Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributive Lattices from Graphs ( Extended Abstract )

Several instances of distributive lattices on graph structures are known. This includes c-orientations (Propp), α-orientations of planar graphs (Felsner/de Mendez) planar flows (Khuller, Naor and Klein) as well as some more special instances, e.g., spanning trees of a planar graph, matchings of planar bipartite graphs and Schnyder woods. We provide a characterization of upper locally distributive lattices (ULD-lattices) in terms of edge colorings of their Hasse diagrams. In many instances where a set of combinatorial objects carries the order structure of a lattice this characterization yields a slick proof of distributivity or UL-distributivity. This is exemplified by proving a distributive lattice structure on the ∆-bonds of a graph. All the previously known instances of distributive lattices from graphs turn out to be special ∆-bond lattices. Let a D-polytope be a polytope that is closed under componentwise max and min, i.e., the points of the polytope are an infinite distributive lattice. A characterization of D-polytopes reveals that each D-polytope has an underlying graph model. The associated graph models have two descriptions either edge based or vertex based.
Aging in Europe: a cluster analysis of the elderly in 4 European countries according to their views on successful aging

Introduction: Concepts like “healthy aging,” “successful aging,” “aging with high functional ability” or “aging well” have been used increasingly in the last few years. Objective: The main goal of our survey was to describe the representation of pleasure and their patterns in people aged 65 and older in 4 European countries. Our second aim was to study the characteristics of each country regarding successful aging. Methods: This cross-sectional study including >4000 seniors was based on an online survey conducted with people aged 65 and older in 4 European countries: France, Belgium, Italy, and Germany. Our sample was representative of the population aged 65 and older in each of the countries surveyed. The survey took place from August 20 to September 29, 2014. Results: Cluster analysis led us to define 6 profiles of elderly people with regards to “living well, aging well. ” The profiles ranged from “fragile and aged” to “familial hedonist” with “socially inclined” and “independent” elders falling in the middle. Groups were not evenly distributed across countries, suggesting geographic variations in the process of aging. Discussion: “Aging well” is a complex concept, and people from different countries have varying expectations of successful aging. Conclusion: Further studies are needed to determine how tailored interventions can best address the needs of elderly people with different views and expectations regarding successful aging.
Persian Accents Identification Using an Adaptive Neural Network

Speaker's accent can reduce the performance of automatic speech recognition systems. This paper considered Persian accent identification using a model includes preprocessing, feature extraction and neural networks. Samples are from five different Persian accents. The performance of the neural networks as an adaptive approach is compared with two statistical approaches. The effect of increasing the number of accents in performance is shown here too.
Optimized cassettes for fluorescent protein tagging in Saccharomyces cerevisiae

Green fluorescent protein (GFP) has become an increasingly popular protein tag for determining protein localization and abundance. With the availability of GFP variants with altered fluorescence spectra, as well as GFP homologues from other organisms, multi‐colour fluorescence with protein tags is now possible, as is measuring protein interactions using fluorescence resonance energy transfer (FRET). We have created a set of yeast tagging vectors containing codon‐optimized variants of GFP, CFP (cyan), YFP (yellow), and Sapphire (a UV‐excitable GFP). These codon‐optimized tags are twice as detectable as unoptimized tags. We have also created a tagging vector containing the monomeric DsRed construct tdimer2, which is up to 15‐fold more detectable than tags currently in use. These tags significantly improve the detection limits for live‐cell fluorescence imaging in yeast, and provide sufficient distinguishable fluorophores for four‐colour imaging. Copyright © 2004 John Wiley & Sons, Ltd.
Elasticity and glocality: initiation of embryonic inversion in Volvox

Elastic objects across a wide range of scales deform under local changes of their intrinsic properties, yet the shapes are glocal, set by a complicated balance between local properties and global geometric constraints. Here, we explore this interplay during the inversion process of the green alga Volvox, whose embryos must turn themselves inside out to complete their development. This process has recently been shown to be well described by the deformations of an elastic shell under local variations of its intrinsic curvatures and stretches, although the detailed mechanics of the process have remained unclear. Through a combination of asymptotic analysis and numerical studies of the bifurcation behaviour, we illustrate how appropriate local deformations can overcome global constraints to initiate inversion.
The Extended Chandra Deep Field-South Survey: X-Ray Point-Source Catalog

