Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Labeling of Fucosylated Glycans in Developing Zebrafish

Many developmental processes depend on proper fucosylation, but this post-translational modification is difficult to monitor in vivo. Here we applied a chemical reporter strategy to visualize fucosylated glycans in developing zebrafish. Using azide-derivatized analogues of fucose, we metabolically labeled cell-surface glycans and then detected the incorporated azides via copper-free click chemistry with a difluorinated cyclooctyne probe. We found that the fucose salvage pathway enzymes are expressed during zebrafish embryogenesis but that they process the azide-modified substrates inefficiently. We were able to bypass the salvage pathway by using an azide-functionalized analogue of GDP-fucose. This nucleotide sugar was readily accepted by fucosyltransferases and provided robust cell-surface labeling of fucosylated glycans, as determined by flow cytometry and confocal microscopy analysis. We used this technique to image fucosylated glycans in the enveloping layer of zebrafish embryos during the first 5 days of development. This work provides a method to study the biosynthesis of fucosylated glycans in vivo.
Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?

Background User content posted through Twitter has been used for biosurveillance, to characterize public perception of health-related topics, and as a means of distributing information to the general public. Most of the existing work surrounding Twitter and health care has shown Twitter to be an effective medium for these problems but more could be done to provide finer and more efficient access to all pertinent data. Given the diversity of user-generated content, small samples or summary presentations of the data arguably omit a large part of the virtual discussion taking place in the Twittersphere. Still, managing, processing, and querying large amounts of Twitter data is not a trivial task. This work describes tools and techniques capable of handling larger sets of Twitter data and demonstrates their use with the issue of antibiotics. Objective This work has two principle objectives: (1) to provide an open-source means to efficiently explore all collected tweets and query health-related topics on Twitter, specifically, questions such as what users are saying and how messages are spread, and (2) to characterize the larger discourse taking place on Twitter with respect to antibiotics. Methods Open-source software suites Hadoop, Flume, and Hive were used to collect and query a large number of Twitter posts. To classify tweets by topic, a deep network classifier was trained using a limited number of manually classified tweets. The particular machine learning approach used also allowed the use of a large number of unclassified tweets to increase performance. Results Query-based analysis of the collected tweets revealed that a large number of users contributed to the online discussion and that a frequent topic mentioned was resistance. A number of prominent events related to antibiotics led to a number of spikes in activity but these were short in duration. The category-based classifier developed was able to correctly classify 70% of manually labeled tweets (using a 10-fold cross validation procedure and 9 classes). The classifier also performed well when evaluated on a per category basis. Conclusions Using existing tools such as Hive, Flume, Hadoop, and machine learning techniques, it is possible to construct tools and workflows to collect and query large amounts of Twitter data to characterize the larger discussion taking place on Twitter with respect to a particular health-related topic. Furthermore, using newer machine learning techniques and a limited number of manually labeled tweets, an entire body of collected tweets can be classified to indicate what topics are driving the virtual, online discussion. The resulting classifier can also be used to efficiently explore collected tweets by category and search for messages of interest or exemplary content.
Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine

The supervised learning in bioinformatics is a major tool to diagnose a disease, to identify the best therapeutic strategy or to establish a prognostic. The main objective in classifier construction is to maximize the accuracy in order to obtain a reliable prediction system. However, a second objective is to minimize the cost of the use of the classifier on new patients. Despite the control of the classification cost is high important in the medical domain, it has been very little studied. We point out that some patients are easy to predict, only a small subset of medical variables are needed to obtain a reliable prediction. The prediction of these patients can be cheaper than the others patient. Based on this idea, we propose a cascade approach that decreases the classification cost of the basic classifiers without dropping their accuracy. Our cascade system is a sequence of classifiers with rejects option of increasing cost. At each stage, a classifier receives all patients rejected by the last classifier, makes a prediction of the patient and rejects to the next classifier the patients with low confidence prediction. The performances of our methods are evaluated on four real medical problems.
A sampling algorithm for digitally controlled boost PFC converters

