Miracle-dz/UniFAR-FTUs huggingface dataset:
Cerebral microbleeds predict infectious intracranial aneurysm in infective endocarditis

Magnetic resonance imaging (MRI) features such as cerebral microbleeds and sulcal susceptibility‐weighted imaging (SWI) or gradient‐echo T2* lesions in infective endocarditis (IE) have been associated with the presence of infectious intracranial aneurysm (IIA). Our aim was to validate these MRI predictors for IIA in order to better assist in assessing the appropriate indications for digital subtraction angiography (DSA).
The nanofiller effect on properties of experimental graphene dental nanocomposites

Abstract The purpose of the present study is to analyze the effect of the new nanofiller type graphene–gold nanoparticles on the surface structure and surface properties of some dental nanocomposites based on BisGMA/triethyleneglicol dimethacrylate matrix. Materials used in our study were three experimental nanocomposites, two of them based on graphene–gold nanoparticles as filler of different percent. As reference material, a commercial dental nanocomposite product named Herculite XRV Ultra was used. FTIR-ATR spectroscopy was used to determine the residual double bonds and the degree of conversion (DC) after 1 and 21 days of immersion in distilled water at 37 °C. The difference in DC between the experimental materials was statistically analyzed by one tail, paired Student’s t-Tests, using Graph Pod. Surface properties were evaluated through surface free energy using contact angle measurement while roughness and topography was assessed using Atomic Force Microscopy (AFM). To determine the amount of filler particles and thermal behavior of organic matrix, the nanocomposites were investigated by thermal analysis. According to the experimental results, the dental nanocomposites with highest percent in graphene–gold nanoparticles present a better value for the surface free energy. AFM investigations reveal differences in the term of roughness properties and suggest that in order to improve the surface properties is necessary to use a higher percent of graphene–gold nanoparticles as filler. The degradation process of major nanocomposites constituents is observed at temperatures between 240 and 620 °C. Entire results sustain this, but the future studies in order to evaluate the biological properties of the experimental nanocomposites will be made.
Circuit performance degradation on FPGAs considering NBTI and process variations

LSI scaling causes the reliability prob- lem. It is important to analyze the degradation of Negative Bias Temperature Instability(NBTI) in cir- cuit designs. Yield is affected by variations. In the near future, NBTI and variations will decrease relia- bility on FPGAs fabricated in a nanometer process. In this work, we show the effect of NBTI and vari- ations on 65nm FPGAs. According to our results, cicuit design margin can be reduced.
Privacy dictionary: A new resource for the automated content analysis of privacy

This article presents the privacy dictionary, a new linguistic resource for automated content analysis on privacy-related texts. To overcome the definitional challenges inherent in privacy research, the dictionary was informed by an inclusive set of relevant theoretical perspectives. Using methods from corpus linguistics, we constructed and validated eight dictionary categories on empirical material from a wide range of privacy-sensitive contexts. It was shown that the dictionary categories are able to measure unique linguistic patterns within privacy discussions. At a time when privacy considerations are increasing and online resources provide ever-growing quantities of textual data, the privacy dictionary can play a significant role not only for research in the social sciences but also in technology design and policymaking. © 2011 Wiley Periodicals, Inc.
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans

In magnetic resonance (MR), hardware limitations, scan time constraints, and patient movement often result in the acquisition of anisotropic 3-D MR images with limited spatial resolution in the out-of-plane views. Our goal is to construct an isotropic high-resolution (HR) 3-D MR image through upsampling and fusion of orthogonal anisotropic input scans. We propose a multiframe super-resolution (SR) reconstruction technique based on sparse representation of MR images. Our proposed algorithm exploits the correspondence between the HR slices and the low-resolution (LR) sections of the orthogonal input scans as well as the self-similarity of each input scan to train pairs of overcomplete dictionaries that are used in a sparse-land local model to upsample the input scans. The upsampled images are then combined using wavelet fusion and error backprojection to reconstruct an image. Features are learned from the data and no extra training set is needed. Qualitative and quantitative analyses were conducted to evaluate the proposed algorithm using simulated and clinical MR scans. Experimental results show that the proposed algorithm achieves promising results in terms of peak signal-to-noise ratio, structural similarity image index, intensity profiles, and visualization of small structures obscured in the LR imaging process due to partial volume effects. Our novel SR algorithm outperforms the nonlocal means (NLM) method using self-similarity, NLM method using self-similarity and image prior, self-training dictionary learning-based SR method, averaging of upsampled scans, and the wavelet fusion method. Our SR algorithm can reduce through-plane partial volume artifact by combining multiple orthogonal MR scans, and thus can potentially improve medical image analysis, research, and clinical diagnosis.
An Investigation into Android In-App Ad Practice: Implications for App Developers