The Extended Chandra Deep Field-South (ECDFS) survey consists of four Chandra X-Ray Observatory ACIS-I pointings and covers ≈1100 arcmin2 (≈0.3 deg2) centered on the original CDF-S field to a depth of approximately 228 ks. This is the largest Chandra survey ever conducted at such depth, and only one XMM-Newton survey reaches a lower flux limit in the hard 2.0-8.0 keV band. We detect 651 unique sources: 587 using a conservative source-detection threshold and 64 using a lower source-detection threshold. These are presented as two separate catalogs. Of the 651 total sources, 561 are detected in the full 0.5-8.0 keV band, 529 in the soft 0.5-2.0 keV band, and 335 in the hard 2.0-8.0 keV band. For point sources near the aim point, the limiting fluxes are approximately 1.7 × 10-16 and 3.9 × 10-16ergs cm-2 s-1 in the 0.5-2.0 and 2.0-8.0 keV bands, respectively. Using simulations, we determine the catalog completeness as a function of flux and assess uncertainties in the derived fluxes due to incomplete spectral information. We present the differential and cumulative flux distributions, which are in good agreement with the number counts from previous deep X-ray surveys and with the predictions from an active galactic nucleus (AGN) population synthesis model that can explain the X-ray background. In general, fainter sources have harder X-ray spectra, consistent with the hypothesis that these sources are mainly obscured AGNs.
Differences in Innovative Work Behaviour and Everyday Work Role Performance of Employees: An Empirical Investigation

Faculty of M anagement, Universiti Teknologi M alaysia, Skudai, 81310, M alaysia Abstract This paper aims to examine the differences in innovative work behaviour and everyday work role performance fro m an automotive industry perspective. Exp loratory factor was unable to replicate the findings of the previous mu lti -dimensional innovative work behaviour and three-factor work ro le performance. Instead, evidence shows support for a single-factor model and two-factor model respectively. Pearson correlation coefficient and multip le regression analysis were used to test hypothesis relationship between the variables. Innovative work behaviour and work role performance could benefit fro m the influence of culture and races, use of different research instruments and longitude studies examin ing the effects arising fro m various stages of change or organisational restructuring. Co mparative benchmarking between various industrial sectors could highlight fu rther differences in both these two constructs. The findings support the relationship and influence of innovative work behaviour towards work ro le performance. Developing innovative work behaviour as part of the everyday job function is the main pred ictor of work ro le perfo rmance.
New Visuality in Art/Science: A Pedagogy of Connection for Cognitive Growth and Creativity

ABSTRACT New visuality in art/science pedagogies challenges teachers to rethink their curriculum and the role of digital new media in facilitating conceptual thinking and the role of the creative representation of knowledge. Recent neuroscientific research on cognition, perception, memory, and emotion inform and provoke implications for 21st-century learning. Analysis of student artwork uncovers pedagogical challenges for teachers. Teachers use visual learning and its forms of higher process thinking to allow students to make cognitive connections with images, giving them the capacity to integrate concepts for the communication of art/science learning. Examples of student learning from years 3–5 and 15–17 illustrate these ideas.
Dielectrophoresis in microfluidics technology

Dielectrophoresis (DEP) is the movement of a particle in a non‐uniform electric field due to the interaction of the particle's dipole and spatial gradient of the electric field. DEP is a subtle solution to manipulate particles and cells at microscale due to its favorable scaling for the reduced size of the system. DEP has been utilized for many applications in microfluidic systems. In this review, a detailed analysis of the modeling of DEP‐based manipulation of the particles is provided, and the recent applications regarding the particle manipulation in microfluidic systems (mainly the published works between 2007 and 2010) are presented.
Supporting Service Adaptation in Fault Tolerant Internet of Things

