LLukas22/scidocs huggingface dataset:
Early Expression of FcγRI (CD64) on Monocytes  of Cardiac Surgical Patients and 
Higher Density of  Monocyte Anti-Inflammatory Scavenger CD163  Receptor in “On-Pump” Patients

OBJECTIVE
Activation of innate immunity cells is inseparably linked to cardiac surgical operation. The aim of this study was to assess the kinetics in the expression of receptor for Fc part of IgG, FcgammaRI (CD64), and scavenger receptor CD163 on peripheral blood cells of cardiac surgical patients and to examine the effect of cardiac bypass as a separable influence on the systemic acute inflammatory response.


METHODS
Forty patients, twenty in each group, were randomly assigned to CABG surgery performed either with "on-pump" or without "off-pump" cardiopulmonary bypass. Standardized quantitative flow cytometry method was used to determine the expression of surface markers.


RESULTS
The density of CD64 molecule on monocytes reached maximum on the 1st postoperative day (P<.001) whereas the peak for CD64 molecule expression on granulocytes was postponed to the 3rd postoperative day (P<.001). The expression of CD163 scavenger molecule on monocytes reached maximum on the 1st postoperative day (P<.001). The density of CD163 molecule on monocytes on the 1st postoperative day is significantly higher in "on-pump" patients in comparison with "off-pump" patients (P<.001).


CONCLUSION
In cardiac surgical patients the expression of activation marker FcgammaR1 (CD64) on monocytes is increased earlier in comparison with granulocytes in both "on-pump" and "off-pump" patients. The expression of scavenger molecule CD163 on monocytes is significantly higher in "on-pump" patients.
Model Reduction for Aeroservoelastic Systems

A model-reduction method for linear, parameter-varying systems based on parameter-varying balanced realizations is proposed for a body freedom flutter vehicle. A high-order linear, parameter-varying model with hundreds of states describes the coupling between the short period and first bendingmode with additional structural bending and torsion modes that couple with the rigid body dynamics. However, these high-order state–space models result in a challenging control design, and hence a reduced-order linear, parameter-varying model is desired. The objective is to reduce the model state order across the flight envelope while retaining a common set of states in the linear, parameter-varyingmodel. A reduced-order linear, parameter-varyingmodel with tens of states is obtained by combining classical model reduction and parameter-varying balanced realizations reduction techniques. The resulting reduced-order model captures the unstable dynamics of the vehicle and is well suited for the synthesis of active flutter suppression controllers.
Attachment theory as a framework for explaining engagement with Facebook

Research on the relation between personality and styles of engagement with social media is surprisingly limited and has generated mixed results. The present research applied attachment theory to illuminate individual differences in styles of Facebook engagement. Two studies (N = 583) supported a mediational model explaining various forms of active Facebook use as stemming from attachment anxiety, which predisposes individuals to sensitivity about social feedback, thereby leading them to engage in attentionseeking social media behavior. These results held while controlling for extraversion, neuroticism, and self-esteem. Attachment avoidance predicted restrained Facebook use, primarily due to its association with (low) extraversion. These findings resolve inconsistencies in previous research and demonstrate that attachment theory is a particularly useful framework through which to study the influence of personality on social-media behavior. 2015 Elsevier Ltd. All rights reserved.
Transition Metal Ion Complexes of Schiff-bases. Synthesis, Characterization and Antibacterial Properties

Some novel transition metal [Co(II), Cu(II), Ni(II) and Zn(II)] complexes of substituted pyridine Schiff-bases have been prepared and characterized by physical, spectral and analytical data. The synthesized Schiff-bases act as deprotonated tridentate for the complexation reaction with Co(II), Ni(II) and Zn(II) ions. The new compounds, possessing the general formula [M(L)(2)] where [M=Co(II), Cu(II), Ni(II) and Zn(II) and HL=HL(1), HL(2), HL(3) and HL(4)] show an octahedral geometry. In order to evaluate the effect of metal ions upon chelation, the Schiff bases and their complexes have been screened for antibacterial activity against the strains such as Escherichia coli,Staphylococcus aureus, and Pseudomonas aeruginosa. The complexed Schiff bases have shown to be more antibacterial against one more bacterial species as compared to uncomplexed Schiff-bases.
Effective substitution of aluminum for gallium in langasite-type crystals for a pressure sensor use at high temperature

