Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsupervised Network Embedding for Graph Visualization, Clustering and Classification

A main challenge in mining network-based data is finding effective ways to represent or encode graph structures so that it can be efficiently exploited by machine learning algorithms. Several methods have focused in network representation at node/edge or substructure level. However, many real life challenges such as time-varying, multilayer, chemical compounds and brain networks involve analysis of a family of graphs instead of single one opening additional challenges in graph comparison and representation. Traditional approaches for learning representations relies on hand-crafting specialized heuristics to extract meaningful information about the graphs, e.g statistical properties, structural features, etc. as well as engineered graph distances to quantify dissimilarity between networks. In this work we provide an unsupervised approach to learn embedding representation for a collection of graphs so that it can be used in numerous graph mining tasks. By using an unsupervised neural network approach on input graphs, we aim to capture the underlying distribution of the data in order to discriminate between different class of networks. Our method is assessed empirically on synthetic and real life datasets and evaluated in three different tasks: graph clustering, visualization and classification. Results reveal that our method outperforms well known graph distances and graph-kernels in clustering and classification tasks, being highly efficient in runtime.
Surgical site infection after hip fracture – mortality and risk factors: an observational cohort study of 1,709 patients

Background and purpose — Surgical site infection (SSI) is a devastating complication of hip fracture surgery. We studied the contribution of early deep SSI to mortality after hip fracture surgery and the risk factors for deep SSI with emphasis on the duration of surgery. Patients and methods — 1,709 patients (884 hemiarthroplasties, 825 sliding hip screws), operated from 2012 to 2015 at a single center were included. Data were obtained from the Norwegian Hip Fracture Register, the electronic hospital records, the Norwegian Surveillance System for Antibiotic Use and Hospital-Acquired Infections, and the Central Population Register. Results — The rate of early (≤ 30 days) deep SSI was 2.2% (38/1,709). Additionally, for hemiarthroplasties 7 delayed (> 30 days, ≤ 1 year) deep SSIs were reported. In patients with early deep SSI 90-day mortality tripled (42% vs. 14%, p < 0.001) and 1-year mortality doubled (55% vs. 24%, p < 0.001). In multivariable analysis, early deep SSI was an independent risk factor for mortality (RR 2.4 for 90-day mortality, 1.8 for 1-year mortality, p < 0.001). In univariable analysis, significant risk factors for early and delayed deep SSI were cognitive impairment, an intraoperative complication, and increasing duration of surgery. However, in the multivariable analysis, duration of surgery was no longer a significant risk factor. Interpretation — Early deep SSI is an independent risk factor for 90-day and 1-year mortality after hip fracture surgery. After controlling for observed confounding, the association between duration of surgery and early and delayed deep SSI was not statistically significant.
Evidence that stress-induced changes in surface temperature serve a thermoregulatory function

ABSTRACT The fact that body temperature can rise or fall following exposure to stressors has been known for nearly two millennia; however, the functional value of this phenomenon remains poorly understood. We tested two competing hypotheses to explain stress-induced changes in temperature, with respect to surface tissues. Under the first hypothesis, changes in surface temperature are a consequence of vasoconstriction that occur to attenuate blood loss in the event of injury and serve no functional purpose per se; defined as the ‘haemoprotective hypothesis’. Under the second hypothesis, changes in surface temperature reduce thermoregulatory burdens experienced during activation of a stress response, and thus hold a direct functional value: the ‘thermoprotective hypothesis’. To understand whether stress-induced changes in surface temperature have functional consequences, we tested predictions of these two hypotheses by exposing black-capped chickadees (n=20) to rotating stressors across an ecologically relevant ambient temperature gradient, while non-invasively monitoring surface temperature (eye region temperature) using infrared thermography. Our results show that individuals exposed to rotating stressors reduce surface temperature and dry heat loss at low ambient temperature and increase surface temperature and dry heat loss at high ambient temperature, when compared with controls. These results support the thermoprotective hypothesis and suggest that changes in surface temperature following stress exposure have functional consequences and are consistent with an adaptation. Such findings emphasize the importance of the thermal environment in shaping physiological responses to stressors in vertebrates, and in doing so, raise questions about their suitability within the context of a changing climate. Highlighted Article: Empirical evidence for a functional value to stress-induced changes in surface temperature that is consistent with an adaptation, using a temperate endotherm (the black-capped chickadee) as a model species.
miR-145 suppresses ovarian cancer progression via modulation of cell growth and invasion by targeting CCND2 and E2F3

