Miracle-dz/UniFAR-FTUs huggingface dataset:
Motor Lateralization May Be Influenced by Long-Term Piano Playing Practice

Motor lateralization is viewed as anatomical or functional asymmetry of the two sides of the body. Functional motor asymmetry can be influenced by musical practice. This study explored whether piano playing experience modulates motor asymmetry and leads to an altered pattern of hand selection, reflecting an altered handedness. We asked two groups of right-handed participants—piano players and non-piano players—to reach targets in their frontal space with both arms, and we tested the motor performance of each arm on this task and then on an arm preference test. As musical practice can decrease motor asymmetry between arms, we hypothesized that participants with piano playing experience would display less interlimb asymmetry and that this, in turn, would change their arm preference pattern, compared with participants without piano playing experience. We found support for both hypotheses, and we conclude that arm selection (preference) is not biologically fixed, but, rather, can be modulated through long-term piano playing.
Cathepsin S Alters the Expression of Pro-Inflammatory Cytokines and MMP-9, Partially through Protease—Activated Receptor-2, in Human Corneal Epithelial Cells

Cathepsin S (CTSS) activity is increased in tears of Sjögren’s syndrome (SS) patients. This elevated CTSS may contribute to ocular surface inflammation. Human corneal epithelial cells (HCE-T cells) were treated with recombinant human CTSS at activity comparable to that in SS patient tears for 2, 4, 8, and 24 h. Acute CTSS significantly increased HCE-T cell gene and protein expression of interleukin 6 (IL-6), interleukin 8 (IL-8), tumor necrosis factor-α (TNF-α), and interleukin-1β (IL-1β) from 2 to 4 h, while matrix metalloproteinase 9 (MMP-9), CTSS, and protease-activated receptor-2 (PAR-2) were increased by chronic CTSS (24 h). To investigate whether the increased pro-inflammatory cytokines and proteases were induced by CTSS activation of PAR-2, HCE-T cells were transfected with PAR-2 siRNA, reducing cellular PAR-2 by 45%. Cells with reduced PAR-2 expression showed significantly reduced release of IL-6, TNF-α, IL-1β, and MMP-9 into culture medium in response to acute CTSS, while IL-6, TNF-α, and MMP-9 were reduced in culture medium, and IL-6 and MMP-9 in cell lysates, after chronic CTSS. Moreover, cells with reduced PAR-2 expression showed reduced ability of chronic CTSS to induce gene expression of pro-inflammatory cytokines and proteases. CTSS activation of PAR-2 may represent a potential therapeutic target for amelioration of ocular surface inflammation in SS patients.
Data Sources for Advancing Cyber Forensics: What the Social World Has to Offer

Cyber Forensics is fairly new as a scientific discipline and deals with the acquisition, authentication and analysis of digital evidence. One of the biggest challenges in this domain has thus far been real data sources that are available for experimentation. Only a few data sources exist at the time writing of this paper. The authors in this paper deliberate how social media data sources may impact future directions in cyber forensics, and describe how these data sources may be used as new digital forensic artifacts in future investigations. The authors also deliberate how the scientific community may leverage publically accessible social media data to advance the state of the art in Cyber Forensics.
The Effect of Childhood Adversities and Protective Factors on the Development of Child-Psychiatric Disorders and Their Treatment

