Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic role of elevated mir-24-3p in breast cancer and its association with the metastatic process

MicroRNAs have been shown to play important roles in breast cancer progression and can serve as biomarkers. To assess the prognostic role of a panel of miRNAs in breast cancer, we collected plasma prospectively at the time of initial diagnosis from 1,780 patients with stage I-III breast cancer prior to definitive treatment. We identified plasma from 115 patients who subsequently developed distant metastases and 115 patients without metastatic disease. Both groups were matched by: age at blood collection, year of blood collection, breast cancer subtype, and stage. The median follow up was 3.4 years (range, 1-9 years). We extracted RNA from plasma and analyzed the expression of 800 miRNAs using Nanostring technology. We then assessed the expression of miRNAs in primary and metastatic breast cancer samples from The Cancer Genome Atlas (TCGA). We found that, miR-24-3p was upregulated in patients with metastases, both in plasma and in breast cancer tissues. Patients whose primary tumors expressed high levels of miR-24-3p had a significantly lower survival rate compared to patients with low mir-24-3p levels in the TCGA cohort (n=1,024). RNA-Seq data of the samples with the highest miR-24-3p expression versus those with the lowest miR-24-3p in the TCGA cohort identified a specific gene expression signature for those tumors with high miR-24-3p. Possible target genes for miR-24-3p were predicted based on gene expression and binding site, and their effects on cancer pathways were evaluated. Cancer, breast cancer and proteoglycans were the top three pathways affected by miR-24-3p overexpression.
Effects of artificial rearing on electrophysiology and behavior in adult rats

Maternal separation during crucial periods of development can lead to both physiological and behavioral sequelae. However, the exact consequences of maternal separation are paradigm dependent. The present study utilized complete artificial rearing (AR) to evaluate the effects of maternal separation on behavioral and electrophysiological functioning. In this procedure thermoregulation and weight gain progress are normal, but pups are deprived of any maternal influence from postnatal day 4 to 12. Artificial rearing was found to have no effect on EEG as assessed using spectral analyses. However, the N1 component of the auditory event‐related potential (ERP) in artificially reared rats was significantly delayed. Artificial rearing had no effect on overall locomotor activity, but artificially reared rats were more behaviorally inhibited than suckled controls in the open field. This study suggests that artificial rearing or chronic maternal separation (24 h/day from PN4 to PN12), while not producing gross behavioral effects, can produce selective enduring alterations in neurosensory responses. Depression and Anxiety 4:279–288, 1996/1997. © 1997 Wiley‐Liss, Inc.
Effect of annealing time on the microstructure and properties of Nb-bearing high-strength IF steel with super-fine grains

Taking a Nb-bearing high-strength IF steel with super-fine grains as an object of study,cold rolling and simulative continuous annealing experiments were carried out in the laboratory.The results show that its microstructure can be refined and homogenized by choosing a feasible annealing time,with a number of cake-shaped grains.The steel is solid-solution strengthened by adding solid-solution elements such as Si and Mn;fine Nb(C,N) forms in its microstructure by adding micro-alloy element Nb.The tensile strength of the steel is improved by fine-grain strengthening and precipitation strengthening due to a dispersive distribution of fine niobium carbonitride and the strengthen mechanisms are solid solution strengthening,fine-grain strengthening and precipitation strengthening.It is noted that the yield strength is low but the tensile strength is high since precipitated free zones exist on one side of grain boundaries.In contrast to a conventional IF steel,the steel has super fine grains and exhibits excellent formability such as low yield strength and high r-values.
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1 — Bio-inspired hardware holds the promise of low-energy, intelligent and highly adaptable computing systems. Applications span from automatic classification for big data management, through unmanned vehicle control, to control for bio-medical prosthesis. However, one of the major challenges of fabricating bio-inspired hardware is building ultra-high density networks out of complex processing units interlinked by tunable connections. Nanometer-scale devices exploiting spin electronics (or spintronics) can be a key technology in this context. In particular, magnetic tunnel junctions are well suited for this purpose because of their multiple tunable functionalities. One such functionality, non-volatile memory, can provide massive embedded memory in unconventional circuits, thus escaping the von-Neumann bottleneck arising when memory and processors are located separately. Other features of spintronic devices that could be beneficial for bio-inspired computing include tunable fast non-linear dynamics, controlled stochasticity, and the ability of single devices to change functions in different operating conditions. Large networks of interacting spintronic nano-devices can have their interactions tuned to induce complex dynamics such as synchronization, chaos, soliton diffusion, phase transitions, criticality, and convergence to multiple metastable states. A number of groups have recently proposed bio-inspired architectures that include one or several types of spintronic nanodevices. In this article we show how spintronics can be used for bio-inspired computing. We review the different approaches that have been proposed, the recent advances in this direction, and the challenges towards fully integrated spintronics-CMOS (Complementary metal – oxide – semiconductor) bio-inspired hardware.
HLA Class Ia and Ib Polyreactive Anti-HLA-E IgG2a Monoclonal Antibodies (TFL-006 and TFL-007) Suppress Anti-HLA IgG Production by CD19+ B Cells and Proliferation of CD4+ T Cells While Upregulating Tregs