MicroRNAs (miRNA/miRs) have been demonstrated to be critical post-transcriptional modulators of gene expression during tumorigenesis. Numerous miRNAs have been revealed to be downregulated in human epithelial ovarian cancer (EOC). In the present study, it was observed that the expression of miR-145 was decreased in EOC tissues and cell lines. Overexpression of miR-145 inhibited the proliferation, migration and invasion of EOC cells. The D-type cyclin 2, cyclin D2 (CCND2), and E2F transcription factor 3 (E2F3) were confirmed to be targets of miR-145. In addition, restoration of these 2 genes significantly reversed the tumor suppressive effects of miR-145. Collectively, the results indicated that miR-145 serves a critical role in suppressing the biological behavior of EOC cells by targeting CCND2 and E2F3. Therefore, miR-145 was suggested to be a potential miRNA-based therapeutic target in ovarian cancer.
A Comparison of the Physiological Responses in Professional and Amateur Sports Car Racing Drivers

ABSTRACT Purpose:Automobile racing is physically challenging, but there is no information related to experience level and physiological responses to racing. The aim of this study was to compare physiological responses of professional (PRO) and amateur (AM) sportscar drivers. Methods:Four male racing drivers (PRO n = 2, AM n = 2), completed a physical fitness assessment and had heart rate (HR), breathing rate 10 (BR), skin temperature (Tsk), core temperature (Tcore), physiological strain index (PSI) and blood glucose (BG) measured continuously during six races. Rate of perceived exertion (RPE), blood lactate, and fluid loss were measured post-race. Results:AM had higher HR compared to PRO during driver changes (AM: 177 ± 12 beats·min−1, PRO: 141 ± 16 beats·min−1, p < .0001), pit stops (AM: 139 ± 14 beats·min−1, PRO: 122 ± 1 beats·min−1, p = .0381) and cautions (AM: 144 ± 13 beats·min−1, PRO: 15 123 ± 11 beats·min−1, p = .0059). During pit stops, PRO (26 ± 6 respirations·min−1) displayed a significantly greater BR than AM (AM: 18 ± 7 respirations·min−1, p = .0004). Tcore was greater for PRO (38.4 ± 0.4°C) drivers while in the car during pit stops than AM (36.1 ± 2.5°C, p < .0001). AM displayed elevated PSI during cautions (AM: 5.5 ± 1.8, PRO: 3.2 ± 1.3, p < .0001) and pit stops (AM: 5.6 ± 1.4, PRO: 2.8 ± 1.1, p < .0001). BG was increased for AM versus PRO during pit stops (AM: 20 132.9 ± 20.2 mg·dl−1, PRO: 106.5 ± 3.5 mg·dl−1, p = .0015) and during racing (AM: 150.9 ± 34.6 mg·dl−1, PRO: 124.9 ± 16.0 mg·dl−1, p = .0018). AM (3.3 ± 1.7 mmol·dl−1) had a higher blood lactate than PRO (1.7 ± 2.6 mmol·dl−1, p = .0491) from pre to post-race. AM (1.90 ± 0.54 kg) lost more fluids over the race than PRO (1.36 ± 0.67 kg, p = .0271). Conclusions:Amateur drivers could fatigue faster in the car which results in a decreased driving performance.
Artificial intelligence in ophthalmology: Current applications and emerging issues