Context: Families with high rates of childhood adversities (CAs) (multi problem families, MPF) have an increasing importance in public health-policy. Objective: The present study addresses the relationship between risk- and protective factors and the severity and treatment-outcome of mental disorders. Setting: Family-therapeutic home-based treatment for MPF. We examined a clinical sample (N = 1031) of children between the age of 4 to 17, and a non-clinical sample of 148 children. We hypothesized that of all children of the clinical group have a predominance of risk factors and a higher number of psychopathological symptoms. Furthermore, we hypothesized that children with a predominance of protective factors benefit stronger from psychotherapy. Main Results: In the clinical sample, most children met the criteria of a psychopathological diagnosis (95.7%, as compared to 21.6% in the non-clinical sample) and showed significant higher rates of CAs and significant less protective factors as compared to the non-clinical sample. The clinical group showed a significant reduction of psychopathological symptoms and benefited equally well from treatment. The number of risk factors was a significant predictor for a child from the non-clinical sample to meet the criteria of a psychopathological diagnosis, while the number of protective factors significantly predicted the absence thereof. Conclusion: Children and adolescents with high scores of CAs show significant associations with child psychiatric symptoms (d = 0.35; including all ICD-diagnosis such as, e.g., Asperger Syndrome, ADHD etc. with a higher rate of genetic etiology). Early life stressors, however, do not trigger an irreversible fate, as psychotherapy with young people with high numbers of risk factors does help to reduce psychopathological symptoms significantly (range of five outcome parameters: d = 0.31–0.72).
Phenotypic and Genotypic Characterization of Carbapenem-resistant Enterobacteriaceae: Data From a Longitudinal Large-scale CRE Study in China (2012-2016).

Background Carbapenem-resistant Enterobacteriaceae (CRE) strains are a major threat to global health. The development of effective control measures requires more detailed phenotypic and genotypic characterization of CRE. Methods CRE isolates were collected from 65 hospitals in 25 provinces across China between January 1, 2012, and December 31, 2016. The isolates were characterized by antimicrobial susceptibility testing and multilocus sequence typing. Genes encoding carbapenemases, mobilized colistin resistance (mcr-1), and β-lactamases were detected by polymerase chain reaction and DNA sequencing. Results A total of 1801 independent CRE isolates (1201 Klebsiella pneumoniae, 282 Escherichia coli, and 179 Enterobacter cloacae) were collected during the study period. Overall, 96.9%, 89.7%, 54.5%, 49.9%, and 40% of CRE strains were susceptible to colistin, tigecycline, amikacin, minocycline, and fosfomycin, respectively. Notably, 1091/1201 (91%) K. pneumoniae, 225/282 (80%) E. coli, and 129/179 (72%) E. cloacae harbored carbapenemase gene. K. pneumoniae carbapenemase (KPC) was predominant in K. pneumoniae (77%), whereas New Delhi metallo-β-lactamase (NDM) was predominant in E. coli (75%) and E. cloacae (53%). The mcr-1 gene was detected in 13 NDM-carrying E. coli isolates (4.6%). Sequence type (ST)11 and ST167 were predominant among the 100 K. pneumoniae and 47 E. coli STs, respectively. KPC-ST11, which accounted for 64% of K. pneumoniae isolates, had higher levels of resistance than non-ST11 strains to aztreonam, fosfomycin, and amikacin (P < .001). The proportions of KPC and NDM enzymes in CRE increased from 2012 to 2016 (54%-59% and 12%-28%, respectively). Conclusions The number of CRE strains harboring carbapenemase is increasing. KPC-ST11 K. pneumoniae, the predominant strain, shows a reduced susceptibility to most available antibiotics.
Initiating Interactions and Negotiating Approach: A Robotic Trash Can in the Field

In this study, we address how people respond to a robotic trashcan initiating interactions and offering its service. We show that considerable coordination and negotiation work takes place both between human and robot and between humans who are involved in a joint activity when the robot approaches. While in this scenario attention getting was no problem, the interactions posed significant problems to people who did not want the robot’s service. The unwillingness to interact with the robot was mostly communicated by withholding social signals, which means that human-robot interaction designers not only need to build in ways to respond to human social signals in a timely and appropriate manner, but also a representation of what kinds of signals could be expected in order to interpret the ostensive lack of such signals adequately.
Identifying the optimal regional predictor of right ventricular global function: a high‐resolution three‐dimensional cardiac magnetic resonance study†