Digital control of a boost power factor correction (PFC) converter requires sampling of the input current. As the input current contains a considerable amount of switching ripple and high frequency switching noise, the choice of the sampling instant is very important. To avoid aliasing without employing a (very) high sampling frequency, the sampling is synchronized with the pulse width modulation (PWM). Sampling algorithms employing this technique successfully reject the input current ripple but are not immune to the high frequency switching noise present on all sampled signals. Therefore, a new sampling algorithm, called alternating-edge-sampling and intended for center-based or symmetric PWM, is deduced with as most important features: switching noise immunity, straightforwardness, accurate measurement of the averaged input current and the need for only few processor cycles. The operating principle, design issues and a theoretical study of the input current error induced by the sampling algorithm due to sampling instant timing errors are derived. All theoretical results are validated experimentally for a digitally controlled boost PFC converter switching at 50 kHz.
Relationship between temperature, respiratory loss of sugar and premature dehardening in dormant Scots pine seedlings

Increased intracellular sugar concentration is an important contributor to the increased cold tolerance of conifers in winter. This study examines the extent to which wintertime respiratory loss of sugars leads to premature dehardening. Two-year-old seedlings of Scots pine (Pinus sylvestris L.), grown and cold-hardened in the field, were exposed to different temperature regimes for 16 weeks while dormant. To minimize short-term carry-over effects, after the temperature treatments, all seedlings were conditioned to 5.5 degrees C and watered before the assessment of non-structural carbohydrates and cold tolerance. Needle sugar concentration was decreased by 54, 32, 21 and 9% following treatment at 5.5, 0, -1.5 and -8.5 degrees C, respectively. Sugar concentration did not decrease as much in root tissues as in needles because starch was mobilized in roots. Cold tolerance of needles was analyzed by controlled freezing, and the temperature causing an initial 10% damage (LT(10)) was plotted as a function of needle sugar concentration, revealing a strong, linear relationship. When one-third of the initial sugars had been consumed, LT(10) had increased from -24.5 to -16.5 degrees C, and when one half had been consumed, LT(10) had increased to -10 degrees C. Consequences of these findings for the field performance of conifers are discussed in relation to climatic variation and change.
An Achievable Throughput Scaling Law of Wireless Device-to-Device Caching Networks With Distributed MIMO and Hierarchical Cooperations

In this paper, we propose a new caching scheme for a random wireless device-to-device (D2D) network of $n$ nodes with local caches, where each node intends to download files from a prefixed library via D2D links. Our proposed caching delivery includes two stages, employing distributed MIMO and hierarchical cooperations, respectively. The distributed MIMO is applied to the first stage between source nodes and neighbors of the destination node. The induced multiplexing gain and diversity gain increase the number of simultaneous transmissions, improving the throughput of the network. The hierarchical cooperations are applied to the second stage to facilitate the transmissions between the destination node and its neighbors. The two stages together exploit spatial degrees of freedom as well as spatial reuse. We develop an uncoded random caching placement strategy to serve this cooperative caching delivery. Analytical results show that the average aggregate throughput of the network scales almost linearly with $n$ , with a vanishing outage probability. Furthermore, we derive an explicit expression of the optimal throughput as a function of system parameters, such as pathloss factor under a target outage probability. Analytical and numerical results demonstrate that our proposed scheme outperforms existing ones when the local cache size is limited.
Structure and dielectric properties of Na1/2Bi1/2TiO3-BaTiO3 solid solutions

