Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical Thrombectomy Is Now the Gold Standard for Acute Ischemic Stroke: Implications for Routine Clinical Practice

Background: This review aims to summarize the findings of the recently published randomized controlled studies which provide overwhelming evidence in support of mechanical thrombectomy for acute ischemic stroke with large artery occlusion. The five studies, Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN), Endovascular Revascularization with Solitaire Device versus Best Medical Therapy in Anterior Circulation Stroke within 8 h (REVASCAT), Endovascular Treatment for Small Core and Proximal Occlusion Ischemic Stroke (ESCAPE), Solitaire™ FR as Primary Treatment for Acute Ischemic Stroke (SWIFT PRIME) and Extending the Time for Thrombolysis in Emergency Neurological Deficits with Intra-Arterial Therapy (EXTEND IA) have demonstrated the critical role of selecting patients by advanced neuroimaging, the superior recanalization capacity of stent retrievers and the effects of minimization of work processes delay. Summary: This review outlines lessons gained from the 5 positive studies which assessed mechanical thrombectomy as part of endovascular therapy for patients with proximal artery occlusion in the internal carotid and middle cerebral arteries. It discusses the role of age and stroke severity on treatment while also comparing the unique trial designs and selection criteria used amongst the 5 studies. In addition to examining the importance of unique imaging parameters such as collateral circulation, mismatch ratio and ischemic core volume, the review outlines differences in workflow parameters within the context of outcome. Finally the benefit of neuroimaging to broaden treatment eligibility and the issues associated with general anesthesia will be discussed in this review. Key Messages: Questions remain over the applicability of mechanical thrombectomy to stroke subgroups including wake-up strokes and basilar artery thrombosis. The role of imaging is integral to this process and can lead to broadening eligibility criteria in the future. Workflow practices have been streamlined in the 5 positive randomized controlled studies, but guidelines will need to be revised accordingly if similar patient outcomes are to be replicated in a wider population.
VideoKen: Automatic Video Summarization and Course Curation to Support Learning

The number of high quality online videos is increasing rapidly. Online courses as well as universities do not fully leverage the content due to several open challenges in video search, indexing, summarization and customization requirements for specific courses, instructors or learners. We present a new web-based social learning platform called Videoken. Using novel video summarization algorithms, Videoken automatically creates Table of Contents for videos. This allows a textbook-like facility for non-linear search and navigation through the video, enables extraction of semantically coherent clips from within a video and improves video search through better semantic indexing. The platform also allows new ways of course creation and sharing of learning modules; and can be both integrated with existing Learning Management Systems and used independently.
RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows

Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows but requires long periods of observation to reduce errors. Watermarking techniques allow for better precision and blind detection, but they do so by introducing significant delays to the traffic flow, enabling attacks that detect and remove the mark, while at the same time slowing down legitimate traffic. We propose a new, non-blind watermarking scheme called RAINBOW that is able to use delays hundreds of times smaller than existing watermarks by eliminating the interference caused by the flow in the blind case. As a result, our watermark is invisible to detection, as confirmed by experiments using information-theoretic detection tools. We analyze the error rates of our scheme based on a mathematical model of network traffic and jitter. We also validate the analysis using an implementation running on PlanetLab. We find that our scheme generates orders of magnitudes lower rates of false errors than passive traffic analysis, while using only a few hundred observed packets. We also extend our scheme so that it is robust to packet drops and repacketization and show that flows can still be reliably linked, though at the cost of somewhat longer observation periods.
Trophic transfer of trace metals: subcellular compartmentalization in a polychaete and assimilation by a decapod crustacean