This paper presents a sensing device adaptation scheme for fault-tolerant IoT using the service-oriented architecture. In IoT, there are many sensors deployed for different purposes. Sensors of different modalities may be used to enhance the system fault tolerance. We propose the concept of virtual services which use data from more than one sensor devices to replace an actual service on some faulty device. We do regression analysis to identify and generate virtual services using available sensors. Depending on the sensor correlation types, we can use with recursive least squares (RLS) or multivariate adaptive regression splines (MARS) for virtual service generation. We have also modeled the mapping problem from application workflow to actual sensor deployments as a multiobjective optimization problem, and studied the genetic algorithm NSGA-ii to find the optimal actual or virtual sensor selections. Finally, we present a system engineering process for building fault tolerant IoT.
The Origin of Raman D Band: Bonding and Antibonding Orbitals in Graphene

In Raman spectroscopy of graphite and graphene, the D band at ∼ 1355 cm−1 is used as the indication of the dirtiness of a sample. However, our analysis suggests that the physics behind the D band is closely related to a very clear idea for describing a molecule, namely bonding and antibonding orbitals in graphene. In this paper, we review our recent work on the mechanism for activating the D band at a graphene edge.
Distributed modulo scheduling

Wide-issue ILP machines can be built using the VLIW approach as many of the hardware complexities found in superscalar processors can be transferred to the compiler. However, the scalability of VLIW architectures is still constrained by the size and number of ports of the register file required by a large number of functional units. Organizations composed of clusters of a few functional units and small private register files have been proposed to deal with this problem; an approach highly dependent on scheduling and partitioning strategies. The paper presents DMS, an algorithm that integrates modulo scheduling and code partitioning in a single procedure. Experimental results have shown that the algorithm is effective for configurations up to 8 clusters, or even more when targeting vectorizable loops.
Service-Oriented Medical System for Supporting Decisions With Missing and Imbalanced Data

In this paper, we propose a service-oriented support decision system (SOSDS) for diagnostic problems that is insensitive to the problems of the imbalanced data and missing values of the attributes, which are widely observed in the medical domain. The system is composed of distributed Web services, which implement machine-learning solutions dedicated to constructing the decision models directly from the datasets impaired by the high percentage of missing values of the attributes and imbalanced class distribution. The issue of the imbalanced data is solved by the application of a cost-sensitive support vector machine and the problem of missing values of attributes is handled by proposing the novel ensemble-based approach that splits the incomplete data space into complete subspaces that are further used to construct base learners. We evaluate the quality of the SOSDS components using three ontological datasets.
Estimation of Agonist Activity at G Protein-Coupled Receptors: Analysis of M2 Muscarinic Receptor Signaling through Gi/o,Gs, and G15

We developed novel methods for analyzing the concentration-response curve of an agonist to estimate the product of observed affinity and intrinsic efficacy, expressed relative to that of a standard agonist. This parameter, termed intrinsic relative activity (RAi), is most applicable for the analysis of responses at G protein-coupled receptors. RAi is equivalent to the potency ratios that agonists would exhibit in a hypothetical, highly sensitive assay in which all agonists behave as full agonists, even those with little intrinsic efficacy. We investigated muscarinic responses at the M2 receptor, including stimulation of phosphoinositide hydrolysis through Gα15 in HEK 293T cells, inhibition of cAMP accumulation through Gi in Chinese hamster ovary (CHO) cells, and stimulation of cAMP accumulation through Gs in CHO cells treated with pertussis toxin. The RAi values of carbachol, oxotremorine-M, and the enantiomers of aceclidine were approximately the same in the three assay systems. In contrast, the activity of 4-[[N-[3-chlorophenyl]carbamoy]oxy-2-butynyl]trimethylammonium chloride (McN-A-343) was ∼10-fold greater at M2 receptors coupled to Gα15 in HEK 293T cells compared with M2 receptors coupled to Gi in the same cells or in CHO cells. Our results show that the RAi estimate is a useful measure for quantifying agonist activity across different assay systems and for detecting agonist directed signaling.
Lysophosphatidic Acid Inhibits Apoptosis Induced by Cisplatin in Cervical Cancer Cells

