Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between serum trace elements and sleep disturbance in patients with decompensated cirrhosis

Background: Sleep disturbance and trace elements imbalance are common features in patients with decompensated cirrhosis, partially sharing similar mechanistic contributors and linking to adverse outcomes. However, there is a paucity of data concerning their relationship. Objectives: To investigate the association between serum trace elements levels and sleep quality in the context of cirrhosis. Design: Cross-sectional study. Methods: We consecutively enrolled 160 patients with decompensated cirrhosis. The sleep disturbance was determined by the Pittsburgh Sleep Quality Index (PSQI > 5). Serum trace elements [magnesium, calcium, iron, copper (Cu), zinc (Zn), lead, and manganese] was measured by inductively coupled plasma mass spectrometry. Association of examined trace elements levels and sleep disturbance was analyzed by multiple linear (global PSQI scores) and multivariate logistic (dichotomized PSQI categories) regression models, respectively. Results: In total, 91 patients (56.88%) represented PSQI-defined sleep disturbance, characterized by female preponderance, lower body mass index levels, and higher serum Cu levels (all p < 0.05). Looking into its clinical relevance with debilitating conditions, we showed that Cu/Zn ratio (CZr) is significantly higher in cirrhosis with poor sleep quality (1.77 versus 1.48, p = 0.003). Diagnostic performance analysis indicated CZr > 1.62 to exhibit better discrimination relative to respective Cu. Both multiple linear (β = 0.355, p < 0.001) and multivariate logistic regression (odds ratio = 2.364, p = 0.019) identified higher CZr as an independent risk factor associated with sleep disturbance. Conclusion: Our findings implied an association between higher CZr and the presence of sleep disturbance in patients with decompensated cirrhosis.
FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks

Graph Neural Networks (GNNs) have been widely developed and grown rapidly to address representation and learning for attribute graph data <inline-formula><tex-math notation="LaTeX">$G(A,X)$</tex-math></inline-formula>. However, existing studies on GNNs mainly focus on the message passing on graph <inline-formula><tex-math notation="LaTeX">$A$</tex-math></inline-formula> for layer-wise propagation while pay less attention to the robust learning for the input features <inline-formula><tex-math notation="LaTeX">$X$</tex-math></inline-formula>, which thus make existing GNNs often perform susceptibility w.r. t feature noises and adversarial perturbations in <inline-formula><tex-math notation="LaTeX">$X$</tex-math></inline-formula>. In this article, we propose a novel Feature Learning guided Graph Neural Networks (FL-GNNs) by incorporating robust feature learning into GNNs. The core of FL-GNNs is trying to recover (or learn) a more clean and optimal feature data <inline-formula><tex-math notation="LaTeX">$Z$</tex-math></inline-formula> from input features <inline-formula><tex-math notation="LaTeX">$X$</tex-math></inline-formula> that better serves GNNs learning by jointly conducting feature reconstruction and GNNs' learning simultaneously. FL-GNNs is general and can be incorporated into any specific GNN models to enhance their robustness. An efficient algorithm has been derived to optimize FL-GNNs. Experimental results show that FL-GNNs can obviously enhance the robustness of existing GCN and GAT w.r. t feature noises and adversarial perturbations.
Procesamiento Digital de textura: Técnicas utilizadas en aplicaciones actuales de CBIR

The work that is presented in this article is an overview of the main methods and techniques of visual texture feature for digital image processing, particularly in image retrieval systems based on content (CBIR). This paper also presents three CBIR applications in which the emphasis is on texture features and their techniques used. In CBIR an image is represented by a collection of visual features that describe the content of the image. The primitive features or low-level visual information is color, texture or shape. Texture can be seen as the repetition of a basic spatial pattern, the structure can be periodic or partially periodic. In addition, the texture of a surface refers to the distribution of intensity values in spatial and their properties are evaluated in: fineness, roughness, smoothness, granulation, randomness, etc. There is no standard classification of the methods and techniques for texture analysis, in this review we show that most stands out: a) structural and syntactic methods, and b) Statistical methods. Applications of texture in image retrieval are specific domains such as medical image analysis, remote recognition as aerial images, or industrial inspection.
Inpatient Rehabilitation Outcomes after Primary Severe Haemorrhagic Stroke: A Retrospective Study Comparing Surgical versus Non-Surgical Management

