Miracle-dz/UniFAR-FTUs huggingface dataset:
Significance of intravascular coagulation and fibrinolysis in acute hepatic failure

Twenty-two patients with acute hepatic failure were studied to determine the incidence and magnitude of intravascular coagulation and fibrinolysis and their relation to the severity of bleeding and prognosis. The mean platelet count, Thrombotest, plasminogen activator, and plasminogen were reduced; the reduction in fibrinogen was not statistically significant. Fibrin/fibrinogen degradation products were only moderately increased. Hepatic fibrin deposition was not extensive, being present in 11 of 22 hepatic sections, more in areas of confluent necrosis than in the sinusoids. The combination of increased fibrin/fibrinogen degradation products with decreased plasminogen activator, plasminogen, and thrombocytopenia is consistent with a diagnosis of intravascular coagulation and secondary local fibrinolysis. However, neither of these processes was severe. Severity of bleeding was related only to plasminogen levels and prognosis only to Thrombotest levels. There was no relation between hepatic histological and haematological findings. Heparin therapy is not indicated in the routine management of acute hepatic failure, as intravascular coagulation is not severe and heparin may itself cause massive bleeding.
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web

Measuring semantic similarity between words is vital for various applications in natural language processing, such as language modeling, information retrieval, and document clustering. We propose a method that utilizes the information available on the Web to measure semantic similarity between a pair of words or entities. We integrate page counts for each word in the pair and lexico-syntactic patterns that occur among the top ranking snippets for the AND query using support vector machines. Experimental results on MillerCharles’ benchmark data set show that the proposed measure outperforms all the existing web based semantic similarity measures by a wide margin, achieving a correlation coefficient of 0.834. Moreover, the proposed semantic similarity measure significantly improves the accuracy ( F measure of0.78) in a named entity clustering task, proving the capability of the proposed measure to capture semantic similarity using web content.
The influence of the RGD peptide motif and its contextual presentation in PEG gels on human mesenchymal stem cell viability

An investigation was undertaken into the method of delivery of RGD peptide motifs to adult human mesenchymal stem cells (hMSCs) encapsulated in poly(ethylene glycol) (PEG) hydrogel systems. Previous studies have shown that the viability of hMSCs encapsulated in bio‐inert hydrogels, such as PEG‐based gels, decreases over time. hMSCs are an adhesive‐dependent cell type, requiring attachment sites to maintain their survival and function. The incorporation of tethered RGD peptide motifs was found to sustain a high level of hMSC survival in PEG gels. However, previous reports are largely limited to pendantly tethered RGD in gels; therefore, further investigation into hMSCs' affinity for and response to the contextual presentation of RGD was studied using varying methods of RGD attachment to the PEG gel, as well as delivery of soluble RGD peptides. Studies with encapsulated hMSCs showed that the constrained RGD peptide, bound via two links to the PEG gel, promoted ∼60% cell survival, while tethering the RGD as a pendant group, bound via a single link to the PEG gel, promoted ∼80% cell survival. Interestingly, incorporating a glycine spacer arm to the RGD pendant tether further enhanced survival to ∼88%. Investigations with solubly delivered peptides resulted in a dramatic decrease in cell viability with time, eventually leading to survival that was similar to that of unmodified PEG gels. Integrin staining for αvβ3 and α4, as well as focal adhesion staining, correlates to the trends in hMSC survival for covalently‐bound RGD motifs and a loss of viability for the solubly delivered peptide systems. Copyright © 2008 John Wiley & Sons, Ltd.
Online walking gait generation with adaptive foot positioning through Linear Model Predictive control

Building on previous propositions to generate walking gaits online through the use of linear model predictive control, the goal of this paper is to show that it is possible to allow on top of that a continuous adaptation of the positions of the foot steps, allowing the generation of stable walking gaits even in the presence of strong perturbations, and that this additional adaptation requires only a minimal modification of the previous schemes, especially maintaining the same linear model predictive form. Simulation results are proposed then on the HRP-2 humanoid robot, showing a significant improvement over the previous schemes.
Engaging Employees: The Importance of High-Performance Work Systems for Patient Safety