Cervical cancer is the second most common cause of cancer death in women worldwide. Lysophosphatidic acid (LPA) level has been found significantly increased in the serum of patients with ovarian, cervical, and colon cancers. LPA level in cervical cancer patients is significantly higher than in healthy controls. LPA receptors were found highly expressed in cervical cancer cells, suggesting LPA may play a role in the development of cervical cancer. The aim of this study is to investigate the effect of LPA on the apoptosis induced by cisplatin (DDP) in cervical cancer cell line and the underlying changes in signaling pathways. Our study found that cisplatin induced apoptosis of Hela cell through inhibiting expression of Bcl-2, upregulating the expression of Bax, Fas-L, and the enzyme activity of caspase-3 (p < 0.05); LPA significantly provided protection against the apoptosis induced by cisplatin by inhibiting the above alterations in apoptotic factor caused by cisplatin (p < 0.05). Moreover, PI3K/AKT pathway was found to be important for the LPA antiapoptosis effect, and administration of PI3K/AKT partially reversed the LPA-mediated protection against cisplatin-induced apoptosis (p < 0.05). These findings have shed new lights on the LPA bioactivity in cervical cancer cells and pointed to a possible sensitization scheme through combined administration of PI3K inhibitor and cisplatin for better treatment of cervical cancer patients, especially those with elevated LPA levels.
Correlations and Scaling Laws in Human Mobility

Background In recent years, several path-breaking findings on human mobility patterns point out a novel issue which is of important theoretical significance and great application prospects. The empirical analysis of the data which can reflect the real-world human mobility provides the basic cognition and verification of the theoretical models and predictive results on human mobility. One of the most noticeable findings in previous studies on human mobility is the wide-spread scaling anomalies, e.g. the power-law-like displacement distributions. Understanding the origin of these scaling anomalies is of central importance to this issue and therefore is the focus of our discussion. Methodology/Principal Findings In this paper, we empirically analyze the real-world human movements which are based on GPS records, and observe rich scaling properties in the temporal-spatial patterns as well as an abnormal transition in the speed-displacement patterns together with an evidence to the real-world traffic jams. In addition, we notice that the displacements at the population level show a significant positive correlation, indicating a cascading-like nature in human movements. Furthermore, our analysis at the individual level finds that the displacement distributions of users with stronger correlations usually are closer to the power law, suggesting a correlation between the positive correlation of the displacement series and the form of an individual's displacement distribution. Conclusions/Significance These empirical findings make connections between the two basic properties of human mobility, the scaling anomalies on displacement distributions and the positive correlations on displacement series, implying the cascading-like dynamics which is exhibited by the positive correlations would cause the emergence of scaling properties on human mobility patterns. Our findings would inspire further researches on mechanisms and predictions of human mobility.
From the laboratory to the real world : Evaluating the impact of impostors, expertise and individual differences on human face matching performance.

xi Declaration . xiii Acknowledgments. xiv Chapter 1 Understanding Applied One-to-One Face Matching Performance. 16 1.1 Face Recognition: An Overview. 22 1.2 Face Matching: Definition and Application. 25 1.2.1 Surveillance: Identification or One-to-Many Face Matching. 27 1.2.2 Access Control: Verification or One-to-One Face Matching . 29 1.3 Current Research Aims: Factors Considered. 36 Chapter 2 The Human Operator . 42 2.1 Human Operator Performance. 42 2.1.1 Face Processing . 44 2.2 Factors that Impact Human Operator Face Matching Performance. 49 2.2.1 Image and Environment Specific Factors. 50 2.2.2 Individual Specific Factors. 55 2.2. 3 Human Operator Specific Factors . 61 2.2. 4 The Impact of Impostors . 70 2.2. 5 Experimental versus Live Evaluations . 72
Differences in Work Values by Gender and Generation: Evidence from Egypt

