-EM structures reveal a previously uncharacterized domain of LARP1 bound to and occluding the mRNA channel of the 40S subunit. Increased availability of free ribosomal subunits downstream of various stresses promote 60S joining at the same interface to form LARP1-80S complexes. Simultaneously, LARP1 engages the TOP via its previously characterized La/PAM2 and DM15 domains. Contrary to expectations, ribosome binding within these complexes is not required for LARP1-mediated TOP repression or stabilization, two canonical LARP1 functions. Together, this work provides molecular insight into how LARP1 directly binds ribosomal subunits and challenges existing models describing the function of repressed LARP1-40S/80S-TOP complexes.
Graph neural link predictor based on cycle structure
Authors: Yang Yanlin , Ye Zhonglin , Meng Lei , Li Mingyuan , Zhao Haixing 
Published: November 2024

AbstractCurrently, the link prediction algorithms primarily focus on studying the interaction between nodes based on chain structure and star structure, which predominantly rely on low‐order structural information and do not explore the multivariate interactions between nodes from the perspective of higher‐order structural information present in the network. The cycle structure is a higher‐order structure that lies between the star and clique structures, where all nodes within the same cycle can interact with each other, even in the absence of direct edges. If a node is encompassed by multiple cycles, it indicates that the node interacts and associates with a greater number of nodes in the network, and it means the node is more important in the network to some extent. Furthermore, if two nodes are included in multiple cycles, it signifies the two nodes are more likely to be connected. Therefore, firstly, a multi‐information fusion node importance algorithm based on the cycle structure information is proposed, which integrates both high‐order and low‐order structural information. Secondly, the obtained integrated structure information and node feature information is regarded as the input features, a two‐channel graph neural network model is designed to learn the cycle structure information. Then, the cycle structure information is utilised for the task of link prediction, and a graph neural link predictor with multi‐information interactions based on the cycle structure is developed. Finally, extensive experimental validation and analysis show that the node ranking result of the proposed node importance index is more consistent with the actual situation, the proposed graph neural network model can effectively learn the cycle structure information, and using higher‐order structural information—cycle information proves to significantly enhance the overall link prediction performance.
Combining federated learning and control: A survey
Authors: Weber Jakob , Gurtner Markus , Lobe Amadeus , Trachte Adrian , Kugi Andreas 
Published: November 2024

AbstractThis survey provides an overview of combining federated learning (FL) and control to enhance adaptability, scalability, generalization, and privacy in (nonlinear) control applications. Traditional control methods rely on controller design models, but real‐world scenarios often require online model retuning or learning. FL offers a distributed approach to model training, enabling collaborative learning across distributed devices while preserving data privacy. By keeping data localized, FL mitigates concerns regarding privacy and security while reducing network bandwidth requirements for communication. This survey summarizes the state‐of‐the‐art concepts and ideas of combining FL and control. The methodical benefits are further discussed, culminating in a detailed overview of expected applications, from dynamical system modelling over controller design, focusing on adaptive control, to knowledge transfer in multi‐agent decision‐making systems.
Path planning strategies for logistics robots: Integrating enhanced A‐star algorithm and DWA
Authors: Zeng Xianyang , Zhang Jiawang , Yin Wenhui , Yang Hongli , Yu Hao , Liang Yuansheng , Tong Jinwu 
Published: November 2024

AbstractPath planning is the key part in the process of transportation conducted by logistics robots, and there often exist some problems with it. The path designed is not always smooth enough and its search efficiency is low, for example. As a common global path planning algorithm, A‐star is based on the traditional algorithm, which is unable to solve the problem of uneven path in the movement of logistics robots. Through improving the heuristic function of the traditional A‐star algorithm, weighing the heuristic function dynamically, removing the redundant points of the traditional star algorithm path with Floyd algorithm, and setting a safe distance to prevent the logistics robot from collision at the same time, the path is finally curved to be more appropriate to the movement path of the logistics robot. The MATLAB simulation of A‐star algorithm before and after the improvement shows that the turning points of the advanced A‐star algorithm reduced 61.5% on average compared to the traditional algorithm. The path length decreased 2.4% and the traversing points reduced 58.5%. At the same time, the DWA algorithm introduces dynamic weight coefficients, which can dynamically adjust the weight coefficients when encountering obstacles, so as to safely reach the target point.
Double red giant branch and red clump features of Galactic disc stellar populations with Gaia GSP-Spec
Authors: Recio-Blanco A. , de Laverny P. , Palicio P. A. , Cassisi S. , Pietrinferni A. , Lagarde N. , Navarrete C. 
Published: November 2024