Dielectric properties, polarization and x-ray diffraction are studied for (1-x)Na<sub>1/2</sub>Bi<sub>1/2</sub>TiO<sub>3</sub>-xBaTiO<sub>3</sub> solid solutions in a concentration range above the morphotropic phase boundary. It is showed that all the studied compositions have tetragonal structure with maximal tetragonality slightly above the morphotropic phase boundary. Ferroelectric relaxor behavior is observed in a wide concentration range of BaTiO<sub>3</sub>. Stability of the relaxor state decreases with increasing BaTiO<sub>3</sub> concentration, but only for compositions with low Na<sub>1/2</sub>Bi<sub>1/2</sub>TiO<sub>3</sub> content the normal ferroelectric-paraelectric phase transition, which is characteristic to pure BaTiO<sub>3</sub>, occurs. Mechanisms, which influence the change of the phase transition character and promote the appearance of the relaxor state, are discussed. The phase diagram of (1-x)Na<sub>1/2</sub>Bi<sub>1/2</sub>TiO<sub>3</sub>-xBaTiO<sub>3</sub> is revised.
Substitutions between dairy product subgroups and risk of type 2 diabetes: the Danish Diet, Cancer and Health cohort

Abstract The aim of this study was to investigate the associations for specified substitutions between different subgroups of dairy products and the risk of type 2 diabetes. We used data from the Danish Diet, Cancer and Health cohort including 54 277 men and women aged 50–64 years at baseline. Information regarding intake of dairy products was obtained from a validated FFQ, and cases of type 2 diabetes were identified through the Danish National Diabetes Register. Cox proportional hazards regressions were used to estimate associations. During a median follow-up of 15·3 years, 7137 cases were identified. Low-fat yogurt products in place of whole-fat yogurt products were associated with a higher rate of type 2 diabetes (hazard ratio (HR) 1·17; 95 % CI 1·06, 1·29) per serving/d substituted. Whole-fat yogurt products in place of low-fat milk, whole-fat milk or buttermilk were associated with a lower rate of type 2 diabetes (HR 0·89; 95 % CI 0·83, 0·96; HR 0·89; 95 % CI 0·82, 0·96; HR 0·89; 95 % CI 0·81, 0·97; per serving/d substituted, respectively). The pattern of associations was similar when intake was expressed as kJ/d (kcal/d). These findings suggest that intake of whole-fat yogurt products in place of low-fat yogurt products, low-fat milk, whole-fat milk and buttermilk are associated with a lower rate of type 2 diabetes.
Validation of a patient-centered culturally sensitive health care office staff inventory

Aim/Background Research suggests that patient-perceived culturally sensitive health care encompasses multiple components of the health care delivery system including the cultural sensitivity of front desk office staff. Despite this, research on culturally sensitive health care focuses almost exclusively on provider behaviors, attitudes, and knowledge. This is due in part to the paucity of instruments available to assess the cultural sensitivity of front desk office staff. Thus, the objective of the present study is to determine the psychometric properties of the pilot Tucker-Culturally Sensitive Health Care Office Staff Inventory-Patient Form (T-CSHCOSI-PF), which is an instrument designed to enable patients to evaluate the patient-defined cultural sensitivity of their front desk office staff. Methods A sample of 1648 adult patients was recruited by staff at 67 health care sites across the United States. These patients anonymously completed the T-CSHCOSI-PF, a demographic data questionnaire, and a patient satisfaction questionnaire. Findings Confirmatory factor analyses of the TCSHCOSI-PF revealed that this inventory has two factors with high internal consistency reliability and validity (Cronbach’s αs=0.97 and 0.95). Conclusions It is concluded that the T-CSHCOSI-PF is a psychometrically strong and useful inventory for assessing the cultural sensitivity of front desk office staff. This inventory can be used to support culturally sensitive health care research, evaluate the job performance of front desk office staff, and aid in the development of trainings designed to improve the cultural sensitivity of these office staff.
Complex Formation Facilitates Endocytosis of the Varicella-Zoster Virus gE:gI Fc Receptor