Right ventricular (RV) function has prognostic value in acute, chronic and peri‐operative disease, although the complex RV contractile pattern makes rapid assessment difficult. Several two‐dimensional (2D) regional measures estimate RV function, however the optimal measure is not known. High‐resolution three‐dimensional (3D) cardiac magnetic resonance cine imaging was acquired in 300 healthy volunteers and a computational model of RV motion created. Points where regional function was significantly associated with global function were identified and a 2D, optimised single‐point marker (SPM‐O) of global function developed. This marker was prospectively compared with tricuspid annular plane systolic excursion (TAPSE), septum‐freewall displacement (SFD) and their fractional change (TAPSE‐F, SFD‐F) in a test cohort of 300 patients in the prediction of RV ejection fraction. RV ejection fraction was significantly associated with systolic function in a contiguous 7.3 cm2 patch of the basal RV freewall combining transverse (38%), longitudinal (35%) and circumferential (27%) contraction and coinciding with the four‐chamber view. In the test cohort, all single‐point surrogates correlated with RV ejection fraction (p < 0.010), but correlation (R) was higher for SPM‐O (R = 0.44, p < 0.001) than TAPSE (R = 0.24, p < 0.001) and SFD (R = 0.22, p < 0.001), and non‐significantly higher than TAPSE‐F (R = 0.40, p < 0.001) and SFD‐F (R = 0.43, p < 0.001). SPM‐O explained more of the observed variance in RV ejection fraction (19%) and predicted it more accurately than any other 2D marker (median error 2.8 ml vs 3.6 ml, p < 0.001). We conclude that systolic motion of the basal RV freewall predicts global function more accurately than other 2D estimators. However, no markers summarise 3D contractile patterns, limiting their predictive accuracy.
Multifunctional Platform Based on Electroactive Polymers and Silica Nanoparticles for Tissue Engineering Applications

Poly(vinylidene fluoride) nanocomposites processed with different morphologies, such as porous and non-porous films and fibres, have been prepared with silica nanoparticles (SiNPs) of varying diameter (17, 100, 160 and 300 nm), which in turn have encapsulated perylenediimide (PDI), a fluorescent molecule. The structural, morphological, optical, thermal, and mechanical properties of the nanocomposites, with SiNP filler concentration up to 16 wt %, were evaluated. Furthermore, cytotoxicity and cell proliferation studies were performed. All SiNPs are negatively charged independently of the pH and more stable from pH 5 upwards. The introduction of SiNPs within the polymer matrix increases the contact angle independently of the nanoparticle diameter. Moreover, the smallest ones (17 nm) also improve the PVDF Young’s modulus. The filler diameter, physico-chemical, thermal and mechanical properties of the polymer matrix were not significantly affected. Finally, the SiNPs’ inclusion does not induce cytotoxicity in murine myoblasts (C2C12) after 72 h of contact and proliferation studies reveal that the prepared composites represent a suitable platform for tissue engineering applications, as they allow us to combine the biocompatibility and piezoelectricity of the polymer with the possible functionalization and drug encapsulation and release of the SiNP.
Catalytic enzymes are active matter

Significance Catalysis and mobility of reactants in fluid are normally thought to be decoupled. Violating this classical paradigm, this paper presents the catalyst laws of motion. Comparing experimental data to the theory presented here, we conclude that part of the free energy released by chemical reaction is channeled into driving catalysts to execute wormlike trajectories by piconewton forces performing work of a few kBT against fluid viscosity, where the rotational diffusion rate dictates the trajectory persistence length. This active motion agitates the fluid medium and produces antichemotaxis, the migration of catalyst down the gradient of the reactant concentration. Alternative explanations of enhanced catalyst mobility are examined critically. Using a microscopic theory to analyze experiments, we demonstrate that enzymes are active matter. Superresolution fluorescence measurements—performed across four orders of magnitude of substrate concentration, with emphasis on the biologically relevant regime around or below the Michaelis–Menten constant—show that catalysis boosts the motion of enzymes to be superdiffusive for a few microseconds, enhancing their effective diffusivity over longer timescales. Occurring at the catalytic turnover rate, these fast ballistic leaps maintain direction over a duration limited by rotational diffusion, driving enzymes to execute wormlike trajectories by piconewton forces performing work of a few kBT against viscosity. The boosts are more frequent at high substrate concentrations, biasing the trajectories toward substrate-poor regions, thus exhibiting antichemotaxis, demonstrated here experimentally over a wide range of aqueous concentrations. Alternative noncatalytic, passive mechanisms that predict chemotaxis, cross-diffusion, and phoresis, are critically analyzed. We examine the physical interpretation of our findings, speculate on the underlying mechanism, and discuss the avenues they open with biological and technological implications. These findings violate the classical paradigm that chemical reaction and motility are distinct processes, and suggest reaction–motion coupling as a general principle of catalysis.
Analysis of selected T cell subsets in peripheral blood after exhaustive effort among elite soccer players