Aluminum-substituted La3Ga5SiO14 (LGS)-type crystals, La3Ga5-xAlxSiO14 (LGAS(x)) and La3Ta0.5Ga5.5-xAlxSiO14 (LTGA(x)), were successfully grown by the Czochralski technique. These crystals were 18-23 mm in diameter and 70-100 mm in length. The piezoelectric modulus d11 values (6.21 and 6.92 pC/N) of the LGAS(x=0.9) and LTGA(x=0.5) crystals were slightly larger than that of the pure LGS and La3Ta0.5Ga5.5O14 (LTG) ones (6.08 and 6.89 pC/N), respectively. The LTGA(x=0.5) crystals showed the lowest temperature dependence of d11. The electric resistivity ρ values of the Al-substituted crystals at 400 C were significantly higher than those of the pure LGS and LTG crystals grown in an oxygen-containing atmosphere. The aluminum substitution is effective for improving the electrical properties of the LGS and LTG, and the LTGA(x=0.5) crystals are suitable for combustion pressure sensor materials. Keywordst: langasite family; substitution effect; corrosionresistivity; electric resistivity; piezoelectric constant
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Deep reinforcement learning algorithms can learn complex behavioral skills, but real-world application of these methods requires a large amount of experience to be collected by the agent. In practical settings, such as robotics, this involves repeatedly attempting a task, resetting the environment between each attempt. However, not all tasks are easily or automatically reversible. In practice, this learning process requires extensive human intervention. In this work, we propose an autonomous method for safe and efficient reinforcement learning that simultaneously learns a forward and reset policy, with the reset policy resetting the environment for a subsequent attempt. By learning a value function for the reset policy, we can automatically determine when the forward policy is about to enter a non-reversible state, providing for uncertainty-aware safety aborts. Our experiments illustrate that proper use of the reset policy can greatly reduce the number of manual resets required to learn a task, can reduce the number of unsafe actions that lead to non-reversible states, and can automatically induce a curriculum.2
UWB Monopole Antenna With Two Notched Bands Based on the Folded Stepped Impedance Resonator

In this letter, a novel ultrawideband (UWB) antenna with dual sharply rejected notch bands is proposed. The proposed antenna consists of a circular-shaped radiating element, a 50microstrip feed line, two short-circuited folded stepped impedance resonators (SIRs), and a partially truncated ground plane. The compact folded SIRs are located beside the feed line to achieve the band rejection characteristic. The proposed antenna shows UWB characteristics from around 3.07 up to 10.61 GHz for VSWR<;2 with one notch frequency band at 3.41~3.68 GHz and the other at 5.37~6.01 GHz. The notched frequencies can be adjusted according to speciήcation by altering the folded SIR.
Performance-driven facial animation

As computer graphics technique rises to the challenge of rendering lifelike performers, more lifelike performance is required. The techniques used to animate robots, arthropods, and suits of armor, have been extended to flexible surfaces of fur and flesh. Physical models of muscle and skin have been devised. But more complex databases and sophisticated physical modeling do not directly address the performance problem. The gestures and expressions of a human actor are not the solution to a dynamic system. This paper describes a means of acquiring the expressions of real faces, and applying them to computer-generated faces. Such an "electronic mask" offers a means for the traditional talents of actors to be flexibly incorporated in digital animations. Efforts in a similar spirit have resulted in servo-controlled "animatrons," hightechnology puppets, and CG puppetry [1]. The manner in which the skills of actors and puppetteers as well as animators are accommodated in such systems may point the way for a more general incorporation of human nuance into our emerging computer media.The ensuing description is divided into two major subjects: the construction of a highly-resolved human head model with photographic texture mapping, and the concept demonstration of a system to animate this model by tracking and applying the expressions of a human performer
A privacy preserving solution for the protection against sybil attacks in vehicular ad hoc networks