ABSTRACT Open reading frames within the unique short segment of alphaherpesvirus genomes participate in egress and cell-to-cell spread. The case of varicella-zoster virus (VZV) is of particular interest not only because the virus is highly cell associated but also because its most prominent cell surface protein, gE, bears semblance to the mammalian Fc receptor FcγRII. A previous study demonstrated that when expressed alone in cells, VZV gE was endocytosed from the cell surface through a tyrosine localization motif in its cytoplasmic tail (J. K. Olson and C. Grose, J. Virol. 71:4042–4054, 1997). Since VZV gE is normally found in association with gI in the infected cell, the present study was directed at defining the trafficking of the VZV gE:gI protein complex. First, VZV gI underwent endocytosis and recycling when it was expressed alone in cells, and interestingly, VZV gI contained a methionine-leucine internalization motif in its cytoplasmic tail. Second, VZV gI was found by confocal microscopy to colocalize with VZV gE during endocytosis and recycling in cells. Third, by a quantitative internalization assay, VZV gE:gI was shown to undergo endocytosis more efficiently (steady state, 55 to 60%) than either gE alone (steady state, ∼32%) or gI alone (steady state, ∼45%). Further, examination of endocytosis-deficient mutant proteins demonstrated that VZV gI exerted a more pronounced effect than gE on internalization of the complex. Most importantly, therefore, these studies suggest that VZV gI behaves as an accessory component by facilitating the endocytosis of the major constituent gE and thereby modulating the trafficking of the entire cell surface gE:gI Fc receptor complex.
Daily cocoa intake reduces the susceptibility of low-density lipoprotein to oxidation as demonstrated in healthy human volunteers

Nine male volunteers were given 36 g of cocoa powder (containing 2610 mg of polyphenols) per day with sugar and 6 volunteers received an equivalent amount of sugar for 2 weeks. Conjugated diene production in LDL induced by 2-2′ azobis(4-methoxy-2,4-dimethyl-valeronitrile) (V-70) and copper ion were evaluated. The lag time was significantly prolonged at 1 and 2 weeks in V-70 and at 2 weeks in copper ion after cocoa powder consumption. The level of excretion of epicatechin in urine was significantly higher in the cocoa group than that in the control group. In conclusion, the antioxidants in cocoa powder might be absorbed and increase the resistance of human LDL to oxidation.
The GHQ and the HAD

authors are obliged to explain all of our data and not just those bits which confirm our prejudices. Thus, while British psychiatrists seemed to expect more violence from Afro-Caribbean â€ ̃¿ cases' â€”¿ a view implying inferiority â€”¿ they also saw the illness as likely to be of short duration requiring less medi cation â€”¿ a view which is more difficult to classify along this dimension. The notion of race-thinking introduced by sociol ogists who study this area is not a Bowdlerisation of racism but a variant of it, potentially more harmful since it is subtle and insidious. The generalisations that, for example, the Welsh are good at rugby and singing andtheJewshaveaflair forbusiness, donot in themselves imply inferiority, but betray a willing ness to describe people on the basis of supposed bio logical characteristics. People who hold these views can delude themselves that they are not being racist, unlike those who say the Welsh are stupid and the Jews avaricious. There is nothing comfortable about race-thinking since it tends to afflict most of us, including those eager to proclaim their liberal cre dentials. As Husband (1982) observed wryly: â€œ¿ The essential part of race-thinking is the common sense belief that â€ ̃¿ race' is a self-evidently neutral fact, not to be confused with racism which is a special condition of a few disturbed bigots who abuse reality with their prejudiceâ€•.
Activities of the Primary and Supplementary Motor Areas Increase in Preparation and Execution of Voluntary Muscle Relaxation: An Event-Related fMRI Study