The anti-HLA-E IgG2a mAbs, TFL-006 and TFL-007, reacted with all HLA-I antigens, similar to the therapeutic preparations of IVIg. Indeed, IVIg lost its HLA reactivity, when its HLA-E reactivity was adsorbed out. US-FDA approved IVIg to reduce antibodies in autoimmune diseases. But the mechanism underlying IVIg-mediated antibody reduction could not be ascertained due to the presence of other polyclonal antibodies. In spite of it, the cost prohibitive high or low IVIg is administered to patients waiting for donor organ and for allograft recipients for lowering antiallograft antibodies. A mAb that could mimic IVIg in lowering Abs, with defined mechanism of action, would be highly beneficial for patients. Demonstrably, the anti-HLA-E mAbs mimicked several functions of IVIg relevant to suppressing the antiallograft Abs. The mAbs suppressed activated T cells and anti-HLA antibody production by activated B cells, which were dose-wise superior to IVIg. The anti-HLA-E mAb expanded CD4+, CD25+, and Foxp3+ Tregs, which are known to suppress T and B cells involved in antibody production. These defined functions of the anti-HLA-E IgG2a mAbs at a level superior to IVIg encourage developing their humanized version to lower antibodies in allograft recipients, to promote graft survival, and to control autoimmune diseases.
A Laboratory Investigation of Temperature Profiles and Thermal Properties of Asphalt Pavements with Different Subsurface Layers

Hot mix asphalt (HMA) is one of the materials that make up several layers of most of our pavements. In these pavements, base courses are consisting of more and more different types of materials. Temperature significantly affects these pavement layer properties. Therefore, it is important to have a proper understanding of asphalt pavement with different subsurface layers' temperature profiles and thermal properties. Since all the layers are made up of heterogeneous mixtures of a wide variety of materials without readily available thermal properties, the problem is complicated. To determine temperature profiles along the depth, laboratory experiments were performed with pavement samples with different base course materials. Insulated pavement samples were heated using a 100 watt halogen lamp. Temperature data was recorded over successive periods of heating and cooling cycles through thermocouples placed at five different locations along the depth. Statistical methods based on measurable surface and temperatures were used in regression equation development for maximum subsurface temperature and base layer temperature prediction. For pavements with different base course materials, different coefficients of such equations were found. Finite element models were used to simulate experiments. Effective thermal conductivity and heat capacity of the materials in different samples' different layers were determined by using the predicted criterion and measured temperature matching at different depths.
Secure and Efficient Multi-Attribute Range Queries based on Comparable Inner Product Encoding