was no madarosis or destruction of lid architecture. An excisional biopsy was performed, revealing histological characteristics consistent with a papillary oncocytoma. The patient underwent further excision with intraoperative frozen-section for an incomplete deep margin with subsequent histology confirming complete excision. Our case is only the 12th reported patient in the literature with an eyelid oncocytoma. This rare, but potentially aggressive tumour has been previously reported to recur despite complete excision in a single case by Morand et al. This case had an unusual presentation of early ptosis and exophthalmos and compounded by the patient's aversion to surgery, ultimately required a right orbital exenteration. In all other cases reported, including ours, the clinical course was much less aggressive, with presentation involving an isolated, usually cystic, eyelid lesion and complete excision being curative (Figure 1). Our case highlights the need to consider rarer tumours in the differential diagnosis when presented with a gradually enlarging cystic lesion on the eyelid and perform biopsywherever suspicious.
Deciphering Nuclear Mechanobiology in Laminopathy

Extracellular mechanical stimuli are translated into biochemical signals inside the cell via mechanotransduction. The nucleus plays a critical role in mechanoregulation, which encompasses mechanosensing and mechanotransduction. The nuclear lamina underlying the inner nuclear membrane not only maintains the structural integrity, but also connects the cytoskeleton to the nuclear envelope. Lamin mutations, therefore, dysregulate the nuclear response, resulting in abnormal mechanoregulations, and ultimately, disease progression. Impaired mechanoregulations even induce malfunction in nuclear positioning, cell migration, mechanosensation, as well as differentiation. To know how to overcome laminopathies, we need to understand the mechanisms of laminopathies in a mechanobiological way. Recently, emerging studies have demonstrated the varying defects from lamin mutation in cellular homeostasis within mechanical surroundings. Therefore, this review summarizes recent findings highlighting the role of lamins, the architecture of nuclear lamina, and their disease relevance in the context of nuclear mechanobiology. We will also provide an overview of the differentiation of cellular mechanics in laminopathy.
Complexity of type IV collagens: from network assembly to function

Abstract Collagens form complex networks in the extracellular space that provide structural support and signaling cues to cells. Network-forming type IV collagens are the key structural components of basement membranes. In this review, we discuss how the complexity of type IV collagen networks is established, focusing on collagen α chain selection in type IV collagen protomer and network formation; covalent crosslinking in type IV collagen network stabilization; and the differences between solid-state type IV collagen in the extracellular matrix and soluble type IV collagen fragments. We further discuss how complex type IV collagen networks exert their physiological and pathological functions through cell surface integrin and nonintegrin receptors.
Effective treatment with guselkumab for psoriatic alopecia as paradoxical reaction

revealed that homozygous or heterozygous loss-of-function mutation of IL36RN causes GPP. This genetic disorder is also called deficiency of interleukin (IL)-36 receptor antagonist (DITRA). In this case, the symptoms of GPP developed following the elevation of liver enzyme levels after surgery for HCC. Although DITRA triggered by liver surgery for HCC has not been reported previously, there are several murine studies about the relationship between the IL36RN mutation, cancer development, liver injury and overexpression of IL-36c. Hepatic IL-36c expression was reportedly upregulated in a murine acetaminopheninduced liver injury model. Furthermore, IL36RN mutation has been identified in cancer tissues. It has been speculated that IL36RN has multiple roles in cancer development. Interestingly, p.Arg10X, a loss-of-function mutation that causes GPP, has been reported in tumor tissues. Therefore, the IL36RN mutation may possibly be associated with HCC. Moreover, liver injury due to surgery might have triggered GPP symptoms by serum elevation of serum IL-36c in the present case. To our knowledge, this is the first case report on GPP with DITRA that developed following liver injury due to HCC resection. The present case suggests that liver injury is one of the precipitating factors that can trigger or enhance acute GPP with DITRA. Furthermore, the occurrence of malignant tumor should be carefully examined in patients with GPP due to DITRA.
Retaining event files in working memory requires extra object-based attention than the constituent elements