The chemical form of accumulated trace metal in prey is important in controlling the bioavailability of dietary metal to a predator. This study investigated the trophic transfer of radio- labelled Ag, Cd and Zn from the polychaete worm Nereis diversicolor to the decapod crustacean Palaemonetes varians. We used 2 populations of worms with different proportions of accumulated metals in different subcellular fractions as prey, and loaded the worms with radiolabelled metals either from sediment or from solution. Accumulated radiolabelled metals were fractionated into 5 components:metal-rich granules (MRG), cellular debris, organelles, metallothionein-like proteins (MTLP), and other (heat-sensitive) proteins (HSP). Assimilation efficiencies (AE) of the metals by P. varians were measured from the 4 categories of prey (i.e. 2 populations, radiolabelled from sediment or solution). There were significant differences for each metal between the AEs from the different prey categories, confirming that origin of prey and route of uptake of accumulated trace metal will cause intraspecific differences in subsequent metal assimilation. Correlations were sought between AEs and selected fractions or combinations of fractions of metals in the prey-MRG, Trophically Avail- able Metal (TAM = MTLP + HSP + organelles) and total protein (MTLP + HSP). TAM explained 28% of the variance in AEs for Ag, but no consistent relationships emerged between AEs and TAM or total protein when the metals were considered separately. AEs did, however, show significant positive regressions with both TAM and total protein when the 3 metals were considered together, explain- ing only about 21% of the variance in each case. A significant negative relationship was observed between MRG and AE for all metals combined. The predator (P. varians) can assimilate dietary metal from a range of the fractions binding metals in the prey (N. diversicolor), with different assimilation efficiencies summated across these fractions. TAM and/or total protein may represent an approxi- mate minimum for trophic availability but neither of these alone is a fully accurate predictor.
A2A receptors in inflammation and injury: lessons learned from transgenic animals

Adenosine regulates the function of the innate and adaptive immune systems through targeting virtually every cell type that is involved in orchestrating an immune/inflammatory response. Of the four adenosine receptors (A1, A2A, A2B, A3), A2A receptors have taken center stage as the primary anti‐inflammatory effectors of extracellular adenosine. This broad, anti‐inflammatory effect of A2A receptor activation is a result of the predominant expression of A2A receptors on monocytes/macrophages, dendritic cells, mast cells, neutrophils, endothelial cells, eosinophils, epithelial cells, as well as lymphocytes, NK cells, and NKT cells. A2A receptor activation inhibits early and late events occurring during an immune response, which include antigen presentation, costimulation, immune cell trafficking, immune cell proliferation, proinflammatory cytokine production, and cytotoxicity. In addition to limiting inflammation, A2A receptors participate in tissue remodeling and reparation. Consistent with their multifaceted, immunoregulatory action on immune cells, A2A receptors have been shown to impact the course of a wide spectrum of ischemic, autoimmune, infectious, and allergic diseases. Here, we review the regulatory roles of A2A receptors in immune/inflammatory diseases of various organs, including heart, lung, gut, liver, kidney, joints, and brain, as well as the role of A2A receptors in regulating multiple organ failure and sepsis.
Creatine Transporter Deficiency: Screening of Males with Neurodevelopmental Disorders and Neurocognitive Characterization of a Case

Objective: Creatine transporter deficiency (CTD) is an X-linked, neurometabolic disorder associated with intellectual disability that is characterized by brain creatine (Cr) deficiency and caused by mutations in SLC6A8, the Cr transporter 1 protein gene. CTD is identified by elevated urine creatine/creatinine (Cr/Crn) ratio or reduced Cr peak on brain magnetic resonance spectroscopy; the diagnosis is confirmed by decreased Cr uptake in cultured fibroblasts, and/or identification of a mutation in the SLC6A8 gene. Prevalence studies suggest this disorder may be underdiagnosed. We sought to identify cases from a well-characterized cohort of children diagnosed with neurodevelopmental disorders. Method: Urine screening for CTD was performed on a cohort of 46 males with autism spectrum disorder (ASD) and 9 males with a history of non-ASD developmental delay (DD) classified with intellectual disability. Results: We identified 1 patient with CTD in the cohort based on abnormal urine Cr/Crn, and confirmed the diagnosis by the identification of a novel frameshift mutation in the SLC6A8 gene. This patient presented without ASD but with intellectual disability, and was characterized by a nonspecific phenotype of early language delay and DD that persisted into moderate-to-severe intellectual disability, consistent with previous descriptions of CTD. Conclusion: Identification of patients with CTD is possible by measuring urine Cr and Crn levels and the current case adds to the growing literature of neurocognitive deficits associated with the disorder that affect cognition, language and behavior in childhood.
The association between metabolic health, obesity phenotype and the risk of breast cancer