Encryption, a powerful tool for data security, has been widely applied to protect sensitive data stored on untrusted cloud servers. One important problem in such an environment is how to support advanced query predicates, such as range queries, over an encrypted data set in an efficient and secure way. Order-preserving encryption (OPE) produces ciphertexts that preserve the order of their plaintexts and performs range queries directly on ciphertexts. However, ideally secure OPE schemes are inefficient (interactive and stateful), because they either ask for extensive client-to-server interactions or require a large persistent client storage that relates to the size of the data set. In this paper, we propose a comparable inner product encoding (CIPE) scheme to support multi-attribute range queries over encrypted data. Our main idea is to encode data and query values as encrypted vectors so that order comparison is realized by calculating the vector's inner product. Compared with existing OPE schemes, our scheme has the following merits: 1) High $e$ ficiency. It allows a client to retrieve data of interest in one round without maintaining any local state. 2) Enhanced security. It achieves ideal security while effectively resisting inference attacks that existing OPE schemes are vulnerable to. Extensive experiments conducted on a real- world, large-scale data set verify the effectiveness of our scheme.
Suppression of Ghrelin Exacerbates HFCS-Induced Adiposity and Insulin Resistance

High fructose corn syrup (HFCS) is widely used as sweetener in processed foods and soft drinks in the United States, largely substituting sucrose (SUC). The orexigenic hormone ghrelin promotes obesity and insulin resistance; ghrelin responds differently to HFCS and SUC ingestion. Here we investigated the roles of ghrelin in HFCS- and SUC-induced adiposity and insulin resistance. To mimic soft drinks, 10-week-old male wild-type (WT) and ghrelin knockout (Ghrelin−/−) mice were subjected to ad lib. regular chow diet supplemented with either water (RD), 8% HFCS (HFCS), or 10% sucrose (SUC). We found that SUC-feeding induced more robust increases in body weight and body fat than HFCS-feeding. Comparing to SUC-fed mice, HFCS-fed mice showed lower body weight but higher circulating glucose and insulin levels. Interestingly, we also found that ghrelin deletion exacerbates HFCS-induced adiposity and inflammation in adipose tissues, as well as whole-body insulin resistance. Our findings suggest that HFCS and SUC have differential effects on lipid metabolism: while sucrose promotes obesogenesis, HFCS primarily enhances inflammation and insulin resistance, and ghrelin confers protective effects for these metabolic dysfunctions.
Linkage Analysis and QTL Mapping Using SNP Dosage Data in a Tetraploid Potato Mapping Population

New sequencing and genotyping technologies have enabled researchers to generate high density SNP genotype data for mapping populations. In polyploid species, SNP data usually contain a new type of information, the allele dosage, which is not used by current methodologies for linkage analysis and QTL mapping. Here we extend existing methodology to use dosage data on SNPs in an autotetraploid mapping population. The SNP dosages are inferred from allele intensity ratios using normal mixture models. The steps of the linkage analysis (testing for distorted segregation, clustering SNPs, calculation of recombination fractions and LOD scores, ordering of SNPs and inference of parental phase) are extended to use the dosage information. For QTL analysis, the probability of each possible offspring genotype is inferred at a grid of locations along the chromosome from the ordered parental genotypes and phases and the offspring dosages. A normal mixture model is then used to relate trait values to the offspring genotypes and to identify the most likely locations for QTLs. These methods are applied to analyse a tetraploid potato mapping population of parents and 190 offspring, genotyped using an Infinium 8300 Potato SNP Array. Linkage maps for each of the 12 chromosomes are constructed. The allele intensity ratios are mapped as quantitative traits to check that their position and phase agrees with that of the corresponding SNP. This analysis confirms most SNP positions, and eliminates some problem SNPs to give high-density maps for each chromosome, with between 74 and 152 SNPs mapped and between 100 and 300 further SNPs allocated to approximate bins. Low numbers of double reduction products were detected. Overall 3839 of the 5378 polymorphic SNPs can be assigned putative genetic locations. This methodology can be applied to construct high-density linkage maps in any autotetraploid species, and could also be extended to higher autopolyploids.
Frank-Wolfe with Subsampling Oracle

