Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated care for optimizing the management of stroke and associated heart disease: a position paper of the European Society of Cardiology Council on Stroke

Abstract The management of patients with stroke is often multidisciplinary, involving various specialties and healthcare professionals. Given the common shared risk factors for stroke and cardiovascular disease, input may also be required from the cardiovascular teams, as well as patient caregivers and next-of-kin. Ultimately, the patient is central to all this, requiring a coordinated and uniform approach to the priorities of post-stroke management, which can be consistently implemented by different multidisciplinary healthcare professionals, as part of the patient ‘journey’ or ‘patient pathway,’ supported by appropriate education and tele-medicine approaches. All these aspects would ultimately aid delivery of care and improve patient (and caregiver) engagement and empowerment. Given the need to address the multidisciplinary approach to holistic or integrated care of patients with heart disease and stroke, the European Society of Cardiology Council on Stroke convened a Task Force, with the remit to propose a consensus on Integrated care management for optimizing the management of stroke and associated heart disease. The present position paper summarizes the available evidence and proposes consensus statements that may help to define evidence gaps and simple practical approaches to assist in everyday clinical practice. A post-stroke ABC pathway is proposed, as a more holistic approach to integrated stroke care, would include three pillars of management: A: Appropriate Antithrombotic therapy. B: Better functional and psychological status. C: Cardiovascular risk factors and Comorbidity optimization (including lifestyle changes).
Cyclic Octapeptides Composed of Two Glutathione Units Outperform the Monomer in Lead Detoxification

A rationally‐designed scaffold of cyclic octapeptides composed of two units of the natural tripeptide glutathione (GSH) was optimized to strongly and selectively capture toxic lead ions (Pb(II)). Using state‐of‐the‐art computational tools, a list of eleven plausible peptides was shortened to five analogs based on their calculated affinity to Pb(II) ions. We then synthesized and investigated them for their abilities to recover Pb‐poisoned human cells. A clear pattern was observed from the in vitro detoxification results, indicating the importance of cavity size and polar moieties to enhance metal capturing. These, together with the apparent benefit of cyclizing the peptides, improved the detoxification of the two lead peptides by approximately two folds compared to GSH and the benchmark chelating agents against Pb poisoning. Moreover, the two peptides did not show any toxicity and, therefore, were thoroughly investigated to determine their potential as next‐generation remedies for Pb poisoning.
Simulating the perceptual effects of electrode–retina distance in prosthetic vision

Objective. Retinal prostheses aim to restore some vision in retinitis pigmentosa and age-related macular degeneration blind patients. Many spatial and temporal aspects have been found to affect prosthetic vision. Our objective is to study the impact of the space-variant distance between the stimulating electrodes and the surface of the retina on prosthetic vision and how to mitigate this impact. Approach. A prosthetic vision simulation was built to demonstrate the perceptual effects of the electrode–retina distance (ERD) with different random spatial variations, such as size, brightness, shape, dropout, and spatial shifts. Three approaches for reducing the ERD effects are demonstrated: electrode grouping (quads), ERD-based input-image enhancement, and object scanning with and without phosphene persistence. A quantitative assessment for the first two approaches was done based on experiments with 20 subjects and three vision-based computational image similarity metrics. Main results. The effects of various ERDs on phosphenes’ size, brightness, and shape were simulated. Quads, chosen according to the ERDs, effectively elicit phosphenes without exceeding the safe charge density limit, whereas single electrodes with large ERD cannot do so. Input-image enhancement reduced the ERD effects effectively. These two approaches significantly improved ERD-affected prosthetic vision according to the experiment and image similarity metrics. A further reduction of the ERD effects was achieved by scanning an object while moving the head. Significance. ERD has multiple effects on perception with retinal prostheses. One of them is vision loss caused by the incapability of electrodes with large ERD to evoke phosphenes. The three approaches presented in this study can be used separately or together to mitigate the impact of ERD. A consideration of our approaches in reducing the perceptual effects of the ERD may help improve the perception with current prosthetic technology and influence the design of future prostheses.
Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China.