This research was built on the previous research titled “The Mediating Role of Work Values in the Relationship between Islamic Religiosity and Job Performance: Empirical Evidence from Egyptian Public Health Sector” (2017) and continued to examine work values differences based on gender and generation. A quota sampling procedure was used to survey (400) participants in (10) public Egyptian hospitals. The positive response rate of the target population was (83.75%). Work values were measured using Lyon Work Values Survey (LWVS) revised 25-item scale to assess four types of work values, namely, instrumental values, cognitive values, social/altruistic values, and prestige values. It also ranked the importance of each of these 25-items according to gender and age. A confirmatory factor analysis, using AMOS 20, was conducted to confirm the factor structure of the used scale on the target population. The Findings revealed that there exists a similarity on the high importance of instrumental work values to both males and females, in all age groups. Dissimilarities are more apparent among other types of work values based on gender and generations. These results suggested that understanding work values differences based on these two demographic factors have a significant impact on the improvement of human resources practices and the development of management theory.
Nicotinic Acid Increases Adiponectin Secretion from Differentiated Bovine Preadipocytes through G-Protein Coupled Receptor Signaling

The transition period in dairy cows (3 weeks prepartum until 3 weeks postpartum) is associated with substantial mobilization of energy stores, which is often associated with metabolic diseases. Nicotinic acid (NA) is an antilipolytic and lipid-lowering compound used to treat dyslipidaemia in humans, and it also reduces non-esterified fatty acids in cattle. In mice the G-protein coupled receptor 109A (GPR109A) ligand NA positively affects the secretion of adiponectin, an important modulator of glucose and fat metabolism. In cattle, the corresponding data linking NA to adiponectin are missing. Our objective was to examine the effects of NA on adiponectin and AMPK protein abundance and the expression of mRNAs of related genes such as chemerin, an adipokine that enhances adiponectin secretion in vitro. Differentiated bovine adipocytes were incubated with pertussis toxin (PTX) to verify the involvement of GPR signaling, and treated with 10 or 15 µM NA for 12 or 24 h. NA increased adiponectin concentrations (p ≤ 0.001) and the mRNA abundances of GPR109A (p ≤ 0.05) and chemerin (p ≤ 0.01). Pre-incubation with PTX reduced the adiponectin response to NA (p ≤ 0.001). The NA-stimulated secretion of adiponectin and the mRNA expression of chemerin in the bovine adipocytes were suggestive of GPR signaling-dependent improved insulin sensitivity and/or adipocyte metabolism in dairy cows.
Bidirectional Regulation of the cAMP Response Element Binding Protein Encodes Spatial Map Alignment in Prism-Adapting Barn Owls

The barn owl midbrain contains mutually aligned maps of auditory and visual space. Throughout life, map alignment is maintained through the actions of an instructive signal that encodes the magnitude of auditory-visual mismatch. The intracellular signaling pathways activated by this signal are unknown. Here we tested the hypothesis that CREB (cAMP response element-binding protein) provides a cell-specific readout of instructive information. Owls were fitted with prismatic or control spectacles and provided rich auditory-visual experience: hunting live mice. CREB activation was analyzed within 30 min of hunting using phosphorylation state-specific CREB (pCREB) and CREB antibodies, confocal imaging, and immunofluorescence measurements at individual cell nuclei. In control owls or prism-adapted owls, which experience small instructive signals, the frequency distributions of pCREB/CREB values obtained for cell nuclei within the external nucleus of the inferior colliculus (ICX) were unimodal. In contrast, in owls adapting to prisms or readapting to normal conditions, the distributions were bimodal: certain cells had received a signal that positively regulated CREB and, by extension, transcription of CREB-dependent genes, whereas others received a signal that negatively regulated it. These changes were restricted to the subregion of the inferior colliculus that received optically displaced input, the rostral ICX, and were not evident in the caudal ICX or central nucleus. Finally, the topographic pattern of CREB regulation was patchy, not continuous, as expected from the actions of a topographically precise signal encoding discrete events. These results support a model in which the magnitude of CREB activation within individual cells provides a readout of the instructive signal that guides plasticity and learning.