We analyze two novel randomized variants of the Frank-Wolfe (FW) or conditional gradient algorithm. While classical FW algorithms require solving a linear minimization problem over the domain at each iteration, the proposed method only requires to solve a linear minimization problem over a small \emph{subset} of the original domain. The first algorithm that we propose is a randomized variant of the original FW algorithm and achieves a $\mathcal{O}(1/t)$ sublinear convergence rate as in the deterministic counterpart. The second algorithm is a randomized variant of the Away-step FW algorithm, and again as its deterministic counterpart, reaches linear (i.e., exponential) convergence rate making it the first provably convergent randomized variant of Away-step FW. In both cases, while subsampling reduces the convergence rate by a constant factor, the linear minimization step can be a fraction of the cost of that of the deterministic versions, especially when the data is streamed. We illustrate computational gains of the algorithms on regression problems, involving both $\ell_1$ and latent group lasso penalties.
Time-Varying Arrival Rates of Informed and Uninformed Trades

We propose a dynamic econometric microstructure model of trading, and we investigate how the dynamics of trades and trade composition interact with the evolution of market liquidity, market depth, and order flow. We estimate a bivariate generalized autoregressive intensity process for the arrival rates of informed and uninformed trades for 16 actively traded stocks over 15 years of transaction data. Our results show that both informed and uninformed trades are highly persistent, but that the uninformed arrival forecasts respond negatively to past forecasts of the informed intensity. Our estimation generates daily conditional arrival rates of informed and uninformed trades, which we use to construct forecasts of the probability of information-based trade (PIN). These forecasts are used in turn to forecast market liquidity as measured by bid-ask spreads and the price impact of orders. We observe that PINs vary across assets and over time, and most importantly that they are correlated across assets. Our analysis shows that one principal component explains much of the daily variation in PINs and that this systemic liquidity factor may be important for asset pricing. We also find that PINs tend to rise before earnings announcement days and decline afterwards. Copyright The Author 2008. , Oxford University Press.
Neutrophils and acute lung injury

ObjectiveNeutrophils are an important component of the inflammatory response that characterizes acute lung injury (ALI). This discussion aims to review the contribution of neutrophils to the development and progression of ALI and to highlight the major intracellular signaling pathways that are involved in neutrophil activation in the setting of ALI. Data SourcesMEDLINE, original research papers, and review papers. Study SelectionRelevant laboratory and clinical studies. Data ExtractionSystemic review. Data SynthesisActivated neutrophils appear to play a central role in the development of most cases of ALI. In experimental models, the elimination of neutrophils markedly decreases the severity of ALI. Furthermore, in neutropenic patients with lung injury, deterioration of pulmonary function as neutropenia resolves has been well described. The neutrophils that accumulate in the lungs in models of ALI demonstrate increased activation of the kinases Akt and p38; increased nuclear accumulation of the transcriptional regulatory factor, nuclear factor-&kgr;B; and increased production of proinflammatory cytokines, particularly those whose transcription is dependent on nuclear factor-&kgr;B. Decreased apoptosis among neutrophils in the lungs is also characteristic. Inhibiting p38, Akt, or nuclear factor-&kgr;B activation diminishes the severity of endotoxin- or hemorrhage-induced ALI. ConclusionsThe accumulation of activated neutrophils in the lungs is an early step in the pulmonary inflammatory process that leads to ALI. Although experimental models indicate that the activation of p38, Akt, and nuclear factor-&kgr;B in neutrophils contributes to ALI, the relative importance of these pathways in critically ill patients remains to be determined. Nevertheless, modulation of the activation of p38, Akt, and nuclear factor-&kgr;B in neutrophils appears to be an appropriate therapeutic target in severely ill patients with ALI.
Design and implementation of a platform for the citizen science project migraine radar

Abstract In this paper we introduce the design and technical implementation of the citizen science project Migraine Radar. The goal of the project is to establish a large collection of migraine attack data in order to explore the trigger factors of migraine attacks. A main focus is the investigation of the influence of environmental factors like weather or changes in the geomagnetic activity on the frequency of migraine attacks. After registering with the project, participants report their migraine attack data using a web app or one of the smartphone apps implemented for Android and iOS. As a benefit, the system serves as a personal headache calendar and participants have access to statistics and individualized reports about their attacks. For scientific analysis the data are pre-processed and provided to the researchers in an anonymized way.
HSV-1 ICP27 induces apoptosis by promoting Bax translocation to mitochondria through interacting with 14-3-3θ