Retaining events containing action-related information in working memory (WM) is vital to daily activities such as action planning and social interaction. During processing of such events, action-related information is bound with other visual elements (e.g., colours) as event files. In this study, we explored whether retaining event files in WM consumes more attention than retaining the constituent elements. Considering that object-based attention underlies the rehearsal of static feature bindings in WM, we hypothesised that object-based attention played a key role in retaining event files in WM. As biological motion (BM) is one of the most frequently observed events in daily life, we employed BM-related event files as the tested stimuli. In separate blocks, we required participants to memorise BM, colours (or locations), or the binding between these elements (i.e., event files). Critically, we added an object-feature report task, which consumed object-based attention, during the WM maintenance phase. We predicted that the added secondary task would lead to larger impairment for BM event files than for the constituent elements. In line with this prediction, Experiments 1 and 2 consistently revealed a selective impairment to BM event files, which could not be attributed to an unbalanced number of elements between memory conditions (Experiment 3), or to the visual processing of a secondary task (Experiment 4). Taken together, these results suggest that object-based attention plays a pivotal role in maintaining event files in WM.
The Multiple Roles of the Cdc14 Phosphatase in Cell Cycle Control

The Cdc14 phosphatase is a key regulator of mitosis in the budding yeast Saccharomyces cerevisiae. Cdc14 was initially described as playing an essential role in the control of cell cycle progression by promoting mitotic exit on the basis of its capacity to counteract the activity of the cyclin-dependent kinase Cdc28/Cdk1. A compiling body of evidence, however, has later demonstrated that this phosphatase plays other multiple roles in the regulation of mitosis at different cell cycle stages. Here, we summarize our current knowledge about the pivotal role of Cdc14 in cell cycle control, with a special focus in the most recently uncovered functions of the phosphatase.
Balanced Influence Maximization in Attributed Social Network Based on Sampling

Influence maximization in social networks is the problem of finding a set of seed nodes in the network that maximizes the spread of influence under certain information prorogation model, which has become an important topic in social network analysis. In this paper, we show that conventional influence maximization algorithms cause uneven spread of influence among different attribute groups in social networks, which could lead to severer bias in public opinion dissemination and viral marketing. We formulate the balanced influence maximization problem to address the trade-off between influence maximization and attribute balance, and propose a sampling based solution to solve the problem efficiently. To avoid full network exploration, we first propose an attribute-based (AB) sampling method to sample attributed social networks with respect to preserving network structural properties and attribute proportion among user groups. Then we propose an attributed-based reverse influence sampling (AB-RIS) algorithm to select seed nodes from the sampled graph. The proposed AB-RIS algorithm runs efficiently with guaranteed accuracy, and achieves the trade-off between influence maximization and attribute balance. Extensive experiments based on four real-world social network datasets show that AB-RIS significantly outperforms the state-of-the-art approaches in balanced influence maximization.
Neural Style Transfer for Point Clouds

How can we edit or transform the geometric or color property of a point cloud? In this study, we propose a neural style transfer method for point clouds which allows us to transfer the style of geometry or color from one point cloud either independently or simultaneously to another. This transfer is achieved by manipulating the content representations and Gram-based style representations extracted from a pre-trained PointNet-based classification network for colored point clouds. As Gram-based style representation is invariant to the number or the order of points, the same method can be extended to transfer the style extracted from an image to the color expression of a point cloud by merely treating the image as a set of pixels. Experimental results demonstrate the capability of the proposed method for transferring style from either an image or a point cloud to another point cloud of a single object or even an indoor scene.
Chronological storage age and metabolic age of stored red blood cells: are they the same?