Background: Haemorrhagic stroke, accounting for 10–20% of all strokes, often requires decompressive surgery as a life-saving measure for cases with massive oedema and raised intracranial pressure. This study was conducted to compare the demographics, characteristics and rehabilitation profiles of patients with severe haemorrhagic stroke who were managed surgically versus those who were managed non-surgically. Methods: A single-centre retrospective study of electronic medical records was conducted over a 3-year period from 1 January 2018 to 31 December 2020. The inclusion criteria were first haemorrhagic stroke, age of >18 years and an admission Functional Independence Measure (FIM™) score of 18–40 upon admission to the rehabilitation centre. The primary outcome measure was discharge FIM™. Secondary outcome measures included modified Rankin Scale (mRS), rehabilitation length of stay (RLOS) and complication rates. Results: A total of 107 patients’ records were analysed; 45 (42.1%) received surgical intervention and 62 (57.9%) patients underwent non-surgical management. Surgically managed patients were significantly younger than non-surgical patients, with a mean age of [surgical 53.1 (SD 12) vs. non-surgical 61.6 (SD 12.3), p = 0.001]. Admission FIM was significantly lower in the surgical vs. non-surgical group [23.7 (SD6.7) vs. 26.71 (SD 7.4), p = 0.031). However, discharge FIM was similar between both groups [surgical 53.91 (SD23.0) vs. non-surgical 57.0 (SD23.6), p = 0.625). Similarly, FIM gain (surgical 30.1 (SD 21.1) vs. non-surgical 30.3 (SD 21.1), p = 0.094) and RLOS [surgical 56.2 days (SD 21.5) vs. non-surgical 52.0 days (SD 23.4), p = 0.134) were not significantly different between groups. The majority of patients were discharged home (surgical 73.3% vs. non-surgical 74.2%, p = 0.920) despite a high level of dependency. Conclusions: Our findings suggest that patients with surgically managed haemorrhagic stroke, while older and more dependent on admission to rehabilitation, achieved comparable FIM gains, discharge FIM and discharge home rates after ~8 weeks of rehabilitation. This highlights the importance of rehabilitation, especially for surgically managed haemorrhagic stroke patients.
Scaling Analysis of Time-Reversal Asymmetries in Fully Developed Turbulence

In fully developed turbulence, there is a flux of energy from large to small scales in the inertial range until the dissipation at small scales. It is associated with irreversibility, i.e., a breaking of the time reversal symmetry. Such turbulent flows are characterized by scaling properties, and we consider here how irreversibility depends on the scale. Indicators of time-reversal symmetry for time series are tested involving triple correlations in a non-symmetric way. These indicators are built so that they are zero for a time-reversal symmetric time series, and a departure from zero is an indicator of irreversibility. We study these indicators applied to two fully developed turbulence time series, from flume tank and wind tunnel databases. It is found that irreversibility occurs in the inertial range and has scaling properties with slopes close to one. A maximum value is found around the injection scale. This confirms that the irreversibility is associated with the turbulent cascade in the inertial range and shows that the irreversibility is maximal at the injection scale, the largest scale of the turbulent cascade.
Growth of highly crystalline WO3 nanorod using a facile hydrothermal synthesis

