Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Chronic Hepatitis B Virus Infection on BDCA3+ Dendritic Cell Frequency and Function

Chronic hepatitis B virus (HBV) infection results from inadequate HBV-specific immunity. BDCA3+ dendritic cells (DCs) are professional antigen presenting cells considered to be important for antiviral responses because of specific characteristics, including high interferon-λ production. BDCA3+ DCs may thus also have a role in the immune response against HBV, and immunotherapeutic strategies aiming to activate DCs, including BDCA3+ DCs, in patient livers may represent an interesting treatment option for chronic HBV. However, neither the effect of chronic hepatitis B (CHB) infection on the frequency and function of BDCA3+ DCs in liver and blood, nor the effect of the viral surface protein (HBsAg) that is abundantly present in blood of infected individuals are known. Here, we provide an overview of BDCA3+ DC frequency and functional capacity in CHB patients. We find that intrahepatic BDCA3+ DC numbers are increased in CHB patients. BDCA3+ DCs from patient blood are not more mature at steady state, but display an impaired capacity to mature and to produce interferon-λ upon polyI:C stimulation. Furthermore, in vitro experiments exposing blood and intrahepatic BDCA3+ DCs to the viral envelope protein HBsAg demonstrate that HBsAg does not directly induce phenotypical maturation of BDCA3+ DCs, but may reduce IFN-λ production via an indirect unknown mechanism. These results suggest that BDCA3+ DCs are available in the blood and on site in HBV infected livers, but measures may need to be taken to revive their function for DC-targeted therapy.
The effect of gas loss on the formation of bound stellar clusters

The effect of gas ejection on the structure and binding energy of newly formed stellar clusters is investigated. The star formation efficiency (SFE), necessary for forming a gravitationally bound stellar cluster, is determined. Two sets of numerical N-body simulations are presented. As a first simplified approach we treat the residual gas as an external potential. The gas expulsion is approximated by reducing the gas mass to zero on a given time-scale, which is treated as a free parameter. In a second set of simulations we use smoothed particle hydrodynamics (SPH) to follow the dynamics of the outflowing residual gas self-consistently. We investigate cases where gas outflow is induced by an outwards propagating shock front and where the whole gas cloud is heated homogeneously, leading to ejection. If the stars are in virial equilibrium with the gaseous environment initially, bound clusters only form in regions where the local SFE is larger than 50 per cent or where the gas expulsion time-scale is long compared with the dynamical time-scale. A small initial velocity dispersion of the stars leads to a compaction of the cluster during the expulsion phase and reduces the SFE needed to form bound clusters to less than 10 per cent.
Effectiveness of Subacromial Anti-Adhesive Agent Injection after Arthroscopic Rotator Cuff Repair: Prospective Randomized Comparison Study

Background Arthroscopic rotator cuff repair generally has a good clinical outcome but shoulder stiffness after surgery due to subacromial adhesion is one of the most common and clinically important complications. Sodium hyaluronate (HA) has been reported to be an anti-adhesive agent in a range of surgical procedures. However, there are few reports of the outcomes of arthroscopic rotator cuff repair of the shoulder. This study examined whether a subacromial injection of HA/carboxymethylated cellulose (CMC) affected the postoperative shoulder stiffness and healing of rotator cuff repair, as well as the safety of an injection. Methods Between January 2008 and May 2008, 80 consecutive patients with arthroscopic rotator cuff repair were enrolled. The patients were assigned randomly to the HA/CMC injection group (n = 40) or control group (n = 40). All patients were evaluated using the visual analog scale (VAS) for pain, passive range of motion at 2, 6 weeks, 3, 6, 12 months after surgery, and the functional scores at 6, 12 months postoperatively. Cuff healing was also evaluated using CT arthrography or ultrasonography at 6 or 12 months after surgery. Results The HA/CMC injection group showed faster recovery of forward flexion at 2 weeks postoperatively than the control group but the difference was not statistically significant (p = 0.09). There were no significant difference in pain VAS, internal rotation, external rotation and functional scores between two groups at each follow-up period. The functional scores improved 6 months after surgery in both groups but there were no differences between the two groups. The incidence of unhealed rotator cuff was similar in the two groups. There were no complications related to an injection of anti-adhesive agents including wound problems or infections. Conclusions A subacromial injection of an anti-adhesive agent after arthroscopic rotator cuff repair tended to produce faster recovery in forward flexion with no adverse effects on cuff healing. However, its anti-adhesive effects after rotator cuff repair should be considered carefully with further studies.
Energy-Aware Fault-Tolerant CGRAs Addressing Application with Different Reliability Needs

