Miracle-dz/UniFAR-FTUs huggingface dataset:
On the quadratic stability of uncertain systems in the presence of time-delays

This paper considers the problem of quadratic stability of uncertain linear systems. The uncertainty includes a structured one. consisting of unknown but bounded parameter variations (possibly time-dependent), and the presence of unknown distributed time-delays. It is well known that an uncertain system without delays can be stabilized for all parameter variations of a given class by using a so-called "quadratically" stabilizing control law. In the present paper, it is shown that, under a sufficient condition relating the structured uncertainty and the time-delay. that control law stabilizes the delayed system as well.
Cytokinesis microtubule organisers at a glance

Cytokinesis is a fundamental step of cell proliferation, and its high-fidelity completion is crucial for stable maintenance of the genome (Ganem et al., 2007; Lacroix and Maddox, 2012). Anti-parallel microtubule bundle structures such as the central spindle and the midbody play various important roles throughout cytokinesis, from positioning of cleavage furrow to final separation of the two daughter cells (Barr and Gruneberg, 2007; Glotzer, 2009; Fededa and Gerlich, 2012). Although a large number of different factors that are important for abscission, including membrane trafficking machinery, localise to the midzone during cytokinesis (Caballe and Martin-Serrano, 2011; Guizetti and Gerlich, 2010; Neto and Gould, 2011), here we focus on the current understanding of protein–protein interactions between microtubule organisers and their regulators that form cytokinetic microtubule structures.
Assessing the Impact of Case Sensitivity and Term Information Gain on Biomedical Concept Recognition

Concept recognition (CR) is a foundational task in the biomedical domain. It supports the important process of transforming unstructured resources into structured knowledge. To date, several CR approaches have been proposed, most of which focus on a particular set of biomedical ontologies. Their underlying mechanisms vary from shallow natural language processing and dictionary lookup to specialized machine learning modules. However, no prior approach considers the case sensitivity characteristics and the term distribution of the underlying ontology on the CR process. This article proposes a framework that models the CR process as an information retrieval task in which both case sensitivity and the information gain associated with tokens in lexical representations (e.g., term labels, synonyms) are central components of a strategy for generating term variants. The case sensitivity of a given ontology is assessed based on the distribution of so-called case sensitive tokens in its terms, while information gain is modelled using a combination of divergence from randomness and mutual information. An extensive evaluation has been carried out using the CRAFT corpus. Experimental results show that case sensitivity awareness leads to an increase of up to 0.07 F1 against a non-case sensitive baseline on the Protein Ontology and GO Cellular Component. Similarly, the use of information gain leads to an increase of up to 0.06 F1 against a standard baseline in the case of GO Biological Process and Molecular Function and GO Cellular Component. Overall, subject to the underlying token distribution, these methods lead to valid complementary strategies for augmenting term label sets to improve concept recognition.
A Humanized Anti-VEGF Rabbit Monoclonal Antibody Inhibits Angiogenesis and Blocks Tumor Growth in Xenograft Models

Rabbit antibodies have been widely used in research and diagnostics due to their high antigen specificity and affinity. Though these properties are also highly desirable for therapeutic applications, rabbit antibodies have remained untapped for human disease therapy. To evaluate the therapeutic potential of rabbit monoclonal antibodies (RabMAbs), we generated a panel of neutralizing RabMAbs against human vascular endothelial growth factor-A (VEGF). These neutralizing RabMAbs are specific to VEGF and do not cross-react to other members of the VEGF protein family. Guided by sequence and lineage analysis of a panel of neutralizing RabMAbs, we humanized the lead candidate by substituting non-critical residues with human residues within both the frameworks and the CDR regions. We showed that the humanized RabMAb retained its parental biological properties and showed potent inhibition of the growth of H460 lung carcinoma and A673 rhabdomyosarcoma xenografts in mice. These studies provide proof of principle for the feasibility of developing humanized RabMAbs as therapeutics.
A review and analysis of the relationship between neuropsychological measures and DAT1 in ADHD

Meta‐analyses indicate that the gene coding for the dopamine transporter (DAT1 or SLC6A3) is associated with an increased risk for ADHD. The mechanisms of this gene for ADHD are unclear. We systematically reviewed studies linking the VNTR in the 3′ UTR of the DAT1 to neurophysiological and neuropsychological measures. In addition, a broad set of executive/cognitive and motor tests was administered to 350 children (5–11 years) and adolescents (11–19 years) with ADHD and 195 non‐affected siblings. Two VNTRs (in intron 8 and the 3′ UTR) and four SNPs (two 5′ and two 3′) in DAT1 were genotyped. The effect of the polymorphisms on neuropsychological functioning was studied. The review indicated that the majority of studies did not find a relation between DAT1 and neurophysiological or neuropsychological measures. In our sample, several of the polymorphisms of DAT1 were associated with ADHD and ADHD was associated with impaired neuropsychological functioning. However, none of the DAT1 polymorphisms was convincingly associated with neuropsychological dysfunctioning. This suggests that the effect of DAT1 on ADHD was not mediated by neuropsychological performance. However, since DAT1 is mainly expressed in the striatum and not the prefrontal cortex, it may influence striatum‐related functions (such as delay aversion) more heavily than prefrontal related functions (such as executive functions). Associations of DAT1 with ADHD were only found in adolescents, which may suggest that DAT1 mainly exerts its effect in adolescence, and/or that having a more persistent form of ADHD may mark a more severe or homogeneous genetic form of the disorder. © 2008 Wiley‐Liss, Inc.
Selecting negative examples for hierarchical text classification: An experimental comparison