Introduction Physical exercise induces developing of naïve T lymphocyte subsets into polarised effector ones by immune system. The aim of the study was to examine the influence of exhaustive effort on the selected Th cell subsets and inflammation markers among soccer players. Materials and methods Fourteen soccer players aged 18 (16-21) years old performed the progressive efficiency test on mechanical treadmill. Th and Tc memory lymphocytes’ subsets and selected cytokine concentrations pre-exercise, post-exercise and in recovery were analysed by flow cytometry. Results Physical effort induced changes in Th cell percentages. Increase in recovery Treg and Th17 cell subsets’ percentages in comparison to pre-exercise values were observed (10.98 (9.83-14.07) vs. 3.95 (3.15-5.53), P < 0.001 in autumn; 10.58 (7.54-12.67) vs. 4.83 (3.73-6.81), P < 0.010 in spring for Treg and 29.21 (26.34-32.16) vs. 21.64 (18.48-25.76) in autumn; 27.15 (24.60-29.16) vs. 17.43 (15.83-19.77) in spring, both P < 0.010; for Th17, respectively). Increases in Th1 cell percentages post-exercise (31.86 (28.72-33.72) in autumn, 25.60 (21.50-29.19) in spring, both P < 0.010) and in recovery (34.64 (31.21-38.20) in autumn; 26.68 (25.17-28.07) in spring, both P < 0.001) compared to pre-exercise (22.70 (21.21-26.74) for autumn and 15.64 (14.38-19.63) for spring, respectively) were found. Interestingly, no changes in Th2 cell subsets were found. Post-exercise and recovery changes in IL-6, IL-8, TNF-α and IL-10 were also observed. Conclusions It seems that the given effort in the progressive test induced an anabolic effect being related not only with cytokine profile but also with CD4+ T cells’ differentiation and peripheral distribution.
Synthesis, characterization and nucleic acid binding studies of mononuclear copper(II) complexes derived from azo containing O, O donor ligands

Abstract Azo linked salicyldehyde and a new 2-hydroxy acetophenone based ligands (HL1 and HL2) with their copper(II) complexes [Cu(L1)2] (1) and [Cu(L2)2] (2) were synthesized and characterized by spectroscopic methods such as 1H, 13C NMR, UV–Vis spectroscopy and elemental analyses. Calculation based on Density Functional Theory (DFT), have been performed to obtain optimized structures. Binding studies of these copper (II) complexes with calf thymus DNA (ct-DNA) and torula yeast RNA (t-RNA) were analyzed by absorption spectra, emission spectra and Viscosity studies and Molecular Docking techniques. The absorption spectral study indicated that the copper(II) complexes of 1 and 2 had intrinsic binding constants with DNA or RNA in the range of 7.6 ± 0.2 × 103 M−1 or 6.5 ± 0.3 × 103M−1 and 5.7 ± 0.4 × 104 M−1 or 1.8 ± 0.5 × 103 M−1 respectively. The synthesized compounds and nucleic acids were simulated by molecular docking to explore more details mode of interaction of the complexes and their orientations in the active site of the receptor. Graphical Abstract Two mononuclear copper (II) complexes [Cu(L1)2] (1) and [Cu(L2)2] (2) have been synthesized from 2-hydroxy-5 (phenyldiazenyl)benzaldehyde and 1-(2-hydroxy-5-(phenyldiazenyl)phenyl)ethanone ligands. All these metal complexes are characterized using different spectroscopy technique and these two structures optimized theoretically. Nucleic acid binding studies are carried out with both Cu(II)-azo linked complexes and molecular docking technique are also performed to know best probable binding interaction mode with nucleic acid.
Using Analogy to Transfer Manipulation Skills