Tungsten oxide (WO3), which is also known as tungsten trioxide and wide band gap semiconductor material has drawn enormous attention among researchers due to its fascinating properties. Using facile one step hydrothermal method, the synthesis and characterizations of highly crystalline 1D nanorod of WO3 are presented in this paper with large scale production of the material. Several characterization techniques, such as transmission electron microscopy (TEM), field emission gun-scanning electron microscopy (FEG-SEM), X-ray diffraction (XRD), UV-vis spectroscopy have been employed to check the crystallinity, surface morphology, shape, and band gap of the nanomaterial. The XRD data confirms about the highly crystalline hexagonal phase of WO3, which agrees well with the JCPDS card no – 01-085- 2459. Nanorod like morphology can be seen in the low-resolution TEM image. In the HRTEM image, the highly crystalline nature of the material is clearly visible and the obtained interplanar spacing is 0.38 nm which matches with the interplanar spacing of (002) plane. The FEG-SEM image shows the 1D nanorod morphology of the synthesized material. The diameters of the nanorods are in the range of 50-300 nm. The Fourier transform infrared spectroscopy (FTIR) revels the structural information about the synthesized material. The broad peak around 805 cm-1 is attributed to the W-O-W bond stretching vibration. Two other peaks appeared at 1405 and 1628 cm-1 are representing the vibration mode of W-OH bond. We have also studied the UV-vis absorption spectroscopy of the WO3 nanorod to investigate the light absorption property of the material. The band gap obtained from the Tauc plot is 3.16 eV, indicates the wide and direct band gap formation of WO3 nanorod. The synthesized material is suitable for various applications, such as gas sensing, UV photodetector, supercapacitor, and photocatalyst.
Clinical Reasoning and Classification of Cardiomyopathies

Clinical Reasoning and Classification of Cardiomyopathies Vagner Madrini Junior,1,2 Evandro Tinoco Mesquita,3 Diane Xavier de Avila,4,5 Fabio Fernandes1 Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo,1 São Paulo, SP – Brazil Hospital Israelita Albert Einstein,2 São Paulo – SP – Brazil Universidade Federal Fluminense Hospital Universitário Antônio Pedro,3 Niterói, RJ – Brazil Complexo Hospitalar de Niterói,4 Niterói, RJ – Brazil Universidade Federal Fluminense – Pós-graduação Ciências Cardiovasculares,5 Niterói, RJ – Brazil
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models

Navigation safety is of paramount importance in areas with heavy and complex maritime traffic. Any ship navigating such a scenario should be able to foresee the future positions of other ships and adjust its path accordingly to avoid collisions. However, predicting future trajectories is a very challenging problem due to many possible future trajectories from the inherent uncertainty and the complex interaction dynamics between different ships. In this article, we propose a deep generative model based on the conditional variational autoencoder framework to learn marine vessel movement and predict future trajectories. The model is able to produce a multimodal probability distribution over future trajectories and model the complex interactions between vessels. Experiments are performed in two-vessel encounter scenarios from real-world automatic identification system data. The proposed model outperforms the baseline methods, including both kinematics-based and data-driven methods. The trajectories predicted by the proposed model are also analyzed to demonstrate the effectiveness of the model.
Utilización de la cestilla de Moss en el tratamiento de fracturas patológicas vertebrales

espanolLas fracturas patologicas vertebrales pueden inducir radiculo o mielopatia compresiva, inestabilidad y deformidad, de tal forma que el objetivo del tratamiento consistiria en restablecer lo mas rapidamente posible la anatomia y funcion. En este sentido la utilizacion de una malla cilindrica de titanio como la «cestilla de Moss» consigue una estabilidad inmediata y permite la carga precoz. Presentamos un estudio retrospectivo de 6 pacientes afectos de fractura patologica vertebral intervenidos mediante abordaje anterior y estabilizacion instrumentada combinada con la «cestilla de Moss» rellena de injerto oseo o cemento acrilico. La valoracion clinica se realiza subjetivamente por la presencia de dolor y neurologicamente segun los grados de Frankel pre y postoperatorios. Radiologicamente se valora la correccion de la cifosis/lordosis/acunamiento segun el metodo de Cobb. La utilizacion de la «cestilla de Moss» en fracturas patologicas vertebrales consigue una estabilidad completa sin dependencia de la fusion osea. EnglishPathological spinal fractures could induce neurological deficit, instability and deformity. Therefore, the objective of the treatment consists of re-establishing the most quickly possible the anatomy and normal function. In this sense, the utilization of a cylindrical mesh of titanium, like the Moss's mesh, provide an immediate stability permiting early loading. We report a retrospective study of 6 patients with pathological spinal fracture operated by anterior decompression and spine stabilization using the Moss's mesh padded of bone graft acrylic cement. Clinical assessment was made subjectively for the presence of pain and neurologic ally according to pre and postoperatively Frankel's grades. The correction of the kyphosis, lordosis and vertebral collapse was assessed according to the Cobb's method. The utilization of the Moss's mesh in pathological spinal fractures provides a complete stability without dependence of the status of bone fusion.
CAR-T in the Treatment of Acute Myeloid Leukemia: Barriers and How to Overcome Them