Objectives To develop and test survey items that measure high-performance work systems (HPWSs), report psychometric characteristics of the survey, and examine associations between HPWSs and teamwork culture, safety culture, and overall patient safety grade. Method We reviewed literature to determine dimensions of HPWSs and then asked executives to tell us which dimensions they viewed as most important for safety and quality. We then created a HPWSs survey to measure the most important HPWSs dimensions. We administered an anonymous, electronic survey to employees with direct patient care working at a large hospital system in the Southern United States and looked for linkages between HPWSs, culture, and outcomes. Results Similarities existed for the HPWS practices viewed as most important by previous researchers and health-care executives. The HPWSs survey was found to be reliable, distinct from safety culture and teamwork culture based on a confirmatory factor analysis, and was the strongest predictor of the extent to which employees felt comfortable speaking up about patient safety problems as well as patient safety grade. Conclusions We used information from a literature review and executive input to create a reliable and valid HPWSs survey. Future research needs to examine whether HPWSs is associated with additional safety and quality outcomes.
Structurally Unique Inhibitors of Human Mitogen-Activated Protein Kinase Phosphatase-1 Identified in a Pyrrole Carboxamide Library

Mitogen-activated protein kinase phosphatase 1 (MKP-1) is a tyrosine phosphatase superfamily member that dephosphorylates and inactivates cardinal mitogen-activated protein kinase (MAPK) substrates, such as p38, c-Jun NH2-terminal kinase, and extracellular signal-regulated kinase. Although these MAPK substrates regulate many essential cellular processes associated with human diseases, few pharmacological inhibitors have been described. The lack of readily available selective MKP-1 inhibitors has severely limited interrogation of its biological role and was one rationale for using a recently described tricyclic pyrrole-2-carboxamide library in our screening efforts. In this report we demonstrate the pharmacological richness of the pyrrole carboxamide library by the finding that 10 of 172 members inhibited human MKP-1. Two of the pyrrole carboxamides, PSI2106 and MDF2085, were especially notable in vitro inhibitors of recombinant human MKP-1 enzyme activity with IC50 values of 8.0 ± 0.9 and 8.3 ± 0.8 μM, respectively. Both showed some selectivity for MKP-1 over the closely related phosphatases MKP-3, Cdc25B, VHR, and PTP1B. Computational examination of the surface properties near the catalytic site revealed that the phosphatases studied differ significantly in their electrostatic potential at the substrate binding site. The compounds inhibited MKP-1 reversibly but displayed mixed kinetics. Phosphatase inhibition was retained in the presence of physiologically relevant concentrations of glutathione. Molecular docking studies suggested that PSI2106 may interact with His229 and Phe299 on MKP-1. These results reveal the power of using a small focused library for identifying pharmacological probes.
Baculovirus expression vectors: the requirements for high level expression of proteins, including glycoproteins.

The requirements for high level expression of three foreign proteins using the polyhedrin gene promoter of Autographa californica nuclear polyhedrosis virus (AcNPV, Baculoviridae) have been investigated. In Spodoptera frugiperda cells infected with the appropriate recombinant baculoviruses, the synthesis of the two S RNA coded genes of lymphocytic choriomeningitis virus (LCMV; i.e. the nucleoprotein, N, and glycoprotein precursor, GPC), or the haemagglutinin gene of influenza A virus, appears to be related to the degree of integrity of the 5' upstream sequence of the polyhedrin gene. No effect on the level of N protein expression was detected when all the polyhedrin gene coding sequences or some of the immediate 3' downstream sequences were deleted. Using the most efficient expression viruses derived from a new transfer vector, pAcYM1, it has been estimated that LCMV N protein represented approximately 50% of the total cellular protein, an observation consistent with the presence of numerous inclusion bodies in the cytoplasm of infected cells. For recombinant viruses derived from the pAcYM1 transfer vector containing the LCMV GPC gene, the level of synthesis of the arenavirus glycoprotein was equivalent to approximately 20% of the cellular protein. Thin sections of cells infected with the GPC recombinant revealed a highly vacuolated cytoplasm.
Exploring the Role of Productivity Propensity in Frontline Employee Performance: Its Relationship with Customer Orientation and Important Outcomes