Brain activity associated with voluntary muscle relaxation was examined by applying event-related functional magnetic resonance imaging (fMRI) technique, which enables us to observe change of fMRI signals associated with a single motor trial. The subject voluntarily relaxed or contracted the right upper limb muscles. Each motor mode had two conditions; one required joint movement, and the other did not. Five axial images covering the primary motor area (M1) and supplementary motor area (SMA) were obtained once every second, using an echoplanar 1.5 tesla MRI scanner. One session consisted of 60 dynamic scans (i.e., 60 sec). The subject performed a single motor trial (i.e., relaxation or contraction) during one session in his own time. Ten sessions were done for each task. During fMRI scanning, electromyogram (EMG) was monitored from the right forearm muscles to identify the motor onset. We calculated the correlation between the obtained fMRI signal and the expected hemodynamic response. The muscle relaxation showed transient signal increase time-locked to the EMG offset in the M1 contralateral to the movement and bilateral SMAs, where activation was observed also in the muscle contraction. Activated volume in both the rostral and caudal parts of SMA was significantly larger for the muscle relaxation than for the muscle contraction (p < 0.05). The results suggest that voluntary muscle relaxation occurs as a consequence of excitation of corticospinal projection neurons or intracortical inhibitory interneurons, or both, in the M1 and SMA, and both pre-SMA and SMA proper play an important role in motor inhibition.
Comparison of Different Frequency Controllers for a VSC-HVDC Supplied System

This paper studies three different frequency controllers and their effects on the voltage disturbance ride-through capability of a VSC-HVDC supplied industrial system. The idea of implementing frequency controller is to improve the power quality of industrial plants by slightly decreasing the VSC output voltage frequency since industrial processes are more sensitive to voltage drops than frequency deviations. The first two controllers, frequency controllers I and II, are fixed frequency controllers and the third one, frequency controller III, is a PI frequency controller. In order to compare three different controllers, a system with a simplified VSC-HVDC and different load types is simulated in PSCAD/EMTDC. Simulation results show that with frequency controller III, the VSC-HVDC supplied industrial plant can avoid a voltage collapse by decreasing frequency during or after disturbances. Furthermore, with an increase of the converter current limit, the possibility of mitigating voltage dips increases. For frequency controllers I and II, the extent of the disturbance ride-through capability depends on the current limit of the VSC-HVDC. A higher current limit results in a higher ride-through capability. The effect of the dc capacitor on improving the system voltage disturbance tolerance is also investigated during and after disturbances when the VSC-HVDC uses frequency controller I. The system voltage disturbance ride-through capability increases with an increase of the dc capacitance or the current limit.
Successful Treatment of Hemophagocytic Lymphohistiocytosis Associated with Lupus Nephritis by Using Mycophenolate Mofetil

An estimated 0.9% to 2.4% of patients with systemic lupus erythematosus (SLE) also have hemophagocytic lymphohistiocytosis (HLH). HLH associated with autoimmune diseases is often refractory to corticosteroid treatment; thus, additional immunosuppressive drugs, such as cyclosporine, cyclophosphamide, or tacrolimus, are required. Here, we describe the case of a 44-year-old Japanese woman who developed HLH associated with lupus nephritis. Initially, her HLH was refractory to treatment with a corticosteroid, tacrolimus, and mizoribine. However, alternative treatment with a corticosteroid, mycophenolate mofetil, and tacrolimus improved both her HLH and lupus nephritis. This case suggests the possibility of mycophenolate mofetil as a key drug for treating HLH associated with SLE.
Beam hardening correction for sparse-view CT reconstruction

Beam hardening, which is caused by spectrum polychromatism of the X-ray beam, may result in various artifacts in the reconstructed image and degrade image quality. The artifacts would be further aggravated for the sparse-view reconstruction due to insufficient sampling data. Considering the advantages of the total-variation (TV) minimization in CT reconstruction with sparse-view data, in this paper, we propose a beam hardening correction method for sparse-view CT reconstruction based on Brabant’s modeling. In this correction model for beam hardening, the attenuation coefficient of each voxel at the effective energy is modeled and estimated linearly, and can be applied in an iterative framework, such as simultaneous algebraic reconstruction technique (SART). By integrating the correction model into the forward projector of the algebraic reconstruction technique (ART), the TV minimization can recover images when only a limited number of projections are available. The proposed method does not need prior information about the beam spectrum. Preliminary validation using Monte Carlo simulations indicates that the proposed method can provide better reconstructed images from sparse-view projection data, with effective suppression of artifacts caused by beam hardening. With appropriate modeling of other degrading effects such as photon scattering, the proposed framework may provide a new way for low-dose CT imaging.