Conventional therapies for acute myeloid leukemia (AML) are characterized by high rates of relapse, severe toxicities, and poor overall survival rates. Thus, the development of new therapeutic strategies is crucial for improving the survival and quality of life of AML patients. CD19-directed chimeric antigen receptor (CAR) T-cell immunotherapy has been extremely successful in the treatment of B-cell acute lymphoid leukemia and several mature B-cell lymphomas. However, the use of CAR T-cell therapy for AML is currently prevented due to the lack of a myeloid equivalent to CD19, as currently known cell surface targets on leukemic blasts are also expressed on healthy hematopoietic stem and progenitor cells as well as their progeny. In addition, the immunosuppressive tumor microenvironment has a dampening effect on the antitumor activity of CAR-T cells. Here, we review the therapeutic challenges limiting the use of CAR T-cell therapy for AML and discuss promising novel strategies to overcome them.
Mesures et Caractérisation du Trafic dans le Réseau National Universitaire (RNU)

Cette these porte sur la mesure et la caracterisation du trafic dans le Reseau National Universitaire (RNU) avec des applications a la detection des anomalies. Pour ce faire, une sonde de mesures passives a ete deployee sur le reseau RNU. Plusieurs traces de trafic ont ete collectees puis analysees, relevant ainsi les caracteristiques du trafic RNU en les comparant avec l'etat de l'art. Par la suite, deux approches de detection d'anomalies basees sur des algorithmes non parametriques et utilisant des donnees faciles a collecter sont proposees. La premiere considere comme anomalie, tout point excentrique dans les series temporelles de metriques de volume et utilise l'analyse en composantes principales et la distance de Mahalanobis. La seconde traque les variations affectant les distributions du trafic de scan dans l'espace des adresses IP et des numeros de ports visites. Son evaluation face a des traces de trafic reelles et des traces artificiellement modifiees a montre que la divergence de Kullback-Leibler de la distribution conjointe permet d'exposer la presence de tous les scans aussi bien horizontaux que verticaux.
Sensing the Virtual

This article examines somaesthetics in virtual reality via the spatial lens of atmosphere, adapting theories of atmosphere to virtual environments and advocating for VR as a distinctive terrain for somaesthetics. Building on Gernot Böhme’s analyses of atmosphere, this exploration unpacks ways that artists have engaged the body and space in VR, from creative interface design to multisensory storytelling, and projects that blend physical and virtual environments. Having mapped the confluence of somaesthetics, atmosphere, and immersive virtual space, the paper concludes considering the practical need for cultivating atmospheric competence in VR.
The Inversion of Sampling Solved Algebraically

We show that Shannon’s reconstruction formula can be written as a ∗ ( b · c ) = c = ( a ∗ b ) · c with tempered distributions a , b , c ∈ S (cid:48) ( (cid:82) n ) where ∗ is convolution, · is multiplication, c is the function being sampled and restored after sampling, b · is sampling and a ∗ its inverse. The requirement a ∗ b = 1 which describes a smooth partition of unity where b = III is the Dirac comb implies that a is satisﬁed by unitary functions introduced by Lighthill (1958). They form convolution inverses of the Dirac comb. Choosing a = sinc yields Shannon’s reconstruction formula where the requirement a ∗ b = 1 is met approximately and cannot be exact because sinc is not integrable. In contrast, unitary functions satisfy this requirement exactly and stand for the set of functions which solve the problem of inverse sampling algebraically.
Benefit of continuous kidney replacement therapy for managing tumor lysis syndrome in children with hematologic malignancies