In this paper, we propose a polymorphic fault tolerant architecture that can be tailored to efficiently support the reliability needs of multiple applications at run-time. Today, coarse-grained reconfigurable architectures (CGRAs) host multiple applications with potentially different reliability needs. Providing platform-wide worst-case (maximum) protection to all the applications is neither optimal nor desirable. To reduce the fault-tolerance overhead, adaptive fault-tolerance strategies have been proposed. The proposed techniques access the reliability requirements of each application and adjust the fault-tolerance intensity (and hence overhead), accordingly. However, existing flexible reliability schemes only allow to shift between different levels of modular redundancy (duplication, triplication, etc.) and deal with only a single class of faults (e.g. soft errors). To complement these strategies, we propose energy-aware fault-tolerance that, in addition to modular redundancy, can also provide low cost, sub-modular (e.g. residue mod 3) redundancy, to cater both permanent and temporary faults. Our solution relies on an agent based control layer and a configurable fault-tolerance data path. The control layer identifies the application class and configures the data path to provide the needed reliability. Simulation results using a few selected algorithms (FFT, matrix multiplication, and FIR filter) showed that the proposed method provides flexible protection with energy overhead ranging from 3.125% to 107% for different reliability levels. Synthesis results have confirmed that the proposed architecture significantly reduces the area overhead for self-checking (59.1%) and fault tolerant (7.1%) versions, compared to the state of the art adaptive reliability techniques.
Mathematical foundation of quantum annealing

Quantum annealing is a generic name of quantum algorithms that use quantum-mechanical fluctuations to search for the solution of an optimization problem. It shares the basic idea with quantum adiabatic evolution studied actively in quantum computation. The present paper reviews the mathematical and theoretical foundations of quantum annealing. In particular, theorems are presented for convergence conditions of quantum annealing to the target optimal state after an infinite-time evolution following the Schrodinger or stochastic (Monte Carlo) dynamics. It is proved that the same asymptotic behavior of the control parameter guarantees convergence for both the Schrodinger dynamics and the stochastic dynamics in spite of the essential difference of these two types of dynamics. Also described are the prescriptions to reduce errors in the final approximate solution obtained after a long but finite dynamical evolution of quantum annealing. It is shown there that we can reduce errors significantly by an ingenious choice of annealing schedule (time dependence of the control parameter) without compromising computational complexity qualitatively. A review is given on the derivation of the convergence condition for classical simulated annealing from the view point of quantum adiabaticity using a classical-quantum mapping.
Context Retrieval for Web Tables

Many modern knowledge bases are built by extracting information from millions of web pages. Though existing extraction methods primarily focus on web pages' main text, a huge amount of information is embedded within other web structures, such as web tables. Previous studies have shown that linking web page tables and textual context is beneficial for extracting more information from web pages. However, using the text surrounding each table without carefully assessing its relevance introduces noise in the extracted information, degrading its accuracy. To the best of our knowledge, we provide the first systematic study of the problem of table-related context retrieval: given a table and the sentences within the same web page, determine for each sentence whether it is relevant to the table. We define the concept of relevance and introduce a Table-Related Context Retrieval system (TRCR) in this paper. We experiment with different machine learning algorithms, including a recently developed algorithm that is robust to biases in the training data, and show that our system retrieves table-related context with F1=0.735.
Secure Information Processing during System-Level: Exploration of an Optimized Trojan Secured Datapath for CDFGs during HLS Based on User Constraints