Joint genomic evaluation by combining data recordings and genomic information from different pig herds and populations is of interest for pig breeding companies because the efficiency of genomic selection (GS) could be further improved. In this work, an efficient strategy of joint genomic evaluation combining data from multiple pig populations is investigated. Total Teat Number (TTN), a trait that is equally recorded on 13 060 American Yorkshire (AY) populations (~14.68 teats) and 10 060 Danish Yorkshire (DY) pigs (~14.29 teats), was used to explore the feasibility and accuracy of GS combining datasets from different populations. We first estimated the genetic correlation (rg) of TTN between AY and DY pig populations (rg=0.79, se=0.23). Then we employed the genome-wide association study (GWAS) to identify QTL regions that are significantly associated with TTN and investigate the genetic architecture of TTN in different populations. Our results suggested that the genomic regions controlling TTN are slight different in the two Yorkshire populations, where the candidate QTL regions were on SSC 7 and SSC 8 for AY population and on SSC 7 for DY population. Finally, we explored an optimal way of genomic prediction for TTN via three different Genomic Best Linear Unbiased Prediction (GBLUP) models and we concluded that when TTN across populations are regarded as different, but correlated, traits in a multi-trait model, predictive abilities for both Yorkshire populations improve. As a conclusion, joint genomic evaluation for target traits in multiple pig populations is feasible in practice and more accurate, provided a proper model is used.
Development of silicon detectors for Beam Loss Monitoring at HL-LHC

Silicon detectors were proposed as novel Beam Loss Monitors (BLM) for the control of the radiation environment in the vicinity of the superconductive magnets of the High-Luminosity Large Hadron Collider. The present work is aimed at enhancing the BLM sensitivity and therefore the capability of triggering the beam abort system before a critical radiation load hits the superconductive coils. We report here the results of three in situ irradiation tests of Si detectors carried out at the CERN PS at 1.9–4.2 K. The main experimental result is that all silicon detectors survived irradiation up to 1.22× 1016 p/cm2. The third test, focused on the detailed characterization of the detectors with standard (300 μm) and reduced (100 μm) thicknesses, showed only a marginal difference in the sensitivity of thinned detectors in the entire fluence range and a smaller rate of signal degradation that promotes their use as BLMs. The irradiation campaigns produced new information on radiation damage and carrier transport in Si detectors irradiated at the temperatures of 1.9–4.2 K. The results were encouraging and permitted to initiate the production of the first BLM prototype modules which were installed at the end of the vessel containing the superconductive coil of a LHC magnet immersed in superfluid helium to be able to test the silicon detectors in real operational conditions.
Changes in transepithelial electrical resistance and intracellular ion concentration in TGF-β-induced epithelial-mesenchymal transition of retinal pigment epithelial cells.