Beyond the current emphasis on body mass index (BMI), it is unknown whether breast cancer risk differs between metabolically healthy and unhealthy normal weight or overweight/obese women. The Sister Study is a nationwide prospective cohort study. Data came from 50,884 cohort participants aged 35 to 74 years enrolled from 2003 through 2009. Cox proportional hazards models were used to estimate multivariable adjusted hazard ratios (HR) and 95% confidence intervals (CIs) for breast cancer risk. Metabolic abnormalities considered included: high waist circumference (≥88 cm); elevated blood pressure (≥130/85 mm Hg or antihypertensive medication); previously diagnosed diabetes or antidiabetic drug treatment; and cholesterol‐lowering medication use. During follow‐up (mean, 6.4 years), 1,388 invasive breast cancers were diagnosed at least 1 year after enrollment. Compared to women with BMI <25 kg/m2 with no metabolic abnormalities (metabolically healthy normal weight phenotype), women with a BMI <25 kg/m2 and ≥1 metabolic abnormality (metabolically unhealthy, normal weight phenotype) had increased risk of postmenopausal breast cancer (HR = 1.26, 95% CI: 1.01–1.56), as did women with a BMI ≥25 kg/m2 and no metabolic abnormalities (metabolically healthy overweight/obese phenotype) (HR = 1.24, 95% CI: 0.99–1.55). Furthermore, risk of postmenopausal breast cancer was consistently elevated in women with normal BMI and central obesity (normal weight central obesity phenotype) regardless of the criterion used to define central obesity, with HR for waist circumference ≥88 cm, waist circumference ≥80 cm, and waist‐hip ratio ≥0.85 of 1.58, 95% CI: 1.02–2.46; 1.38, 95% CI: 1.09–1.75; and 1.38, 95% CI: 1.02–1.85, respectively. There was an inverse association between premenopausal breast cancer and metabolically healthy overweight/obese phenotype (HR = 0.71, 95% CI: 0.52–0.97). Our findings suggest that postmenopausal women who are metabolically unhealthy or have central adiposity may be at increased risk for breast cancer despite normal BMI.
Moral Framing

Note for APW readers: These are my first steps down what I imagine to be a long road (and hopefully there will be something at the end of it). At this early stage, I would most appreciate feedback on the setup of the method. Do you buy my measure of moral framing? How might you do it differently? With respect to the results, are there interesting comparisons that you think I am missing? Do you have other ideas for how to interpret the findings – especially those dealing with any patterns you might be able to pick out of the results broken out by issue? Thanks!
Formation studies and controlled production of carbon nanohorns using continuous in situ characterization techniques

The formation of carbon nanohorns by laser ablation was investigated using a scanning differential mobility analyzer combined with an ultrafine condensation particle counter. The measurement technique provided time-resolved size distributions for the carbon nanoparticles every minute during the course of the production run. The instrument performance was reasonably stable most of the time; however, during laser ablation, shockwave oscillations leading to significant transient flow and pressure variations were shown to disrupt the DMAs ability to measure accurate distributions. On the basis of the general trend observed in the data taken during the laser-ablation experiments, we found that the geometric mean diameter of the produced population shifted to larger particle sizes with increases in pulse width. For a given laser peak power and repetition rate, carbon nanoparticles of mobility diameter close to 100 nm were produced in a large abundance using longer laser pulse lengths (e.g., 10 ms) as compared to the shorter pulse lengths (e.g., 1 ms). A quantitative assessment of the particle size dispersion (using statistics like the geometric standard deviation) in relation to the laser pulse width could not be done with certainty as the shockwave disturbances produced by the laser-ablation process caused significant disruption to SMPS measurements. When laser ablation was not in operation, it was found that carbon nanoparticles with mobility diameters centred at about 20 nm could be produced by thermally desorbing the previously deposited carbon nanoparticles from the reactor wall at temperatures greater than 1300 K.
A buyer's guide to electromagnetic tracking systems for clinical applications