Hierarchical text classification (HTC) approaches have recently attracted a lot of interest on the part of researchers in human language technology and machine learning, since they have been shown to bring about equal, if not better, classification accuracy with respect to their “flat” counterparts while allowing exponential time savings at both learning and classification time. A typical component of HTC methods is a “local” policy for selecting negative examples: Given a category c, its negative training examples are by default identified with the training examples that are negative for c and positive for the categories which are siblings of c in the hierarchy. However, this policy has always been taken for granted and never been subjected to careful scrutiny since first proposed 15 years ago. This article proposes a thorough experimental comparison between this policy and three other policies for the selection of negative examples in HTC contexts, one of which (BESTLOCAL(k )) is being proposed for the first time in this article. We compare these policies on the hierarchical versions of three supervised learning algorithms (boosting, support vector machines, and naïve Bayes) by performing experiments on two standard TC datasets, REUTERS-21578 and RCV1-V2.
Feature Description and Feature Interaction Analysis with Use Case Maps and LOTOS

A methodology for feature design, specification, and validation is presented. The methodology is based on Use Case Maps for the description of features and on LOTOS with its tools for animation of the features, for feature validation, and for feature interaction detection. It has been developed as a collaborative project between the University of Ottawa and Mitel Corporation, and is being used experimentally to design, specify and validate the features of Mitel’s
Skin tolerance: in search of the Holy Grail

In 1943, Gibson and Medawar opened the modern era of transplantation research with a paper on the problem of skin allograft rejection. Ten years later Billingham, Brent and Medawar demonstrated that it was possible to induce selective immune acceptance of skin grafts in mice, a state of tolerance. After over six decades, however, the precise mechanism of skin allograft rejection remains still ill‐defined. Furthermore, it has not been possible to achieve reliably clinical tolerance allowing the widespread application of skin allotransplantation techniques. The first successful applications of skin allotransplantation have included the hand and face. However, complications from the chronic immunosuppression regimens limit the application of these techniques. Induction of tolerance to skin (and the other tissues in the allograft) would be the most effective way to overcome all these difficulties, but this is yet to be achieved reliably, stimulating some to look for other ways to surmount the current limitations. This paper summarizes alternatives to enlarge the scope of skin allotransplantation techniques, current understanding of mechanisms of skin rejection, and the utility and limitations of animal models used to study skin rejection and tolerance induction. Finally, manipulation strategies to achieve skin tolerance are outlined.
Subversion of immunoproteasome subunit expression in dengue virus serotype 2-infected HepG2 cells.

INTRODUCTION: Infection with all serotypes of dengue virus (DV) results in augmented antigen presentation by MHC class I molecules. However, the upregulation of immunoproteasome subunits only results from infection with two serotypes. This study aims to elucidate changes in the expression of immunoproteasome subunits resulting from infection with DV, particularly DV serotype 2 (DV2). METHODS: HepG2 cells were grown in various culture milieu. Total cellular RNA and proteins were extracted and quantified. RESULTS: Results demonstrated sequestration of immunoproteasome subunits LMP2 and LMP7 in DV2-infected cells. CONCLUSIONS: This study provides insights into the mechanisms underlying immune evasion by DV.
Overcoming limited dataset availability when working with industrial organisations

Increasing data security and privacy requirements combined with the need for additional data management research leads to a conflict for industrial companies. In order to solve their industrial data management problems companies need to share some of their data, but their internal confidentiality rules sometimes hamper this sharing process. Existing techniques for sharing data without releasing company secrets often loose some of the problems/characteristics within the data. This paper therefore presents a qualitative process to overcome this problem of industrial data sharing while still enabling external researchers to develop relevant solutions to organizational problems. It is based on initial trials with two industrial case studies and showed some promising results.
3-Designs from PGL(2, q)