Services provided by vehicular Adhoc Networks (VANETs) would be impaired if faced to sybil attacks, by which malicious vehicles claim multiple identities at the same time. The prevention of these attacks, which could occur in or out of the Road Side Units (RSUs) coverage, is challenging, as it should meet a compromise between the ability to identify the real identity of the malicious vehicle, and prevention of vehicles from being tracked by malicious entities. We propose in this paper a solution to prevent and detect Sybil attacks in VANETs. The identification of attackers is based on two types of authentication techniques. The first uses RFID tags embedded in the vehicle to authenticate them to the RSU and obtain short lifetime certificates. The second uses certificates to authenticate vehicles to their neighbors. The vehicular network we are considering is divided into different zones brought under the control of different certification authorities, forcing a vehicle to change its certificate when moving from a zone to another. One important characteristic of the proposed solution is that it prevents attackers from tracking the mobility of the vehicles. Avoiding false negatives is also addressed using observers (e.g., software components in charge of monitoring) in vehicle nodes. A set of simulation scenarios are conducted to evaluate the performance of the solution.
Fatigue behavior of polymer-modified porous concretes

Highly permeable materials provide drainage and noise absorption properties that are useful in pavement top-layers. In such porous concretes, the voids reduce the mechanical integrity, which may have to be compensated by the incorporation of non-conventional components, such as polymers. A basic property needed for the design of pavements is the fatigue behavior of the material, which has not been studied thoroughly for polymer modified porous concretes. The paper presents experimental results of fatigue tests in compression in terms of Wöhler curves for four porous concretes (two of them with polymer). It is seen that the polymer modified porous concretes exhibit better fatigue behavior than those without polymer. However, the improvement decreases for low values of the stress level, S, and appears to be negligible for the case of traffic loads in main roads or highways (number of load cycles, N >10). Additionally, the deformation and internal temperature evolutions have been monitored, and it is concluded that their trends are similar to those of conventional concrete, with temperature increases significantly higher than in conventional concretes.
Giraffe: Using Deep Reinforcement Learning to Play Chess

This report presents Giraffe, a chess engine that uses self-play to discover all its domain-specific knowledge, with minimal hand-crafted knowledge given by the programmer. Unlike previous attempts using machine learning only to perform parametertuning on hand-crafted evaluation functions, Giraffe’s learning system also performs automatic feature extraction and pattern recognition. The trained evaluation function performs comparably to the evaluation functions of state-of-the-art chess engines all of which containing thousands of lines of carefully hand-crafted pattern recognizers, tuned over many years by both computer chess experts and human chess masters. Giraffe is the most successful attempt thus far at using end-to-end machine learning to play chess. We also investigated the possibility of using probability thresholds instead of depth to shape search trees. Depth-based searches form the backbone of virtually all chess engines in existence today, and is an algorithm that has become well-established over the past half century. Preliminary comparisons between a basic implementation of probability-based search and a basic implementation of depth-based search showed that our new probability-based approach performs moderately better than the established approach. There are also evidences suggesting that many successful ad-hoc add-ons to depth-based searches are generalized by switching to a probability-based search. We believe the probability-based search to be a more fundamentally correct way to perform minimax. Finally, we designed another machine learning system to shape search trees within the probability-based search framework. Given any position, this system estimates the probability of each of the moves being the best move without looking ahead. The system is highly effective the actual best move is within the top 3 ranked moves 70% of the time, out of an average of approximately 35 legal moves from each position. This also resulted in a significant increase in playing strength. With the move evaluator guiding a probability-based search using the learned evaluator, Giraffe plays at approximately the level of an FIDE International Master (top 2.2% of tournament chess players with an official rating)12. Fédération Internationale des Échecs, or the World Chess Federation, is the international organisation that governs all major international chess competitions. Please see Appendix A for a description of the Elo rating system.
High expression of Midkine (MK) indicates poor prognosis in childhood acute lymphoblastic leukemia.