Introduction Tumor lysis syndrome (TLS) is often diagnosed in children with hematological malignancies and can be life threatening due to metabolic disturbances. Continuous renal replacement therapy (CKRT) can reverse these disturbances relatively quickly when conventional medical management fails. Our objective was to investigate the benefit of CKRT in the management of TLS in children admitted to the intensive care unit with hematologic malignancies. In addition, we sought to assess risk factors for acute kidney injury (AKI) in the setting of TLS. Methods Retrospective review of all children admitted to the intensive care unit with TLS who received CKRT from January 2012 to August 2022. Results Among 222 children hospitalized with TLS from January 2012 to August 2022, 20 (9%) underwent CKRT to manage TLS in the intensive care unit. The patients’ median age was 13 years (range 3-17 y), and most were males (18/20). T-cell acute lymphoblastic leukemia was the most common diagnosis (n=10), followed by acute myeloid leukemia (n=4), Burkitt lymphoma (n=4), and B-cell acute lymphoblastic leukemia (n=2). Five patients required mechanical ventilation, and 2 required vasopressors. The most common indication for CKRT was hyperphosphatemia, followed by, hyperuricemia, and hyperkalemia. All metabolic abnormalities corrected within 12 h of initiation of CKRT. CKRT courses were brief, with a median duration of 2 days (range 1-7 days). Having higher serum phosphorus levels 12 h preceding CKRT was significantly associated with severe acute kidney injury (AKI). The median phosphorus level was 6.4 mg/dL in children with no/mild AKI and 10.5 mg/dL in children with severe AKI (p=0.0375). Serum uric acid levels before CKRT were not associated with AKI. All children survived to hospital discharge, and the one-year survival rate was 90%. Conclusion CKRT is safe in children with hematologic malignancies with severe TLS and reverses metabolic derangements within 6-12 h. Most patients had AKI at the initiation of CKRT but did not require long-term kidney replacement therapy. Hyperphosphatemia before initiation of CKRT is associated with higher risk of AKI.
Chromatin assembly factor-1 preserves genome stability in ctf4Δ cells by promoting sister chromatid cohesion

Chromatin assembly and the establishment of sister chromatid cohesion are intimately connected to the progression of DNA replication forks. Here we examined the genetic interaction between the heterotrimeric chromatin assembly factor-1 (CAF-1), a central component of chromatin assembly during replication, and the core replisome component Ctf4. We find that CAF-1 deficient cells as well as cells affected in newly-synthesized H3-H4 histones deposition during DNA replication exhibit a severe negative growth with ctf4Δ mutant. We dissected the role of CAF-1 in the maintenance of genome stability in ctf4Δ yeast cells. In the absence of CTF4, CAF-1 is essential for viability in cells experiencing replication problems, in cells lacking functional S-phase checkpoint or functional spindle checkpoint, and in cells lacking DNA repair pathways involving homologous recombination. We present evidence that CAF-1 affects cohesin association to chromatin in a DNA-damage-dependent manner and is essential to maintain cohesion in the absence of CTF4. We also show that Eco1-catalyzed Smc3 acetylation is reduced in absence of CAF-1. Furthermore, we describe genetic interactions between CAF-1 and essential genes involved in cohesin loading, cohesin stabilization, and cohesin component indicating that CAF-1 is crucial for viability when sister chromatid cohesion is affected. Finally, our data indicate that the CAF-1-dependent pathway required for cohesion is functionally distinct from the Rtt101-Mms1-Mms22 pathway which functions in replicated chromatin assembly. Collectively, our results suggest that the deposition by CAF-1 of newly-synthesized H3-H4 histones during DNA replication creates a chromatin environment that favors sister chromatid cohesion and maintains genome integrity.