In-app advertising has served as the major revenue source for millions of app developers in the mobile Internet ecosystem. Ad networks play an important role in app monetization by providing third-party libraries for developers to choose and embed into their apps. However, developers lack guidelines on how to choose from hundreds of ad networks and various ad features to maximize their revues without hurting the user experience of their apps. Our work aims to uncover the best practice and provide app developers guidelines on ad network selection and ad placement. To this end, we investigate 697 unique APIs from 164 ad networks which are extracted from 277,616 Android apps, develop a methodology of ad type classification based on UI interaction and behavior, and perform a large scale measurement study of in-app ads with static analysis techniques at the API granularity. We found that developers have more choices about ad networks than several years before. Most developers are conservative about ad placement and about 71% apps contain at most one ad library. In addition, the likeliness of an app containing ads depends on the app category to which it belongs. The app categories featuring young audience usually contain the most ad libraries maybe because of the ad-tolerance characteristic of young people. Furthermore, we propose a terminology and classify mobile ads into five ad types: Embedded, Popup, Notification, Offerwall, and Floating. We found that embedded and popup ad types are popular with apps in nearly all categories. Our results also suggest that developers should embed at most 6 ad libraries into an app, which otherwise would anger the app users. Also, a developer should use at most one ad network when her app is still at the initial stage and could start using more (2 or 3) ad networks when the app becomes popular. Our research is the first to reveal the preference of both developers and users for ad networks and ad types.
RBC-NOS-Dependent S-Nitrosylation of Cytoskeletal Proteins Improves RBC Deformability

Background Red blood cells (RBC) possess a nitric oxide synthase (RBC-NOS) whose activation depends on the PI3-kinase/Akt kinase pathway. RBC-NOS-produced NO exhibits important biological functions like maintaining RBC deformability. Until now, the cellular target structure for NO, to exert its influence on RBC deformability, remains unknown. In the present study we analyzed the modification of RBC-NOS activity by pharmacological treatments, the resulting influence on RBC deformability and provide first evidence for possible target proteins of RBC-NOS-produced NO in the RBC cytoskeletal scaffold. Methods/Findings Blood from fifteen male subjects was incubated with the NOS substrate L-arginine to directly stimulate enzyme activity. Direct inhibition of enzyme activity was induced by L-N5-(1-Iminoethyl)-ornithin (L-NIO). Indirect stimulation and inhibition of RBC-NOS were achieved by applying insulin and wortmannin, respectively, substances known to affect PI3-kinase/Akt kinase pathway. The NO donor sodium nitroprusside (SNP) and the NO scavenger 2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide (cPTIO) were additionally applied as NO positive and negative controls, respectively. Immunohistochemical staining was used to determine phosphorylation and thus activation of RBC-NOS. As a marker for NO synthesis nitrite was measured in plasma and RBCs using chemiluminescence detection. S-nitrosylation of erythrocyte proteins was determined by biotin switch assay and modified proteins were identified using LC-MS. RBC deformability was determined by ektacytometry. The data reveal that activated RBC-NOS leads to increased NO production, S-nitrosylation of RBC proteins and RBC deformability, whereas RBC-NOS inhibition resulted in contrary effects. Conclusion/Significance This study first-time provides strong evidence that RBC-NOS-produced NO modifies RBC deformability through direct S-nitrosylation of cytoskeleton proteins, most likely α- and β-spectrins. Our data, therefore, gain novel insights into biological functions of RBC-NOS by connecting impaired RBC deformability abilities to specific posttranslational modifications of RBC proteins. By identifying likely NO-target proteins in RBC, our results will stimulate new therapeutic approaches for patients with microvascular disorders.
Macrophage Targeted Theranostics as Personalized Nanomedicine Strategies for Inflammatory Diseases