OBJECTIVES
Midkine (MK) expression has been reported to be correlated with the poor prognosis of patients with various tumors. However, there are no data available about the prognostic value of MK expression in childhood acute lymphoblastic leukemia (ALL).


METHODS
In this study, MK mRNA expression was determined by real-time polymerase chain reaction in 120 childhood ALL and 30 healthy volunteers. Patients were dichotomized at the median value and divided into two groups: MK(low) group and MK(high) group.


RESULTS
MK(high) patients had higher white blood cell counts, higher peripheral blood blasts percentages, and higher minimal residual disease levels than MK(low) patients. Moreover, the MK gene was expressed significantly higher in patients with relapsed ALL than in patients who maintained complete remission or at diagnosis. MK(high) patients harbored inferior relapse-free survival (RFS, P = 0.047) and overall survival (OS, P = 0.022) than MK(low) patients, and high expression of MK was found to be independently predictive of inferior OS (P = 0.032) but not RFS (P = 0.077) in the overall cohort.


CONCLUSION AND DISCUSSION
MK high expression is an independent adverse prognostic factor in childhood ALL. Its level may be incorporated into an improved risk classification system for ALL and suggest the need of alternative regimens.
Building a Multilingual Parallel Subtitle Corpus

In this paper on-going work of creating an extensive multilingual parallel corpus of movie subtitles is presented. The corpus currently contains roughly 23,000 pairs of aligned subtitles covering about 2,700 movies in 29 languages. Subtitles mainly consist of transcribed speech, sometimes in a very condensed way. Insertions, deletions and paraphrases are very frequent which makes them a challenging data set to work with especially when applying automatic sentence alignment. Standard alignment approaches rely on translation consistency either in terms of length or term translations or a combination of both. In the paper, we show that these approaches are not applicable for subtitles and we propose a new alignment approach based on time overlaps specifically designed for subtitles. In our experiments we obtain a significant improvement of alignment accuracy compared to standard length-based approaches.
Lesion- and vessel-specific coronary artery calcium scores are superior to whole-heart Agatston and volume scores in the diagnosis of obstructive coronary artery disease.

BACKGROUND
The whole-heart coronary artery calcium (CAC) score has poor predictive value for obstructive coronary artery disease (CAD). We hypothesized that vessel- and lesion-specific CAC scores are more accurate.


OBJECTIVES
To evaluate the usefulness of vessel- and lesion-specific CAC in predicting obstructive CAD and to assess the incremental value added by the vessel- and lesion-specific CAC to the conventional whole-heart CAC approach.


METHODS
Ninety-one patients with CAC scores and invasive angiography (XRA) data were enrolled. Besides whole-heart CAC, Agatston score (AgSc) and volume score (VolSc) were measured individually for each lesion in the 4 major epicardial coronary arteries. Maximum and average lesion-specific scores in each vessel were also determined. For the primary analysis, obstructive CAD was defined as 50% diameter stenosis by XRA.


RESULTS
Whole-heart AgSc and VolSc were not different between patients with and without obstructive CAD (P = .23 and P = .18), whereas vessel- and lesion-specific scores were (maximum lesion specific AgSc, P < .0001). Maximum lesion-specific AgSc had superior diagnostic performance compared with whole-heart AgSc (area under receiver operating characteristics, 0.71 vs 0.58). Overall sensitivity, specificity, and diagnostic accuracy were improved. When specificity was fixed at 80%, sensitivity of maximum lesion-specific AgSc was superior to whole-heart AgSc (56.6% vs 35.1%). Most importantly, with lesion-specific AgSc, fewer patients were classified as "indeterminate" compared with whole-heart AgSc (17.9% vs 50%).