We are interested in the manipulation skills required by future service robots performing everyday tasks such as preparing food and cleaning in a typical home environment. Such robots must have a robust set of skills that can be applied in the unpredictable and varying circumstances that arise in everyday life. To succeed in such a setting, a service robot must have a strong ability to transfer old skills to new varied settings. We are inspired by the strong transfer ability demonstrated by infants and toddlers on simple manipulation activities, and we are motivated to try and replicate these abilities in an artiﬁcial system. We treat this as a problem of making analogies, and describe a theoretical framework which could account for it. We sketch the ideas of a computational model for implementing the required analogical reasoning.
Learning New Relations from Concept Ontologies Derived from Definitions

Systems that build general knowledge bases from concept deﬁnitions mostly focus on knowledge extraction techniques on a per-deﬁnition basis. But, deﬁnitions rely on subtext and other deﬁnitions to concisely encode a concept’s meaning. We present a probabilistic inference process where we systematically augment knowledge extracted from several WordNet glosses with sub-text and then infer likely states of the world. From those states we learn new semantic relations among properties, states, and events. We show that our system learns more relations than one without subtext and verify this knowledge using human evaluators.
Time- and Space-Varying Atmospheric Phase Correction in Discontinuous Ground-Based Synthetic Aperture Radar Deformation Monitoring

Ground-based synthetic aperture radar (GB-SAR) uses active microwave remote-sensing observation mode to achieve two-dimensional deformation measurement and deformation trend extraction, which shows great prospects in the field of deformation monitoring. However, in the process of GB-SAR deformation monitoring, the disturbances caused by atmospheric effect cannot be neglected, and the atmospheric phases will seriously affect the precision of deformation monitoring. In discontinuous GB-SAR deformation monitoring mode, the atmospheric phases are particularly affected by changes of time and space, so the traditional models of atmospheric phase correction are no longer applicable. In this paper, the interferometric phase signal model considering atmospheric phase is first established. Then, the time- and space-varying characteristics of the atmospheric phase are analyzed, and a novel time- and space-varying atmospheric phase correction algorithm, based on coherent scatterers analysis, is proposed. Finally, slope deformation monitoring experiments are carried out to verify the validity and robustness of the proposed algorithm.
Bayesian phylodynamic inference with complex models

Population genetic modeling can enhance Bayesian phylogenetic inference by providing a realistic prior on the distribution of branch lengths and times of common ancestry.The parameters of a population genetic model may also have intrinsic importance, and simultaneous estimation of a phylogeny and model parameters has enabled phylodynamic inference of population growth rates, reproduction numbers, and effective population size through time. Phylodynamic inference based on pathogen genetic sequence data has emerged as useful supplement to epidemic surveillance, however commonly-used mechanistic models that are typically fitted to non-genetic surveillance data are rarely fitted to pathogen genetic data due to a dearth of software tools, and the theory required to conduct such inference has been developed only recently. We present a framework for coalescent-based phylogenetic and phylodynamic inference which enables highly-flexible modeling of demographic and epidemiological processes. This approach builds upon previous structured coalescent approaches and includes enhancements for computational speed, accuracy, and stability. A flexible markup language is described for translating parametric demographic or epidemiological models into a structured coalescent model enabling simultaneous estimation of demographic or epidemiological parameters and time-scaled phylogenies. We demonstrate the utility of these approaches by fitting compartmental epidemiological models to Ebola virus and Influenza A virus sequence data, demonstrating how important features of these epidemics, such as the reproduction number and epidemic curves, can be gleaned from genetic data. These approaches are provided as an open-source package PhyDyn for the BEAST phylogenetics platform.