Inflammatory disease management poses challenges due to the complexity of inflammation and inherent patient variability, thereby necessitating patient-specific therapeutic interventions. Theranostics, which integrate therapeutic and imaging functionalities, can be used for simultaneous imaging and treatment of inflammatory diseases. Theranostics could facilitate assessment of safety, toxicity and real-time therapeutic efficacy leading to personalized treatment strategies. Macrophages are an important cellular component of inflammatory diseases, participating in varied roles of disease exacerbation and resolution. The inherent phagocytic nature, abundance and disease homing properties of macrophages can be targeted for imaging and therapeutic purposes. This review discusses the utility of theranostics in macrophage ablation, phenotype modulation and inhibition of their inflammatory activity leading to resolution of inflammation in several diseases.
MicroRNA-323 regulates ischemia/reperfusion injury-induced neuronal cell death by targeting BRI3.

PURPOSE MicroRNA-323 (miR-323) has been reported to be upregulated in Ischemia/Reperfusion (I/R) injury-treated neuronal cell. However, the effect and underlying mechanism of miR-323 in I/R-induced neuronal cell death remains poorly understood. The current study was aim to investigate the role and molecular basis of miR-323 in I/R-induced neuronal cell. METHODS An oxygen-glucose deprivation (OGD) model of hippocampal neuron I/R was produced in vitro. Cell apoptosis, cell survival, and the expression of miR-323 were determined after 6 h, 12 h and 24 h after OGD treatment. The up- or down-regulation of miR-323 was performed by miR-323 mimics or anti-miR-323, respectively. RESULTS OGD induced apoptosis and suppressed survival in rat hippocampal neurons. And the expression levels of miR-323 were increased after OGD treatment. Furthermore, the up-regulation of miR-323 promoted apoptosis and suppressed survival, whereas the inhibition of miR-323 suppressed apoptosis and enhanced survival in OGD-treated neurons. Moreover, miR-323 could directly bind to BRI3 3'-UTR. Notably, the knockdown of BRI3 by BRI3 siRNA apparently abrogated cell survival and induced cell apoptosis in rat neurons. CONCLUSION This study indicated that miR-323 might regulate ischemia/reperfusion-induced rat neuronal cell death via targeting BRI3.
Neuroenhancement through cognitive training and anodal tDCS in multiple sclerosis

Background: Cognitive training has been shown to improve cognitive function and quality of life in multiple sclerosis (MS) patients and is correlated with increased activity in the left dorsolateral prefrontal cortex (DLPFC). Objective: This study aims to test whether combining attention training with anodal transcranial direct current stimulation (a-tDCS) over the left DLPFC can improve training efficacy. Methods: Twenty patients impaired in attention/speed of information processing were randomly assigned to cognitive training during a-tDCS over the left DLPFC or cognitive training during sham tDCS for 10 daily sessions. Neuropsychological evaluations were conducted at baseline, after treatment and six months later. Results: When a-tDCS, rather than sham, was applied during the cognitive training, patients showed a significantly greater improvement in the Symbol Digit Modality Test (SDMT) and Wisconsin Card Sorting Test (WCST) after treatment (p < 0.05) and in the Paced Auditory Serial Addition Test (PASAT) 2” and WCST six months later (p < 0.05). They also had significantly shorter time to reach the most difficult exercise level, compared to sham treatment (6.3 vs. 7.4 sessions; p < 0.05). Conclusions: These results indicate that a-tDCS on the DLPFC during cognitive training fosters improvements in attention and executive function in MS patients and shortens treatment duration.
The sociocultural health behavioral model and disparities in colorectal cancer screening among Chinese Americans.