Numerous studies have investigated the performance of frontline employees (FLEs) and how these employees influence organizational success. Because customer-perceived outcomes are important, much attention has been devoted to the customer orientation (CO) construct. The weak influence of CO on external measures, however, has led to numerous research questions. The current work addresses these questions by introducing a new construct, “productivity propensity,” while examining its relationship with CO and multiple outcome measures. Results from two distinct samples suggest that the construct is a valuable addition to the FLE literature.
EVALUATION OF CORRELATIONAL INFORMATION IN DIGITIZED CELL IMAGES

The processing of digitized cell images by computer may yield information not only about a set of cell image properties but also about their mutual dependencies. Observation of the covariance matrix of image properties of cellular material showing a response to chemotherapeutic treatment, ionizing radiation or antigenic challenge or following a developmental trend may permit a quantitative description of small trendal charges The covariance between certain cell image properties may show statistically significant changes before the mean values of the image properties are affected. Methods of reducing the dimensionality of the representation in an efficient manner are described.
Improving Adaptive Kalman Estimation in GPS/INS Integration

The central task of GPS/INS integration is to effectively blend GPS and INS data together to generate an optimal solution. The present data fusion algorithms, which are mostly based on Kalman filtering (KF), have several limitations. One of those limitations is the stringent requirement on precise a priori knowledge of the system models and noise properties. Uncertainty in the covariance parameters of the process noise (Q) and the observation errors (R) may significantly degrade the filtering performance. The conventional way of determining Q and R relies on intensive analysis of empirical data. However, the noise levels may change in different applications. Over the past few decades adaptive KF algorithms have been intensively investigated with a view to reducing the influence of the Q and R definition errors. The covariance matching method has been shown to be one of the most promising techniques. This paper first investigates the utilization of an online stochastic modelling algorithm with regards to its parameter estimation stability, convergence, optimal window size, and the interaction between Q and R estimations. Then a new adaptive process noise scaling algorithm is proposed. Without artificial or empirical parameters being used, the proposed adaptive mechanism has demonstrated the capability of autonomously tuning the process noise covariance to the optimal magnitude, and hence improving the overall filtering performance.
Facial Mimicry in Response to Song

We examined facial responses to audio-visual presentations of emotional singing. Although many studies have now found evidence for facial responses to emotional stimuli, most have involved static facial expressions and none have involved singing. Singing represents a dynamic ecologically valid emotional stimulus with unique demands on orofacial motion that are independent of emotion, related to pitch and linguistic production. Observers’ facial muscles were recorded with electromyography while they saw and heard recordings of a vocalist’s performance sung with different emotional intentions (happy, neutral, and sad). Audio-visual presentations successfully elicited facial mimicry in observers that were congruent with the performer’s intended emotions. Happy singing performances elicited increased activity in the zygomaticus major muscle region of observers, while sad performances evoked increased activity in the corrugator supercilii muscle region. These spontaneous facial muscle responses occurred within the first three seconds following onset of video presentation indicating that emotional nuances of singing performances can elicit dynamic facial responses from observers.
Cutting Edge: Ubiquitin-Specific Protease 4 Promotes Th17 Cell Function under Inflammation by Deubiquitinating and Stabilizing RORγt