OBJECTIVE This study aimed to investigate the changes in transepithelial electrical resistance (TEER) and ion concentrations, and their relationship in TGF-β-induced epithelial-mesenchymal transition (EMT) of retinal pigment epithelial (RPE) cells. METHODS RPE cell line ARPE-19 was employed and treated with 10 ng/ml TGF-β1 and TGF-β2 to establish the EMT model in vitro. The EMT markers fibronectin, N-cadherin, occludin, zona occludens 1(ZO-1) and claudin-19 were investigated by western blot and immunofluorescence. CellZscope system was used to monitor the TEER values. Fluorescent probe, flow cytometry and automatic microplate reader were employed to detect the changes of Ca2+, Mg2+, Zn2+, Na+ and K+ in ARPE-19 cells. RESULTS The TGF-β1-induced EMT of ARPE-19 cells was marked by the disruption of the distribution of occludin, ZO-1, and claudin-19. The development of TEER was significantly disturbed in both TGF-β1 and TGF-β2 treatment groups. Also, the time course of the maximum slope indicated that the fastest decrease in TEER values occurred after 36 hours. The concentrations of Ca2+, Mg2+, Zn2+, and K+ increased in TGF-β1- and TGF-β2-treated ARPE-19 cells, while the concentration of Na+ decreased. Significant inverse correlations were detected between the concentrations of Ca2+, Mg2+, Zn2+, and K+ and TEER values in ARPE-19 cells treated with TGF-β1. The Na+ concentration and TEER values showed a positive correlation. Similar results were observed in the TGF-β2 treatment group. The time-effect analysis showed that the concentrations of Ca2+, Mg2+, Zn2+ and K+ increased and peaked after 72, 72, 48, and 72 h, respectively, with the extension of TGF-β1 treatment time. In the TGF-β2 treatment group, the Ca2+, Mg2+, Zn2+, and K+ concentrations were also upregulated and reached their highest after 72, 72, 72, and 36 h, respectively. In contrast, the concentration of Na+ decreased and reached the lowest after 48 h in the TGF-β1 treatment group and after 72 h in the TGF-β2 treatment group. CONCLUSION TGF-β1 and TGF-β2 disrupted the ARPE-19 cell monolayer, disturbed TJs integrity, downregulated TEER values, and changed intracellular ion permeability. These findings might help further understand the EMT of RPE cells during PVR.
Impact of bacterial infections and spontaneous bacterial peritonitis prophylaxis on phage‐bacterial dynamics in cirrhosis

Gut microbiota, including bacteria and phages, are altered in cirrhosis, but their role during infections and spontaneous bacterial peritonitis (SBP) prophylaxis is unclear. Our aim was determine metagenomic changes in gut bacteria; phages and their linkages centered around Gram‐negative and Gram‐positive pathobionts in patients with cirrhosis with/without infections or SBP prophylaxis.
Marketing innovation: A new informative communication case for the skull and palate-craniofacial implants

Marketing innovation is an important information communication. This study design medical 3D image technology. The information platform directly with the physician communication links, a substantial increase in traditional communication between the medical practitioners. That can be fast and accurate completion of the skull and palate-craniofacial implants customization, response Product feasibility and modification, reduce the operation time and customization of medical error rate, but also reduce the delay in treatment of patients with time-course risk.
The brain of the tree pangolin (Manis tricuspis). VII. The amygdaloid body

Here, we describe the cytoarchitecture and chemoarchitecture of the amygdaloid body of the tree pangolin. Our definition of the amygdaloid body includes the pallial portions of the amygdala, and the centromedial group that is a derivative of the subpallium and part of the extended amygdala. The remainder of the extended amygdala is not described herein. Within the amygdaloid body of the tree pangolin, we identified the basolateral group (composed of the lateral, basal, and accessory basal amygdaloid nuclei), the superficial, or cortical nuclei (the anterior and posterior cortical nuclei, the periamygdaloid cortex, and nuclei of the olfactory tract), the centromedial group (the central amygdaloid nucleus and the medial nuclear cluster), and other amygdaloid nuclei (the anterior amygdaloid area, the amygdalohippocampal area, the intramedullary group, and intercalated islands). The location within and relative to each other within the amygdaloid body and the internal subdivisions of these groups were very similar to that reported in other mammalian species, with no clearly derived features specific to the tree pangolin. The only variation was the lack of an insular appearance of the intercalated islands, which in the tree pangolin were observed as a continuous band of neurons located dorsomedial to the basolateral group similar in appearance to and almost continuous with the intramedullary group. In carnivores, the closest relatives of the pangolins, and laboratory rats, a similar appearance of portions of the intercalated islands has been noted.
High expression of RASAL1, a hub gene in the progression of liver cancer, suggests a poor prognostis.