Globalization of the System-on-Chip (SoC) design process poses a serious security alarm for SoC integrators, due to involvement of untrustworthy third party (3P) vendors supplying intellectual property (IP) cores. In this paper, a novel methodology for design space exploration in high level synthesis (HLS) is presented for loop based control data flow graphs (CDFG), which provides secure information processing against hardware Trojan in 3PIPs. The proposed approach performs this system level protection by exploration of an optimized combination of Trojan secured dual modular redundant (DMR) datapath and loop unrolling factor (U) by employing a novel particle swarm encoding scheme. Further, the approach also presents a novel technique for efficient exploration of vendor allocation procedure for hardware capable of Trojan detection. Finally, the approach presents a novel area-delay tradeoff during exploration of Trojan secured datapath and unrolling factor. Results indicated an average improvement in Quality of Results (QoR) of ~12% compared to a similar prior research.
A GPU Accelerated Algorithm for Compressive Sensing Based Image Super-Resolution

this paper presents a parallel algorithm designed for Super-resolution Image Reconstruction based on Compressive sensing in the ATI Stream platform. In the accelerating process, we select part of the serial program as the objects to be sped up according to the execution time of each stage, set appropriate parallel granularity to make full use of GPU's computational horsepower, and make a rational use of different kinds of memory space in GPU. At last, the result of the parallel algorithm is shown and analyzed. Compared to the serial algorithm, parallel algorithm has significantly accelerated results.
Rising Precipitation Extremes across Nepal

As a mountainous country, Nepal is most susceptible to precipitation extremes and related hazards, including severe floods, landslides and droughts that cause huge losses of life and property, impact the Himalayan environment, and hinder the socioeconomic development of the country. Given that the countrywide assessment of such extremes is still lacking, we present a comprehensive picture of prevailing precipitation extremes observed across Nepal. First, we present the spatial distribution of daily extreme precipitation indices as defined by the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) from 210 stations over the period of 1981–2010. Then, we analyze the temporal changes in the computed extremes from 76 stations, featuring long-term continuous records for the period of 1970–2012, by applying a non-parametric Mann−Kendall test to identify the existence of a trend and Sen’s slope method to calculate the true magnitude of this trend. Further, the local trends in precipitation extremes have been tested for their field significance over the distinct physio-geographical regions of Nepal, such as the lowlands, middle mountains and hills and high mountains in the west (WL, WM and WH, respectively), and likewise, in central (CL, CM and CH) and eastern (EL, EM and EH) Nepal. Our results suggest that the spatial patterns of high-intensity precipitation extremes are quite different to that of annual or monsoonal precipitation. Lowlands (Terai and Siwaliks) that feature relatively low precipitation and less wet days (rainy days) are exposed to high-intensity precipitation extremes. Our trend analysis suggests that the pre-monsoonal precipitation is significantly increasing over the lowlands and CH, while monsoonal precipitation is increasing in WM and CH and decreasing in CM, CL and EL. On the other hand, post-monsoonal precipitation is significantly decreasing across all of Nepal while winter precipitation is decreasing only over the WM region. Both high-intensity precipitation extremes and annual precipitation trends feature east−west contrast, suggesting significant increase over the WM and CH region but decrease over the EM and CM regions. Further, a significant positive trend in the number of consecutive dry days but significant negative trend in the number of wet (rainy) days are observed over the whole of Nepal, implying the prolongation of the dry spell across the country. Overall, the intensification of different precipitation indices over distinct parts of the country indicates region-specific risks of floods, landslides and droughts. The presented findings, in combination with population and environmental pressures, can support in devising the adequate region-specific adaptation strategies for different sectors and in improving the livelihood of the rural communities in Nepal.
VACCINATION WITH F1-V FUSION PROTEIN PROTECTS BLACK-FOOTED FERRETS (MUSTELA NIGRIPES) AGAINST PLAGUE UPON ORAL CHALLENGE WITH YERSINIA PESTIS