Context. The bimodality of the Milky Way disc, in the form of a thick short disc and a thinner more radially extended one, encrypts the complex internal evolution of our Galaxy and its interaction with the environment.
Aims. To disentangle the different competing physical processes at play in Galactic evolution, a detailed chrono-chemical-kinematical and dynamical characterisation of the disc bimodality is necessary, including high number statistics.
Methods. Here, we make use of an extremely precise sub-sample of the Gaia DR3 GSP-Spec catalogue of stellar chemo-physical parameters. The selected database is composed of 408 800 stars with a median uncertainty of 10 K, 0.03, and 0.01 dex in Teff, log(ɡ) and [M/H], respectively.
Results. The stellar parameter precision allows us to break the age–metallicity degeneracy of disc stars. For the first time, the disc bimodality in the Kiel diagram of giant stars is observed, getting rid of interstellar absortion issues. This bimodality produces double red giant branch sequences and red clump features for mono-metallicity populations. A comparison with BaSTI isochrones allows us to demonstrate that an age gap is needed to explain the evolutionary sequence separation, in agreement with previous age–metallicity relations obtained using sub-giant stars. A bimodal distribution in the stellar mass-[α/Fe] plane is observed at constant metallicity. Finally, a selection of stars with [M/H]=0.45±0.03 dex shows that the most metal-rich population in the Milky Way disc presents an important proportion of stars with ages in the range of 5–13 Gyr, in agreement with previous literature findings. This old, extremely metal-rich population is possibly a mix of migrated stars from the internal Galactic regions, and old disc stars formed before the last major merger of the Milky Way.
Conclusions. The Gaia GSP-Spec Kiel diagrams of disc mono-abundance stellar populations reveal a complex, non-linear age-metallicity relation crafted by internal and external processes of Galactic evolution. Their detailed analysis opens new opportunities to reconstruct the puzzle of the Milky Way disc bimodality.
Turbulent plasma flow, its energies, and structures: Velocity vortices, magnetic field cocoons, and plasmoids
Authors: Jelínek P. , Karlický M. 
Published: November 2024

Context. Turbulent flows are believed to be present in the solar corona, especially in connection with solar flares and coronal mass ejections. They are supposed to be very effective processes in energy transportation and can contribute to the heating of the solar corona.
Aims. We study turbulence in reconnection outflows associated with flares and coronal mass ejections. We simulated the generation and evolution of the turbulent plasma flow and investigated its energies and formed plasma velocity and magnetic field structures.
Methods. For the numerical simulations, we adopted a three-dimensional (3D) magnetohydrodynamic (MHD) model, in which we solved a full set of the 3D time-dependent resistive and compressible MHD equations using the LARE3D numerical code.
Results. We numerically studied turbulence in the plasma flow in the model with the plasma parameters that could simulate processes in the magnetic reconnection outflows in solar flares. Starting from a non-turbulent plasma flow in the energetically closed system, we studied the evolution of the kinetic, internal, and magnetic energies during the turbulence generation. We found that most of the kinetic energy is transformed into the plasma heating (about 95%) and only a small part to the magnetic energy (about 5%). The turbulence in the system evolves to the saturation stage with the power-law index of the kinetic density spectrum, −5/3. Magnetic energy is also saturated due to its dissipation and reconnection in small and complex magnetic field structures. We show examples of the structures formed in studied turbulent flow: velocity vortices, magnetic field cocoons, and plasmoids.
Testing kinematic distances under a realistic Galactic potential
Authors: Hunter Glen H. , Sormani Mattia C. , Beckmann Jan P. , Vasiliev Eugene , Glover Simon C. O. , Klessen Ralf S. , Soler Juan D. , Brucy Noé , Girichidis Philipp , Göller Junia , Ohlin Loke , Tress Robin , Molinari Sergio , Gerhard Ortwin , Benedettini Milena , Smith Rowan , Hennebelle Patrick , Testi Leonardo 
Published: November 2024