When choosing an Electromagnetic Tracking System (EMTS) for image-guided procedures, it is desirable for the system to be usable for different procedures and environments. Several factors influence this choice. To date, the only factors that have been studied extensively, are the accuracy and the susceptibility of electromagnetic tracking systems to distortions caused by ferromagnetic materials. In this paper we provide a holistic overview of the factors that should be taken into account when choosing an EMTS. These factors include: the system's refresh rate, the number of sensors that need to be tracked, the size of the navigated region, system interaction with the environment, can the sensors be embedded into the tools and provide the desired transformation data, and tracking accuracy and robustness. We evaluate the Aurora EMTS (Northern Digital Inc., Waterloo, Ontario, Canada) and the 3D Guidance EMTS with the flat-panel and the short-range field generators (Ascension Technology Corp., Burlington, Vermont, USA) in three clinical environments. We show that these systems are applicable to specific procedures or in specific environments, but that, no single system is currently optimal for all environments and procedures we evaluated.
A comparison of cognitive functioning in medicated and unmedicated subjects with bipolar depression.

OBJECTIVE Neuropsychological studies of bipolar disorder reveal deficits in a variety of domains, including affective processing, memory, and sustained attention. These findings are difficult to interpret due to the potential confounding effects of mood-stabilizing medications. The present study aims to compare the cognitive performance of medicated and unmedicated subjects with bipolar depression to healthy control subjects. METHOD Unmedicated subjects with bipolar depression (UBD, n = 32), subjects with bipolar depression on therapeutic doses of lithium or valproic acid (MBD, n = 33), and healthy control subjects (HC, n = 52) performed neuropsychological tasks measuring affective processing, visual memory, and sustained attention. Performance measures were covaried with age and mood ratings, where applicable. RESULTS With regard to affective processing, the MBD group exhibited greater response latency than the UBD and HC groups. For the same task, the MBD group made more omission errors during the happy condition than in the sad condition. On a task of sustained attention, the MBD group made more errors than the HC group. There were no significant group differences on measures of visual memory. CONCLUSIONS Deficits in affective processing were found in the medicated group, while unmedicated subjects appear to be unaffected. In particular, the MBD group made more errors during happy conditions, indicating a potential attentional bias in subjects with bipolar depression on mood-stabilizing medications. The present study also implicates impairment in sustained attention for medicated subjects with bipolar disorder, particularly those with the type II variety.
Deep Adaptive Networks for Visual Data Classification

This paper proposes a classifier called deep adaptive networks (DAN) based on deep belief networks (DBN) for visual data classification. First, we construct a directed deep belief nets by using a set of Restricted Boltzmann Machines (RBM) and a Gaussian RBM via greedy and layerwise unsupervised learning. Then, we refine the parameter space of the deep architecture to adapt the classification requirement by using global gradient-descent based supervised learning. An exponential loss function is utilized to maximize the separability of different classes. Moreover, we apply DAN to visual data classification task and observe an important fact that the learning ability of deep architecture is seriously underrated in real-world applications, especially when there are not enough labeled data. Experiments conducted on standard datasets of different types and different scales demonstrate that the proposed classifier outperforms the representative classification techniques and deep learning methods.
Neuroinflammation in epileptogenesis: Insights and translational perspectives from new models of epilepsy