Red blood cell (RBC) storage in the blood bank is characterized by the progressive loss of metabolic regulation, a phenomenon that targets energy and antioxidant metabolism; While the progression of the storage lesion is inevitable, the rate at which this phenomenon occurs varies from donor to donor; Red blood cells from some donors at the end of storage are metabolically superior to RBCs from other donors at the beginning of storage, suggesting that the age of blood alone may not be a sufficiently accurate predictor of stored blood quality; and Animal studies and large‐scale omics screening in blood donors have helped identify mechanistic contributors to the metabolic heterogeneity of stored blood units.
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports

In this paper, we present SPread, an automated financial metric extraction and spreading tool from earnings reports. The tool is created in a document-agnostic fashion, and uses an interpolation of tagging methods to capture arbitrarily complicated expressions. SPread can handle single-line items as well as metrics broken down into sub-items. A validation layer further improves the performance of upstream modules and enables the tool to reach an F1 performance of more than 87% for metrics expressed in tabular format, and 76% for metrics in free-form text. The results are displayed to end-users in an interactive web interface, which allows them to locate, compare, validate, adjust, and export the values.
Managing keloid scars: From radiation therapy to actual and potential drug deliveries

The aetiology of keloids is becoming clearer, but many questions remain, including about the most optimal treatment. Current therapies include surgical excision, radiotherapy, and various pharmaceutical drugs. However, none of these drugs are keloid‐specific. Moreover, all current interventions are associated with high recurrence rates. Here, we review the pharmaceutical interventions that are currently available. All are based on the fact that keloids are an expanding solid mass with intense chronic inflammation at its advancing edges. Consequently, current pharmaceuticals aim to reduce the mass and/or symptoms of keloids, similar to surgery and radiotherapy. They include chemotherapies, immunotherapies, volume‐reducing therapies, and anti‐inflammatory therapies. We also describe new advances in keloid pharmaceuticals. They include drugs that were designed to treat systemic diseases such as hypertension or breast cancer but were found to also treat keloids. Furthermore, recent progress in genetic, epigenetic, and stem cell therapies suggests that they could become useful in the keloid field. This review of pharmaceutical advances will hopefully promote additional research and the development of effective and specific pharmaceuticals for keloids.
Identification and Geographic Distribution of Serotypes of Potato Virus Y.

From a panel of 10 monoclonal antibodies (MAbs) prepared against specific isolates representing the three recognized strain groups of potato virus Y (PVY), i.e., common (PVYO), tobacco veinal necrosis (PVYN), and stipple streak (PVYC), seven were selected for serotype analysis. These MAbs were tested for reactivity with 52 PVY strains representing all three strain groups from an international collection. Within the PVYN strain group, five serotypes were identified and designated N1 to N5. The PVYO strain group was more diverse, and nine serotypes were defined and designated O1 to O9. Only one serotype, designated C1, was defined) within the PVYC strain group. The same panel of MAbs was used to test 632 PVY samples collected from potato seed certification plots in North America. Although no PVY(N) serotypes were found, all of the PVYO serotypes were identified, and several samples, tentatively assigned to the C1 serotype, were found.
Control vector parameterization with sensitivity based refinement applied to baking optimization

In bakery production, product quality attributes as crispness, brownness, crumb and water content are developed by the transformations that occur during baking and which are initiated by heating. A quality driven procedure requires process optimization to improve bakery production and to find operational procedures for new products. Control vector parameterization (CVP) is an effective method for the optimization procedure. However, for accurate optimization with a large number of parameters CVP optimization takes a long computation time. In this work, an improved method for direct dynamic optimization using CVP is presented. The method uses a sensitivity based step size refinement for the selection of control input parameters. The optimization starts with a coarse discretization level for the control input in time. In successive iterations the step size was refined for the parameters for which the performance index has a sensitivity value above a threshold value. With this selection, optimization is continued for a selected group of input parameters while the other nonsensitive parameters (below threshold) are kept constant. Increasing the threshold value lowers the computation time, however the obtained performance index becomes less. A threshold value in the range of 10–20% of the mean sensitivity satisfies well. The method gives a better solution for a lower computation effort than single run optimization with a large number of parameters or refinement procedures without selection. © 2008 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.