RORγt is a key transcription factor that controls the development and function of inflammatory Th17. The mechanisms that regulate RORγt stability remain unclear. We report that Th17 cells highly express the deubiquitinase ubiquitin-specific protease (USP)4, which is essential for maintaining RORγt and Th17 cell function. Inhibition of the catalytic activity of USP4 with vialinin A, a compound derived from Chinese traditional medicine, dampened Th17 differentiation. USP4 interacted and deubiquitinated K48-linked polyubiquitination of RORγt, thereby promoting RORγt function and IL-17A transcription. Interestingly, TGF-β plus IL-6 enhanced USP4-mediated deubiquitination of RORγt. Moreover, USP4 and IL-17 mRNA, but not RORγt mRNA, were significantly elevated in CD4+ T cells from patients with rheumatic heart disease. Thus, USP4 could be a novel therapeutic target for the treatment of Th17-modulated autoimmune diseases.
The Unique Non-Catalytic C-Terminus of P37delta-PI3K Adds Proliferative Properties In Vitro and In Vivo

The PI3K/Akt pathway is central for numerous cellular functions and is frequently deregulated in human cancers. The catalytic subunits of PI3K, p110, are thought to have a potential oncogenic function, and the regulatory subunit p85 exerts tumor suppressor properties. The fruit fly, Drosophila melanogaster, is a highly suitable system to investigate PI3K signaling, expressing one catalytic, Dp110, and one regulatory subunit, Dp60, and both show strong homology with the human PI3K proteins p110 and p85. We recently showed that p37δ, an alternatively spliced product of human PI3K p110δ, displayed strong proliferation-promoting properties despite lacking the catalytic domain completely. Here we functionally evaluate the different domains of human p37δ in Drosophila. The N-terminal region of Dp110 alone promotes cell proliferation, and we show that the unique C-terminal region of human p37δ further enhances these proliferative properties, both when expressed in Drosophila, and in human HEK-293 cells. Surprisingly, although the N-terminal region of Dp110 and the C-terminal region of p37δ both display proliferative effects, over-expression of full length Dp110 or the N-terminal part of Dp110 decreases survival in Drosophila, whereas the unique C-terminal region of p37δ prevents this effect. Furthermore, we found that the N-terminal region of the catalytic subunit of PI3K p110, including only the Dp60 (p85)-binding domain and a minor part of the Ras binding domain, rescues phenotypes with severely impaired development caused by Dp60 over-expression in Drosophila, possibly by regulating the levels of Dp60, and also by increasing the levels of phosphorylated Akt. Our results indicate a novel kinase-independent function of the PI3K catalytic subunit.
Can visibility graphs Be represented compactly?

We consider the problem of representing the visibility graph of line segments as a union of cliques and bipartite cliques. Given a graphG, a familyG={G1,G2,. ,Gk} is called aclique cover ofG if (i) eachGi is a clique or a bipartite clique, and (ii) the union ofGi isG. The size of the clique coverG is defined as ∑i=1kni, whereni is the number of vertices inGi. Our main result is that there are visibility graphs ofn nonintersecting line segments in the plane whose smallest clique cover has size Ω(n2/log2n). An upper bound ofO(n2/logn) on the clique cover follows from a well-known result in extremal graph theory. On the other hand, we show that the visibility graph of a simple polygon always admits a clique cover of sizeO(nlog3n), and that there are simple polygons whose visibility graphs require a clique cover of size Ω(n logn).
Urban Policies and Mobility Trends in Italian Smart Cities

This study uses indicators to evaluate the progress made by Italian cities in the smart mobility sector, in order to understand how these cities have approached the new guidelines imposed by the European Union, and how they have implemented the European changes. Specifically, this study analyses the evolution of public transportation systems, using a sample of twenty-two Italian cities for three successive time periods (2005, 2010, and 2015). The outcomes identified are then linked to funding provided for the implementation of projects related to smart mobility in the cities studied, in order to verify possible correlations between the growth of these services and European and national financial investments. The data analysis shows remarkable progress in the field of sustainable mobility, especially between 2010 and 2015 as well as how this progress is linked to significant financial support that favours the realization of projects related to smart mobility.
Similarity search for multidimensional data sequences