Previous studies have established that vaccination of black-footed ferrets (Mustela nigripes) with F1-V fusion protein by subcutaneous (SC) injection protects the animals against plague upon injection of the bacterium Yersinia pestis. This study demonstrates that the F1-V antigen can also protect ferrets against plague contracted via ingestion of a Y. pestis-infected mouse, a probable route for natural infection. Eight black-footed ferret kits were vaccinated with F1-V protein by SC injection at approximately 60 days-of-age. A booster vaccination was administered 3 mo later via SC injection. Four additional ferret kits received placebos. The animals were challenged 6 wk after the boost by feeding each one a Y. pestis-infected mouse. All eight vaccinates survived challenge, while the four controls succumbed to plague within 3 days after exposure. To determine the duration of antibody postvaccination, 18 additional black-footed ferret kits were vaccinated and boosted with F1-V by SC injection at 60 and 120 days-of-age. High titers to both F1 and V (mean reciprocal titers of 18,552 and 99,862, respectively) were found in all vaccinates up to 2 yr postvaccination, whereas seven control animals remained antibody negative throughout the same time period.
Light‐induced changes of plankton growth and stoichiometry: Experiments with natural phytoplankton communities

Both low and high rates of light supply can restrict herbivore growth rates by limiting either the quantity (photosynthetically fixed carbon) or the nutritional quality (nutrient content per fixed carbon) of the herbivores– food. The “light‐nutrient hypothesis,” therefore, predicts that, if phosphorus (P) supply is sufficiently low, production of herbivorous zooplankton should be unimodally related to light intensity. We manipulated the light regime of six different algal communities in a field experiment and investigated the effect of these manipulations on Daphnia growth. The algal communities came from six lakes having different total phosphorus concentrations, ranging from oligotrophic to eutrophic. Seston carbon (C) and seston carbon‐to‐phosphorus ratios in communities from oligotrophic and mesotrophic lakes increased with higher light availability. Across all lakes, the strength of these responses was related to algal diversity. More diverse algal communities showed a stronger increase than less diverse communities in both their carbon biomass and their C: P ratio with increasing light. Furthermore, in oligotrophic and mesotrophic treatments, Daphnia growth was highest at intermediate light intensities. In contrast, seston parameters and Daphnia growth were only weakly related to light supply in communities from eutrophic lakes.
From spaceflight to blood doping: Devices for assessing haemoglobin mass and intravascular volumes

As highlighted recently in this journal,1 but also in others, quantification of total haemoglobin mass (Hbmass ), red blood cell volume (RBCV), plasma volume (PV), and blood volume (BV) is common and relevant in a clinical and scientific context.1-5 For instance, a decline in BV is observed in artificial microgravity and during spaceflight, while a PV reduction is observed when sojourning to high altitude.2 Moreover, Hbmass and RBCV are two major determinants of physical performance,1 and measuring Hbmass might be a potential technique to detect blood doping. This article is protected by copyright. All rights reserved.
In the aftermath of a disaster : Meaning making and posttraumatic growth in Norwegian children and adolescents who were exposed to the 2004 tsunami

This study examined posttraumatic growth (PTG), positive change experienced as a result of the struggle with trauma, in children and adolescents exposed to a high-impact disaster, after which their experience of secondary adversity was minimal. The study also examined whether reduction in posttraumatic stress symptoms (PTSS) over time related to reports of PTG. Participants included 105 6to 17-year-olds who were directly exposed to the 2004 tsunami in Southeast Asia. They were interviewed 10 and 30 months after the disaster – PTSS was assessed at both time points, and PTG was assessed at 30 months. The individual’s subjective reactions to the event and concurrent PTSS (30 months post-tsunami) were independently and positively related to PTG, while the decrease in PTSS was not related to growth. Children and youth in this study reported lower absolute levels of PTG than those in other studies. Taken in sum, findings suggest that secondary adversities may influence posttraumatic reactions and ongoing distress, which are hypothesized to play a key role in the development of PTG. In the absence of such secondary stressors, continued distress in the form of PTSS may serve to catalyze the growth process. Implications for clinical practice are discussed.
El Niño – Southern Oscillation ’ s Impact on Atlantic Basin Hurricanes