The subcellular localization of Bax plays a crucial role during apoptosis. In response to apoptotic stimuli, Bax translocates from the cytoplasm to the mitochondria, where it promotes the release of cytochrome c to the cytoplasm. In cells infected with HSV-1, apoptosis is triggered or blocked by diverse mechanisms. In this study, we demonstrate how HSV-1 ICP27 induces apoptosis and modulates mitochondrial membrane potential in HEK 293T cells. We found that ICP27 interacts with 14-3-3θ which sequesters Bax to the cytoplasm. In addition, ICP27 promotes the translocation of Bax to the mitochondria by inhibiting the interaction between 14-3-3θ and Bax. Our findings may provide a novel apoptotic regulatory pathway induced by ICP27 during HSV-1 infection.
Fear of falling: efficacy of virtual reality associated with serious games in elderly people

Objective Fear of falling is defined as an ongoing concern about falling that is not explained by physical examination. Focusing on the psychological dimension of this pathology (phobic reaction to walking), we looked at how virtual reality associated with serious games can be used to treat this pathology. Methods Participants with fear of falling were randomly assigned to either a treatment group or a waiting list. The therapy consisted of 12 weekly sessions of virtual reality exposure therapy associated with serious games. Results Sixteen participants were included. The mean age of the treatment group was 72 years and that of the control group was 69 years. Participants’ scores on the fear of falling measure improved after treatment with virtual reality associated with serious games, leading to a significant difference between the two groups. Conclusion Virtual reality exposure therapy associated with serious games can be used in the treatment of fear of falling. The two techniques are complementary (top-down and bottom-up processes). To our knowledge, this is the first time that a combination of the two has been assessed. There was a specific effect of this therapy on the phobic reaction. Further studies are needed to confirm its efficacy and identify its underlying mechanism.
Bleeding Scores for the Diagnosis of von Willebrand Disease

Abstract Obtaining a personal history of bleeding is a critical component to the diagnosis of von Willebrand disease (VWD). The collection of this information can be challenging for physicians, however, as the reporting and interpretation of bleeding symptoms is subjective. The need for more precise quantification of bleeding symptoms was recognized and the Vicenza Bleeding Questionnaire was developed in 2005. This questionnaire collects data regarding the presence and severity of bleeding symptoms and generates a bleeding score by summing the severity of all symptoms reported by a patient. Several subsequent bleeding assessment tools (BATs) have been developed based from this original questionnaire and there has been a surge in the use of BATs in various clinical settings for the diagnosis and evaluation of VWD. This review will discuss the evolution of BATs over the past decade, as well as their use and validation in various settings for the diagnosis and evaluation of VWD. Additionally, we will discuss the clinical utility of BATs, the limitations of these tools, and future directions.
The aspirin in reducing events in the elderly trial: Statistical analysis plan

Rationale Aspirin has positive and negative effects on a number of age-related chronic conditions and there is uncertainty regarding its role in primary prevention in people aged 70 years and over. Aims To assess whether daily active treatment of 100 mg enteric-coated aspirin will extend the duration of disability-free life in healthy older participants. Design A double-blind, randomized, placebo-controlled primary prevention trial undertaken in Australia and the United States with careful adjudication of endpoints including stroke. Study outcome In Australia 16,703 individuals were recruited through general practices across five states and territories, and in the United States, 2411 participants were recruited through 34 clinical sites across the country. Follow-up of participants will finish at the end of 2017 with average follow-up exceeding 4.25 years per person. Discussion The statistical analysis plan for ASPREE, finalized after closure of recruitment but before the end of patient follow-up, outlines the primary analyses and a range of subgroup and sensitivity analyses. (International Standard Randomized Controlled Trial Number Register ISRCTN83772183 and clinicaltrials.gov Number NCT01038583)