OBJECTIVE The purpose of this study was to validate a Sociocultural Health Behavior Model using a structural equation analysis to determine the direction and magnitude of the interdependence of model components in relation to health behavior associated with colorectal cancer (CRC) screening among Chinese Americans. METHODS A cross-sectional design included a sample of 311 Chinese American men and women age 50 and older. The initial step involved use of confirmatory factor analysis which included the following variables: access/satisfaction with health care, enabling, predisposing, cultural, and health belief factors. Structural equation modeling analyses were conducted on factors for CRC screening. RESULTS Education and health insurance status were significantly related to CRC screening. Those with less than a high school education and without health insurance were more likely to be "never screened" for CRC than those having more education and health insurance. The path analysis findings also lend support for components of the Sociocultural Health Belief Model and indicated that there was a positive and significant relationship between CRC screening and the enabling factors, between cultural factors and predisposing, enabling, and access/satisfaction with health care factors and between enabling factors and access/satisfaction with health care. CONCLUSIONS The model highlights the significance that sociocultural factors play in relation to CRC screening and reinforced the need to assist Chinese with poor English proficiency in translation and awareness of the importance of CRC screening. The use of community organizations may play a role in assisting Chinese to enhance colorectal cancer screening rates.
The First Mitochondrial Genomics and Evolution SMBE-Satellite Meeting: A New Scientific Symbiosis

Abstract The central role of the mitochondrion for cellular and organismal metabolism is well known, yet its functional role in evolution has rarely been featured in leading international conferences. Moreover, the contribution of mitochondrial genetics to complex disease phenotypes is particularly important, and although major advances have been made in the field of genomics, mitochondrial genomic data have in many cases been overlooked. Accumulating data and new knowledge support a major contribution of this maternally inherited genome, and its interactions with the nucleus, to both major evolutionary processes and diverse disease phenotypes. These advances encouraged us to assemble the first Mitochondrial Genomics and Evolution (MGE) meeting—an SMBE satellite and Israeli Science foundation international conference (Israel, September 2017). Here, we report the content and outcome of the MGE meeting (https://www.mge2017.com/; last accessed November 5, 2017).
Electromagnetic assisted endoscopic submucosal dissection is more efficient than water-jet assisted and conventional ESD in experimental model

Abstract Background and study aims The adequate visualization of the dissection line, inside the submucosal layer, supposes the main challenging issue in ESD. For this reason, several counter traction methods have been developed focused on overcoming this handicap. One of which, Magnetic anchor guided – ESD (MG-ESD) is an attractive alternative. However, the usefulness of this approach has been scarcely assessed and compared with other ESD strategies. Therefore, the aim of this study is to compare three different ESD alternatives in experimental faction. Methods This was a prospective non-randomized study, in which three different ESD techniques were performed in an ex-vivo gastric porcine model by an endoscopist slight expertise in ESD: conventional ESD, waterjet assisted ESD and MG-ESD. MG-ESD was performed using two different magnets: inner Neodymiun ringed shape magnet attached to the simulated lesions by an endoclip and external electromagnet connected to a Single Output Adjustable 24V/0.3A Power Supply Unit. Results Forty-six ESD procedures were performed: 24 conventional ESD, 12 waterjet-assisted ESD and 10 MG-ESD. Average size of the simulated lesions was 33.86 mm. No differences in terms of safety and efficacy were registered between the three approaches. Nevertheless, MG-ESD proved to be faster and more efficient than conventional ESD and water-jet assisted ESD (min per cm2 10.85 vs. 7.43 vs. 3,41; P = 0.001). Conclusions MG-ESD could be a feasible alternative to conventional ESD even at the beginning of the learning curve. Therefore, researches focused on developing appropriate ESD magnetic devices and further comparative studies must be promoted, in order to assess the reliable usefulness of the magnet-assistance in ESD.
Soy inclusion in the diet improves features of the metabolic syndrome: a randomized crossover study in postmenopausal women.