CONCLUSIONS
Vessel- and lesion-specific CAC scores are superior to the whole-heart AgSc and VolSc in predicting obstructive CAD. This simple refinement in CAC scoring may significantly improve the clinical predictive role of CAC imaging.
Fixed Point Theorems for ws-Compact Mappings in Banach Spaces

We present new fixed point theorems for ws-compact operators. Our fixed point results are obtained under Sadovskii, Leray-Schauder, Rothe, Altman, Petryshyn, and Furi-Pera type conditions. An example is given to show the usefulness and the applicability of our results.
Assessment of underground cable ratings based on distributed temperature sensing

Numerous power utilities have installed advanced distributed temperature sensing (DTS) systems to measure the temperature of underground cables. This paper presents a general procedure for real-time assessment of underground cable ratings based on DTS. After the identification and location of hot spots on a cable, the cable installation data, load, and DTS-recorded temperature over a period of time are used to estimate soil thermal parameters and assess cable ratings under normal and overloading conditions. In order to accurately estimate soil thermal parameters, a combined technique of the finite-element method and gradient-based optimization is used. The technique was validated in the laboratory and applied to a rating assessment of a 230-kV/500-MVA cable circuit. The assessed continuous and emergency ratings are helpful in improving the operation of this circuit
Analysis of cause-specific mortality in the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) study.

BACKGROUND
Expectations that reestablishing and maintaining sinus rhythm in patients with atrial fibrillation might improve survival were disproved in the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) study. This report describes the cause-specific modes of death in the AFFIRM treatment groups.


METHODS AND RESULTS
All deaths in patients enrolled in AFFIRM underwent blinded review by the AFFIRM Events Committee, and a mode of death was assigned. In AFFIRM, 2033 patients were randomized to a rhythm-control strategy and 2027 patients to a rate-control strategy. During a mean follow-up of 3.5 years, there were 356 deaths in the rhythm-control patients and 310 deaths in the rate-control patients (P=0.07). In the rhythm-control group, 129 patients (9%) died of a cardiac cause, and in the rate-control group, 130 patients (10%) died (P=0.95). Both groups had similar rates of arrhythmic and nonarrhythmic cardiac deaths. The numbers of vascular deaths were similar in the 2 groups: 35 (3%) in the rhythm-control group and 37 (3%) in the rate-control group (P=0.82). There were no differences in the rates of ischemic stroke and central nervous system hemorrhage. In the rhythm-control group, there were 169 noncardiovascular deaths (47.5% of the total number of deaths), whereas in the rate-control arm, there were 113 noncardiovascular deaths (36.5% of the total number of deaths) (P=0.0008). Differences in noncardiovascular death rates were due to pulmonary and cancer-related deaths.


CONCLUSIONS
Management of atrial fibrillation with a rhythm-control strategy conferred no advantage over a rate-control strategy in cardiac or vascular mortality and may be associated with an increased noncardiovascular death rate.
Using the HEXACO model to test the validity of the Dirty Dozen measure of the Dark Triad

The Dirty Dozen measure of the Dark Triad (i.e., narcissism, psychopathy, and Machiavellianism) has not been assessed in relation to the HEXACO model of personality despite evidence that the latter might provide better detail about the Dark Triad traits than the Five Factor Model. In this study (N = 544), we present the first attempt to correlate the Dirty Dozen subscales with a HEXACO measure. Consistent with previous research on the Dark Triad, the Honesty/Humility factor was more strongly correlated with the Dirty Dozen subscales at the zero-order level than was the Agreeableness factor but the association with psychopathy was stronger for Agreeableness when we controlled for shared variance in the Dark Triad. In addition, we explored how the Dirty Dozen relates to different facets of the HEXACO model, affirming its utility in that despite the relatively high correlations among the traits and the limited content breadth, it still taps a range of personality traits. 2012 Elsevier Ltd. All rights reserved.