Animal models have provided a wealth of information on mechanisms of epileptogenesis and comorbidogenesis, and have significantly advanced our ability to investigate the potential of new therapies. Processes implicating brain inflammation have been increasingly observed in epilepsy research. Herein we discuss the progress on animal models of epilepsy and comorbidities that inform us on the potential role of inflammation in epileptogenesis and comorbidity pathogenesis in rodent models of West syndrome and the Theiler's murine encephalomyelitis virus (TMEV) mouse model of viral encephalitis–induced epilepsy. Rat models of infantile spasms were generated in rat pups after right intracerebral injections of proinflammatory compounds (lipopolysaccharides with or without doxorubicin, or cytokines) and were longitudinally monitored for epileptic spasms and neurodevelopmental and cognitive deficits. Anti‐inflammatory treatments were tested after the onset of spasms. The TMEV mouse model was induced with intracerebral administration of TMEV and prospective monitoring for handling‐induced seizures or seizure susceptibility, as well as long‐term evaluations of behavioral comorbidities of epilepsy. Inflammatory processes are evident in both models and are implicated in the pathogenesis of the observed seizures and comorbidities. A common feature of these models, based on the data so far available, is their pharmacoresistant profile. The presented data support the role of inflammatory pathways in epileptogenesis and comorbidities in two distinct epilepsy models. Pharmacoresistance is a common feature of both inflammation‐based models. Utilization of these models may facilitate the identification of age‐specific, syndrome‐ or etiology‐specific therapies for the epilepsies and attendant comorbidities, including the drug‐resistant forms.
Identification of novel markers for liver fibrosis in HIV/hepatitis C virus coinfected individuals using genomics-based approach

Objective:The degree of liver fibrosis is a determinant for initiation of therapy for hepatitis C virus. Liver biopsy is invasive, risky and costly, but is required to assess fibrosis. This study intended to identify novel noninvasive markers to accurately assess fibrosis in HIV/hepatitis C virus coinfection. Methods:Using 100 biopsies from 68 HIV/hepatitis C virus coinfected patients, we developed a predictive model consisting of six serum markers along with age and antiretroviral therapy experience. DNA microarray analysis of peripheral blood mononuclear cells associated with a subset of 51 biopsies obtained from 28 patients was performed and incorporated into a second model. Results:The eight-marker model yielded an area under the receiver operating characteristic curve of 0.904. Combined analysis of clinical and DNA microarray data in the 51-biopsy subset identified two genes (alanine amino peptidase-N and mitogen-activated protein kinase kinase-3) that predicted fibrosis with high significance. The four-marker model that included the two genes and two serum markers had an area under the receiver operating characteristic curve of 0.852, which did not differ significantly from the eight-marker model on this subset (area under the receiver operating characteristic curve = 0.856, P = 0.96). Conclusion:Both models accurately predicted fibrosis with an accuracy of 87.9%, thereby sparing 83% of patients from obtaining a biopsy. DNA microarray analysis can be invaluable in identifying novel biomarkers of liver fibrosis.
Perceptions of boundary ambiguity and parentification effects on family satisfaction, family support, and perceived stress in young adults of divorced families

Using a sample of 109 students at a Midwestern university with divorced or separated parents I explored a) how sibling order and young adults’ age at parental divorce or separation impacted their experience of boundary ambiguity, parentification, stress, and family satisfaction and support, b) whether parentification mediated the effects of boundary ambiguity on stress, family support and family satisfaction, and c) whether sibling order moderated the relationship between these variables. I found that the child’s age at parental divorce/separation was positively correlated with boundary ambiguity, and negatively correlated with parentification, stress, family satisfaction, and social support. First or only children reported higher rates of parentification, specifically taking on a spousal role with their parents than younger siblings. Further, in divorced/separated families boundary ambiguity was positively related to young adults’ stress and negatively related to their levels of family satisfaction and family support both directly and indirectly through parentification. However, sibling order was not found to moderate the relationships between boundary ambiguity, parentification, family support, family satisfaction, and stress. Implications for theory and intervention are discussed.