Context. Obtaining reliable distance estimates to gas clouds within the Milky Way is challenging in the absence of certain tracers. The kinematic distance approach has been used as an alternative, and it is derived from the assumption of circular trajectories around the Galactic centre. Consequently, significant errors are expected in regions where gas flow deviates from purely circular motions.
Aims. We aim to quantify the systematic errors that arise from the kinematic distance method in the presence of a Galactic potential that is non-axisymmetric. We investigated how these errors differ in certain regions of the Galaxy and how they relate to the underlying dynamics.
Methods. We performed 2D isothermal hydrodynamical simulation of the gas disk with the moving-mesh code AREPO, adding the capability of using an external potential provided by the AGAMA library for galactic dynamics. We introduced a new analytic potential of the Milky Way, taking elements from existing models and adjusting parameters to match recent observational constraints.
Results. In line with results of previous studies, we report significant errors in the kinematic distance estimate for gas close to the Sun along sight lines towards the Galactic centre and anti-centre and associated with the Galactic bar. Kinematic distance errors are low within the spiral arms, as gas resides close to local potential minima and the resulting line-of-sight velocity is similar to what is expected for an axisymmetric potential. Interarm regions exhibit large deviations at any given Galactic radius, and this is caused by the gas being sped up or slowed down as it travels into or out of spiral arms. In addition, we identify ‘zones of avoidance’ in the lv-diagram, where the kinematic distance method is particularly unreliable and should only be used with caution, and we find a power-law relation between the kinematic distance error and the deviation of the projected line-of-sight velocity from circular motion.
A multi-wavelength overview of the giant spiral UGC 2885
Authors: Carvalho Matheus C. , Naguleswaran Bavithra , Barmby Pauline , Gorski Mark , Köenig Sabine , Holwerda Benne , Young Jason 
Published: November 2024

Context. UGC 2885 (z = 0.01935) is one of the largest and most massive galaxies in the local Universe, yet it has an undisturbed spiral structure, which is unexpected for such an object and is not predicted by cosmological simulations. Understanding the detailed properties of extreme systems such as UGC 2885 can provide insight into the limits of scaling relations and the physical processes driving galaxy evolution.
Aims. Our goal is to understand whether UGC 2885 has followed a similar evolutionary path as other high-mass galaxies by examining its place in the fundamental metallicity relation and on the star-forming main sequence.
Methods. We present new observations of UGC 2885 with the Canada-France-Hawaii Telescope and the Institut de radioastronomie millimétrique 30 m telescope. We used these novel data to calculate metallicity and molecular hydrogen mass values, respectively. We estimated the stellar mass (M⋆) and star formation rate (SFR) based on mid-infrared observations with the Wide-field Infrared Survey Explorer.
Results. We find global metallicities Z = 9.28, 9.08, and 8.74 at the 25 kpc ellipsoid from the N2O2, R23, and O3N2 indices, respectively. This puts UGC 2885 at the high end of the galaxy metallicity distribution. We find a molecular hydrogen mass of MH2 = 1.89 ± 0.24 × 1011 M⊙, a SFR of 1.63 ± 0.72 M⊙ yr−1, and a stellar mass of 4.83 ± 1.52 × 1011 M⊙, which gives a star formation efficiency (SFR/MH2) of 8.67 ± 4.20 × 1012 yr−1. This indicates that UGC 2885 has an extremely high molecular gas content compared to known samples of star-forming galaxies (∼100 times more) and a relatively low SFR for its current gas content.
Conclusions. We conclude that UGC 2885 has gone through cycles of star formation periods, which increased its stellar mass and metallicity to its current state. The mechanisms that are fuelling the current molecular gas reservoir and keeping the galaxy from producing stars remain uncertain. We discuss the possibility that a molecular bar is quenching star-forming activity.
An alternating minimization algorithm with trajectory for direct exoplanet detection
Authors: Daglayan H. , Vary S. , Absil O. , Cantalloube F. , Christiaens V. , Gillis N. , Jacques L. , Leplat V. , Absil P.-A. 
Published: November 2024

Context. Effective image post-processing algorithms are vital for the successful direct imaging of exoplanets. Standard point spread function (PSF) subtraction methods use techniques based on a low-rank approximation to separate the rotating planet signal from the quasi-static speckles and rely on signal-to-noise ratio maps to detect the planet. These steps do not interact or feed each other, leading to potential limitations in the accuracy and efficiency of exoplanet detection.
Aims. We aim to develop a novel approach that iteratively finds the flux of the planet and the low-rank approximation of quasi-static signals in an attempt to improve upon current PSF subtraction techniques.
Methods. In this study, we extend the standard L2 norm minimization paradigm to an L1 norm minimization framework in order to better account for noise statistics in the high contrast images. Then, we propose a new method, referred to as the alternating minimization algorithm with trajectory (AMAT), that makes more advanced use of estimating the low-rank approximation of the speckle field and the planet flux by alternating between them and utilizing both L1 and L2 norms. For the L1 norm minimization, we propose using L1 norm low-rank approximation (L1-LRA), a low-rank approximation computed using an exact block-cyclic coordinate descent method, while we use randomized singular value decomposition for the L2 norm minimization. Additionally, we enhance the visibility of the planet signal using a likelihood ratio as a post-processing step.
Results. Numerical experiments performed on a VLT/SPHERE-IRDIS dataset show the potential of AMAT to improve upon the existing approaches in terms of higher S/N, sensitivity limits (contrast curves), and receiver operating characteristic curves. Moreover, for a systematic comparison, we used datasets from the exoplanet data challenge to compare our algorithm with other algorithms in the challenge, and we find AMAT with a likelihood ratio map performs better than most algorithms tested on the exoplanet data challenge.
Essstörungsbezogene Symptomreduktion, suizidales/selbstverletzendes
Verhalten, emotionale Dysregulation und Beziehungsschwierigkeiten bei
essstörungsspezifischer Behandlung – Eine klinische Studie
Authors: Dippold Brigitte , Dreyße Kathrin , Kröger Christoph 
Published: November 2024