OBJECTIVE Liver cancer (LC) is a frequently occurring lethal malignancy worldwide, yet the molecular mechanisms of carcinogenesis and their development remain uncharacterized. In this study, bioinformatics methods were used to find candidate hub genes for prognosis assessment and clinical treatment of LC. METHODS Differential analysis was carried out based on the evidence of gene expression profiling in LC on The Cancer Genome Atlas (TCGA). The differentially expressed genes (DEGs) were constructed into co-expression networks and divided into modules by virtue of weighted gene co-expression network analysis (WGCNA). Based on the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), the module genes were subjected to functional enrichment analysis. The LC microarray (GSE105130) in the Gene Expression Omnibus was selected to verify the hub genes' expression profiles. The validity of the hub genes was verified via survival analysis, as well as expression correlation with the clinicopathological features. Thereafter, gene set variation analysis (GSVA) and single-sample gene set enrichment analysis (GSEA) were applied to investigate the possible biological functions of the hub genes. RESULTS In total, 3780 DEGs and 17 co-expression modules were obtained. The blue module had the strongest correlation with the tumour stage and the module genes were principally enriched in tumour-associated GO terms, as well as pathways such as Ras protein signal transduction, ERK1/2 cascade, Ras signal pathway, and ECM-receptor interaction. RASAL1, which is highly expressed in LC, was identified as a hub gene for LC progression. Its high expression suggested unfavorable patient prognosis and was correlated with T stage, gender and tumour stage. Further analysis identified that the overexpression of RASAL1 was substantially enriched in cancer-associated gene sets. CONCLUSION RASAL1 is a hub gene that influences LC progression, constituting a novel biomarker and molecular target in the future diagnosis and therapy of LC.
Nezzle: an interactive and programmable visualization of biological networks in Python

Abstract Summary High-quality visualization of biological networks often requires both manual curation for proper alignment and programming to map external data to the graphical components. Nezzle is a network visualization software written in Python, which provides programmable and interactive interfaces for facilitating both manual and automatic curation of the graphical components of networks to create high-quality figures. Availability and implementation Nezzle is an open-source project under MIT license and is available from https://github.com/dwgoon/nezzle. Supplementary information Supplementary data are available at Bioinformatics online.
Robust control power system stabilizer using LMI approach

Robust control theory considers a fundamental and practically important issue in power system environment. It turns out that many of the simplest questions are very difficult to solve, but researchers have made considerable progress over the last twenty years. Recent techniques of robust control theory, based on convex optimization over linear matrix inequalities (LMIs) might change this. In this project, robust design of power system stabilizers is considered. A new approach is presented that utilizes recently developed techniques based on LMI for mixed H 2/H design. The design is easily carried out by solving a standard LMI problem. Simulation results on a single machine infinite bus system illustrate the technique, and results are compared with Nonlinear Based Optimization approach.
Mice lacking MBNL1 and MBNL2 exhibit sudden cardiac death and molecular signatures recapitulating myotonic dystrophy

Abstract Myotonic dystrophy (DM) is caused by expansions of C(C)TG repeats in the non-coding regions of the DMPK and CNBP genes, and DM patients often suffer from sudden cardiac death due to lethal conduction block or arrhythmia. Specific molecular changes that underlie DM cardiac pathology have been linked to repeat-associated depletion of Muscleblind-like (MBNL) 1 and 2 proteins and upregulation of CUGBP, Elav-like family member 1 (CELF1). Hypothesis solely targeting MBNL1 or CELF1 pathways that could address all the consequences of repeat expansion in heart remained inconclusive, particularly when the direct cause of mortality and results of transcriptome analyses remained undetermined in Mbnl compound knockout (KO) mice with cardiac phenotypes. Here, we develop Myh6-Cre double KO (DKO) (Mbnl1−/−; Mbnl2cond/cond; Myh6-Cre+/−) mice to eliminate Mbnl1/2 in cardiomyocytes and observe spontaneous lethal cardiac events under no anesthesia. RNA sequencing recapitulates DM heart spliceopathy and shows gene expression changes that were previously undescribed in DM heart studies. Notably, immunoblotting reveals a nearly 6-fold increase of Calsequestrin 1 and 50% reduction of epidermal growth factor proteins. Our findings demonstrate that complete ablation of MBNL1/2 in cardiomyocytes is essential for generating sudden death due to lethal cardiac rhythms and reveal potential mechanisms for DM heart pathogenesis.
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images