El Niño–Southern Oscillation (ENSO) has been shown in many previous papers to impact seasonal levels of Atlantic basin tropical cyclone activity. This paper revisits this relationship by examining a longer period (1900–2009) than has been examined in earlier analyses. Alterations in large-scale climate parameters, especially vertical wind shear, are shown to be the primary reasons why tropical cyclone activity in the Atlantic is reduced in El Niño years. Climate signals are found to be somewhat stronger in the Caribbean than for the remainder of the tropical Atlantic. The focus of the paper then shifts to U.S. landfalls, confirming previous research that U.S. landfalls are reduced in El Niño years. The reduction in landfall frequency is greater along the Florida peninsula and East Coast than it is along the Gulf Coast, especially for major hurricanes. The probability of each state being impacted by a hurricane and major hurricane is given for El Niño, La Niña, and neutral years. The most dramatic probability differences between warm and cold ENSO events lie along the East Coast and, in particular, the state of North Carolina. The relationship between ENSO and the Atlantic multidecadal oscillation (AMO) is also examined. In general, the negative phase of the AMO is characterized by a stronger ENSO modulation signal than a positive phase of the AMO.
Activity in Human Auditory Cortex Represents Spatial Separation Between Concurrent Sounds

The primary and posterior auditory cortex (AC) are known for their sensitivity to spatial information, but how this information is processed is not yet understood. AC that is sensitive to spatial manipulations is also modulated by the number of auditory streams present in a scene (Smith et al., 2010), suggesting that spatial and nonspatial cues are integrated for stream segregation. We reasoned that, if this is the case, then it is the distance between sounds rather than their absolute positions that is essential. To test this hypothesis, we measured human brain activity in response to spatially separated concurrent sounds with fMRI at 7 tesla in five men and five women. Stimuli were spatialized amplitude-modulated broadband noises recorded for each participant via in-ear microphones before scanning. Using a linear support vector machine classifier, we investigated whether sound location and/or location plus spatial separation between sounds could be decoded from the activity in Heschl's gyrus and the planum temporale. The classifier was successful only when comparing patterns associated with the conditions that had the largest difference in perceptual spatial separation. Our pattern of results suggests that the representation of spatial separation is not merely the combination of single locations, but rather is an independent feature of the auditory scene. SIGNIFICANCE STATEMENT Often, when we think of auditory spatial information, we think of where sounds are coming from—that is, the process of localization. However, this information can also be used in scene analysis, the process of grouping and segregating features of a soundwave into objects. Essentially, when sounds are further apart, they are more likely to be segregated into separate streams. Here, we provide evidence that activity in the human auditory cortex represents the spatial separation between sounds rather than their absolute locations, indicating that scene analysis and localization processes may be independent.
Helleborus purpurascens—Amino Acid and Peptide Analysis Linked to the Chemical and Antiproliferative Properties of the Extracted Compounds

There is a strong drive worldwide to discover and exploit the therapeutic potential of a large variety of plants. In this work, an alcoholic extract of Helleborus purpurascens (family Ranunculaceae) was investigated for the identification of amino acids and peptides with putative antiproliferative effects. In our work, a separation strategy was developed using solvents of different polarity in order to obtain active compounds. Biochemical components were characterized through spectroscopic (mass spectroscopy) and chromatographic techniques (RP-HPLC and GC-MS). The biological activity of the obtained fractions was investigated in terms of their antiproliferative effects on HeLa cells. Through this study, we report an efficient separation of bioactive compounds (amino acids and peptides) from a plant extract dependent on solvent polarity, affording fractions with unaffected antiproliferative activities. Moreover, the two biologically tested fractions exerted a major antiproliferative effect, thereby suggesting potential anticancer therapeutic activity.