ZusammenfassungIn dieser Studie wurde ein möglicher Zusammenhang zwischen
suizidalem/selbstverletzendem Verhalten und der Veränderung der
selbstberichteten Essstörungssymptomatik sowie Emotionaler Dysregulation und
Beziehungsschwierigkeiten bei einer essstörungsspezifischen Behandlung
explorativ untersucht. Hierzu wurden folgende Selbstberichtsmaße bei 167
Patientinnen einer psychosomatischen Klinik erhoben: der Symptomindex des Eating
Disorder Inventory-2 (EDI-SI) und die Skala zur Erfassung der Impulsivität und
emotionalen Dysregulation der Borderline-Persönlichkeitsstörung (IES-27) mit den
Subskalen Suizidales und selbstverletzendes Verhalten (SVV/SEV), emotionale
Dysregulation (EmotDys) und Beziehungsschwierigkeiten (BezSchw). Die
Teilnehmenden wurden in Abhängigkeit des Auftretens von SVV/SEV vor Beginn
und/oder vor Ende der Behandlung in vier Gruppen eingeteilt. Eine einfaktorielle
multivariate Analyse der Varianz (MANOVA) mit Messwiederholung zeigte eine
Interaktion von Zeit und Gruppe hinsichtlich EDI-SI, EmotDys und BezSchw. Die
Effektstärken des Prä-Post-Vergleichs des EDI-SI waren in den nach Auftreten von
SVV/SEV aufgeteilten Gruppen sehr unterschiedlich (0,27<g*< 1,32). Für
Personen mit im Behandlungsverlauf neu aufgetretenem SVV/SEV konnte im Mittel
keine Verbesserung des EDI-SI festgestellt werden. Personen, die SVV/SEV im
Behandlungsverlauf abstellen konnten, profitierten auch hinsichtlich des EDI-SI.
Entscheidend für die Berücksichtigung von SVV/SEV bei Patientinnen mit
Essstörung scheint weniger das vor Behandlungsbeginn berichtete SVV/SEV, sondern
mehr im Behandlungsverlauf neu aufgetretenes oder anhaltendes SVV/SEV.
2001–2021 Comparative Persistence of Oral Antipsychotics in Patients
Initiating Treatment: Superiority of Clozapine in Time-to-Treatment
Discontinuation
Authors: Parabiaghi Alberto , Galbussera Alessia A. , D’Avanzo Barbara , Tettamanti Mauro , Fortino Ida , Barbato Angelo 
Published: November 2024

Abstract
Background Continuous antipsychotic (AP) therapy is crucial for managing
psychotic disorders, and its early interruption reflects the drugʼs failure.
Real-world epidemiological research is essential for confirming experimental
data and generating new research hypotheses.
Methods The persistence of oral APs in a large population sample from 2000
to 2021 was analyzed by comparing AP prescriptions over this period across four
Italian provinces, using dispensing data linked via a record-linkage procedure
among regional healthcare utilization databases. We calculated personalized
daily dosages and assessed time-to-treatment discontinuation over a 3-month
period for patients initiating AP treatment. Treatment persistence was evaluated
using Kaplan-Meier curves and Cox regression, with adjustments for age and
sex.
Results Second-generation antipsychotics (SGAs) were favored over
first-generation antipsychotics (FGAs), with olanzapine as the most prescribed.
Within the study time frame, 42,434 individuals were prescribed a new continuous
AP regimen. The analysis revealed 24 significant differences within 28
comparisons. As a class, SGAs demonstrated better treatment persistence than
FGAs (HR: 0.76; 95%CI: 0.73, 0.79). Clozapine stood out for its superior
persistence, surpassing all other SGAs, notably olanzapine (HR: 0.85; 95%CI:
0.79–0.91) and risperidone (HR: 0.80; 95%CI: 0.74–0.87). Olanzapine and
aripiprazole showed better results than both risperidone and quetiapine.
Quetiapine showed inferior 3-month persistence in all pairwise comparisons.
Conclusion The study results provide insight into the performance dynamics
among SGAs: clozapine, despite being one of the less frequently dispensed APs in
our sample, emerged as a significant prescription choice. The significance of
pharmacoepidemiological studies in complementing experimental findings is also
underscored.