BACKGROUND Little evidence exists regarding the effects of soy consumption on the metabolic syndrome in humans. OBJECTIVE We aimed to determine the effects of soy consumption on components of the metabolic syndrome, plasma lipids, lipoproteins, insulin resistance, and glycemic control in postmenopausal women with the metabolic syndrome. DESIGN This randomized crossover clinical trial was undertaken in 42 postmenopausal women with the metabolic syndrome. Participants were randomly assigned to consume a control diet (Dietary Approaches to Stop Hypertension, DASH), a soy-protein diet, or a soy-nut diet, each for 8 wk. Red meat in the DASH period was replaced by soy-protein in the soy-protein period and by soy-nut in the soy-nut period. RESULTS The soy-nut regimen decreased the homeostasis model of assessment-insulin resistance score significantly compared with the soy-protein (difference in percentage change: -7.4 +/- 0.8; P < 0.01) or control (-12.9 +/- 0.9; P < 0.01) diets. Consumption of soy-nut also reduced fasting plasma glucose more significantly than did the soy-protein (-5.3 +/- 0.5%; P < 0.01) or control (-5.1 +/- 0.6%; P < 0.01) diet. The soy-nut regimen decreased LDL cholesterol more than did the soy-protein period (-5.0 +/- 0.6%; P < 0.01) and the control (-9.5 +/- 0.6%; P < 0.01) diet. Soy-nut consumption significantly reduced serum C-peptide concentrations compared with control diet (-8.0 +/- 2.1; P < 0.01), but consumption of soy-protein did not. CONCLUSION Short-term soy-nut consumption improved glycemic control and lipid profiles in postmenopausal women with the metabolic syndrome.
A novel biosensor with high signal‐to‐noise ratio for real‐time measurement of dopamine levels in vivo

Fast‐scan cyclic voltammetry (FSCV) is an established method for measuring dopamine (DA) levels in the brain in real time. However, it is difficult to discriminate DA from other monoamines such as serotonin (5‐hydroxytryptamine, 5‐HT) and norepinephrine (NE). We report a novel DA‐specific biosensor consisting of a carbon‐fiber electrode coated with an ion‐exchange membrane, a layer containing monoamine oxidase B, and a cellulose membrane. We performed FSCV using the probe to monitor the amount of DA in vitro and in vivo. First, we measured currents in vitro in phosphate‐buffered saline as we added one micromole each of DA, 5‐HT, and NE. The results confirmed that the biosensor selectively detected DA. Next, we implanted the probe in the striatum of male rats to investigate whether it could selectively detect changes in the DA content in vivo. The probe detected both the tonic change induced by methamphetamine administration and the phasic change induced by electrical stimulation of the medial forebrain bundle. In contrast, the electrode in the 6‐hydroxydopamine–lesioned striatum did not respond to systemic selective serotonin or serotonin/norepinephrine reuptake inhibitors, confirming its selectivity. Furthermore, the probe in the striatum could still detect changes in the DA level 1 week after electrode implantation. The results suggest that the novel biosensor can measure real‐time changes in DA levels in vivo with a relatively high signal‐to‐noise ratio.
Glycemic index and glycemic load in relation to food and nutrient intake and metabolic risk factors in a Dutch population.

BACKGROUND Previous studies on the glycemic index (GI) and glycemic load (GL) reported inconsistent findings on their association with metabolic risk factors. This may partly have been due to differences in underlying dietary patterns. OBJECTIVE We aimed to examine the association of GI and GL with food and nutrient intake and with metabolic risk factors including blood glucose, insulin, lipids, and high-sensitivity C-reactive protein (CRP). DESIGN The study entailed cross-sectional analyses of data from 2 joint observational studies, the CoDAM Study and the Hoorn Study. RESULTS In total, 974 subjects aged 42-87 y were included in the study. The mean (+/-SD) GI was 57 +/- 4 and the mean GL was 130 +/- 39. Dairy products, potatoes and other tubers, cereal products, and fruit were the main predictive food groups for GI. GL was closely correlated with intake of total carbohydrates (r(s) = 0.97), which explained >95% of the variation in GL. After adjustment for potential confounders, GI was significantly inversely associated with HDL cholesterol and positively associated with fasting insulin, the homeostasis model assessment index of insulin resistance, the ratio of total to HDL cholesterol, and CRP. No association was observed between GL and any of the metabolic risk factors, except for a borderline significant positive association with CRP. CONCLUSIONS In this population, a low-GI diet, which is high in dairy and fruit but low in potatoes and cereals, is associated with improved insulin sensitivity and lipid metabolism and reduced chronic inflammation. GL is highly correlated with carbohydrate intake and is not clearly associated with the investigated metabolic risk factors.