This article presents a novel deep network with irregular convolutional kernels and self-expressive property (DIKS) for the classification of hyperspectral images (HSIs). Specifically, we use the principal component analysis (PCA) and superpixel segmentation to obtain a series of irregular patches, which are regarded as convolutional kernels of our network. With such kernels, the feature maps of HSIs can be adaptively computed to well describe the characteristics of each object class. After multiple convolutional layers, features exported by all convolution operations are combined into a stacked form with both shallow and deep features. These stacked features are then clustered by introducing the self-expression theory to produce final features. Unlike most traditional deep learning approaches, the DIKS method has the advantage of self-adaptability to the given HSI due to building irregular kernels. In addition, this proposed method does not require any training operations for feature extraction. Because of using both shallow and deep features, the DIKS has the advantage of being multiscale. Due to introducing self-expression, the DIKS method can export more discriminative features for HSI classification. Extensive experimental results are provided to validate that our method achieves better classification performance compared with state-of-the-art algorithms.
Acquisition of mouse optical structures in vivo with the aid of registered atlas

In fluorescence molecular tomography (FMT), the reconstruction results can greatly benefit from a priori information of accurate tissue optical-structures, which is difficult to be obtained in vivo with the traditional diffuse optical tomography (DOT) alone. One of the solutions is to apply a priori anatomical-structures obtained with anatomical imaging systems such as X-ray computed tomography (XCT) to constrain the reconstruction process of DOT. However, since the X-ray imaging mechanism limits the contrast between soft-tissues, it is difficult to segment the abdominal organs from XCT images. In order to overcome the challenges, the anatomical-structures of a target mouse are approximately obtained through registering a standard mouse anatomical atlas, i.e., the Digimouse, to its XCT volume with non-rigid image registration, and the optical-structures of the target mouse is approximately estimated through anatomical-structures guided time-resolve DOT strategy. Results of numerical simulations reveals that the an effective target atlas can be obtained through the registration method, and the results show that the absorption and reduced scattering coefficients of each organs can be recovered with reasonable accuracies.
Bee venom protects against pancreatic cancer via inducing cell cycle arrest and apoptosis with suppression of cell migration.

Background Pancreatic cancer seriously threatens human health. Bee venom is a mixture of enzymes, peptides, and amines. Due to its biological activity, bee venom is widely used as an anti-inflammatory agent and pain reliever. However, little is known about the effect of bee venom on pancreatic cancer. Methods Firstly, the Cell Counting Kit-8 (CCK-8) assay was conducted to analyze the cytotoxicity of bee venom on PANC-1 and AsPC-1 cells. Then, we evaluated the cell cycle and apoptosis by flow cytometry and the terminal deoxynucleotidyl transferase (TdT) dUTP Nick-End Labeling (TUNEL) assay. In addition, cell migration was analyzed by the cell scratch test and Transwell assay. Western blot was performed to assess the expression of proteins involved in the regulation of cell cycle arrest and apoptosis. Results Results demonstrated that bee venom significantly suppressed cell proliferation via inducing cell cycle arrest and apoptosis with suppression of cell migration. Bee venom induced S phase arrest and ameliorated the protein expression of cyclins and cyclin-dependent kinases (CDKs). At the same time, bee venom can activate the p53-p21 pathway. Experimental data also showed that bee venom induced cell apoptosis and impeded cell migration. Conclusions The present study revealed that bee venom could effectively inhibit tumor progression in pancreatic cancer cells, indicating the possibility of bee venom as an anti-tumor drug in pancreatic cancer.