Time series data, which are a series of one dimensional real numbers, have been studied in various database applications. We extend the traditional similarity search methods on time series data to support a multidimensional data sequence, such as a video stream. We investigate the problem of retrieving similar multidimensional data sequences from a large database. To prune irrelevant sequences in a database, we introduce correct and efficient similarity functions. Both data sequences and query sequences are partitioned into subsequences, and each of them is represented by a Minimum Bounding Rectangle (MBR). The query processing is based upon these MBRs, instead of scanning data elements of entire sequences. Our method is designed: (1) to select candidate sequences in a database, and (2) to find the subsequences of a selected sequence, each of which falls under the given threshold. The latter is of special importance in the case of retrieving subsequences from large and complex sequences such as video. By using it, we do not need to browse the whole of the selected video stream, but just browse the sub-streams to find a scene we want. We have performed an extensive experiment on synthetic, as well as real data sequences (a collection of TV news, dramas, and documentary videos) to evaluate our proposed method. The experiment demonstrates that 73-94 percent of irrelevant sequences are pruned using the proposed method, resulting in 16-28 times faster response time compared with that of the sequential search.
Structure Learning of Markov Logic Networks through Iterated Local Search

Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling complexity, and statistical AI on handling uncertainty. Markov Logic Networks (MLNs) are a powerful representation that combine Markov Networks (MNs) and first-order logic by attaching weights to first-order formulas and viewing these as templates for features of MNs. State-of-the-art structure learning algorithms of MLNs maximize the likelihood of a relational database by performing a greedy search in the space of candidates. This can lead to suboptimal results because of the incapability of these approaches to escape local optima. Moreover, due to the combinatorially explosive space of potential candidates these methods are computationally prohibitive. We propose a novel algorithm for learning MLNs structure, based on the Iterated Local Search (ILS) metaheuristic that explores the space of structures through a biased sampling of the set of local optima. The algorithm focuses the search not on the full space of solutions but on a smaller subspace defined by the solutions that are locally optimal for the optimization engine. We show through experiments in two real-world domains that the proposed approach improves accuracy and learning time over the existing state-of-the-art algorithms.
Headache and Recurrent Abdominal Pain: A Controlled Study by the Means Of The Child Behaviour Checklist (CBCL)

Headache and recurrent abdominal pain (RAP) are common disorders in children and adolescents, frequently referred to paediatricians. Both disorders show similarities in trigger and comorbid factors, their burden on family and individual life, and a paroxysmal trend with risks of chronicization over time. However, very few studies have compared directly headache and RAP. The main aim of this study was to compare the psychological profile of headache and RAP patients vs. healthy controls. A total of 210 children and adolescents [99 boys, 111 girls; age range 4-18 years; mean age (m.a.) = 11.04, SD 4.05] were assessed: 70 headache patients (m.a. 12.4 years; SD 2.9; F = 35, M = 35), 70 RAP patients (m.a. 9 years; SD 3.6; F = 30, M = 40) and 70 controls (m.a. 11.7 years; SD 4.6; F = 46, M = 24). The diagnoses had been made according to international systems of classification both for headache (ICHD-II criteria) and RAP (Rome II criteria). The psychological profile had been made according to the Child Behaviour Checklist 4-18 (CBCL). ANOVA one-way analysis was used to compare CBCL scales and subscales between groups. Headache and RAP showed a very similar trend vs. control for the main scales of the CBCL, with a statistically significant tendency to show problems in the Internalizing scale (anxiety, mood and somatic complaints) and no problems in the Externalizing (behavioural) scale. Only for the Attention Problems subscale migraineurs showed a significant difference compared with RAP. In conclusion, headache and RAP show a very similar psychological profile that should be considered not only for diagnostic and therapeutic purposes, but also from the aetiological aspect.
Educational software package for electromagnetic scattering from simple two and three dimensional canonical and non-canonical objects

This paper presents a software package designed as an educational tool for the purpose of visualizing the physical phenomena of electromagnetic scattering from some canonical and non-canonical objects. The package is constructed to provide solutions for dielectric and conductive materials wherever appropriate, and it calculates and displays the near and far fields due to an excitation from a line source or a plane wave.