The group PGL$(2,q)$, $q=p^n$, $p$ an odd prime, is $3$-transitive on the projective line and therefore it can be used to construct $3$-designs. In this paper, we determine the sizes of orbits from the action of PGL$(2,q)$ on the $k$-subsets of the projective line when $k$ is not congruent to $0$ and 1 modulo $p$. Consequently, we find all values of $\lambda$ for which there exist $3$-$(q+1,k,\lambda)$ designs admitting PGL$(2,q)$ as automorphism group. In the case $p\equiv 3$ mod 4, the results and some previously known facts are used to classify 3-designs from PSL$(2,p)$ up to isomorphism.
ANALISIS FAKTOR-FAKTOR INDIVIDUAL DALAM PENGAMBILAN KEPUTUSAN ETIS OLEH KONSULTAN PAJAK (Kajian Empiris pada Konsultan Pajak di KAP di Kota Semarang)

This research is modified from research that have been done by Richmond (2001) and Shafer dan Simmons (2008). The aim of this research is to test the effects of three individual factors, namely machiavellian behaviour, perceived role of ethics and social responsibility, and ethical reasoning on the ethical decision making of the tax advisors. The survey method was conducted on this research, based on a survey of public accounting firms’ tax advisors in Semarang. This research used purposive sampling method, among sample of 27 men and 17 women. Hypothesis test using the SPSS’ regression analysis. The results showed that from three individual factors tested on this research, there were two variables that affect significantly on tax advisors’ ethical decision making, namely machiavellian behaviour and perceived role of ethics and social responsibility. However ethical reasoning did not have impact on tax advisors’ ethical decision making.
Efficient vector and parallel manipulation of tensor products

We present efficient vector and parallel methods formanipulating tensor products of matrices. We consider bothcomputing the matrix-vector product (A<sub>1</sub><font face="Symbol">Ä</font><font face="Symbol">¼</font><fontface="Symbol">Ä</font>A<sub>K</sub>)x and solving the systemof linear equations (A<sub>1</sub><font face="Symbol">Ä</font><font face="Symbol">¼</font><fontface="Symbol">Ä</font>A<sub>K</sub>)x=b. The methods describedare independent of <i>K</i>. We accompany this article with acompanion algorithm which describes an implementation of a completeset of tensor product routines based on LAPACK and the Level 2 and3 Basic Linear Algebra Subprograms (BLAS) which providevectorization and parallelization.
TRACING EFFICIENT PATH USING WEB PATH TRACING

In the fast improving society, people depend on online purchase of goods than spending time physically. So there are lots of resources emerged for this online buying and selling of materials. Efficient and attractive web sites would be the best to sell the goods to people. To know whether a web site is reaching the mind of the customers or not, a high speed analysis is done periodically by the web developers. This works helps for the web site developers in knowing the weaker and stronger section of their web site. Parameters like frequency and utility are used for quantitative and qualitative analysis respectively. Addition to this down loads, book marks and the like/dislike of the particular web site is also considered. A new web path trace tree structure is implemented. A mathematical implementation is done to predict the efficient pattern used by the web site visitors.
The Central Effect of β-Endorphin and Naloxone on the Expression of GnRH Gene and GnRH Receptor (GnRH-R) Gene in the Hypothalamus, and on GnRH-R Gene in the Anterior Pituitary Gland in Follicular Phase Ewes

The effect of prolonged intermittent infusion of beta-endorphin or naloxone into the third cerebral ventricle in ewes during the follicular phase of the estrous cycle on the expression of GnRH gene and GnRH-R gene in the hypothalamus and GnRH-R gene in the anterior pituitary gland was examined by Real time-PCR. Activation of micro opioid receptors decreased GnRH mRNA levels in the hypothalamus and led to complex changes in GnRH-R mRNA: an increase of GnRH-R mRNA in the preoptic area, no change in the anterior hypothalamus and decrease in the ventromedial hypothalamus and stalk/median eminence. In beta-endorphin treated ewes the levels of GnRH-R mRNA in the anterior pituitary gland also decreased significantly. These complex changes in the levels of GnRH mRNA and GnRH-R mRNA were reflected in the decrease of LH secretion. Blockade of micro opioid receptors affected neither GnRH mRNA and GnRH-R mRNA nor LH levels secretion. These results indicate that beta-endorphin displays a suppressive effect on the expression of the GnRH gene in the hypothalamus and GnRH-R gene in the anterior pituitary gland, but affects GnRH-R gene expression in a specific manner in the various parts of hypothalamus; altogether these events lead to the decrease in GnRH/LH secretion.
Human-Machine Problem Solving Using Spoken Language Systems (SLS): Factors Affecting Performance and User Satisfaction

We have analyzed three factors affecting user satisfaction and system performance using an SLS implemented in the ATIS domain. We have found that: (1) trade-offs between speed and accuracy have different implications for user satisfaction; (2) recognition performance improves over time, at least in part because of a reduction in sentence perplexity; and (3) hyperarticulation increases recognition errors, and while instructions can reduce this behavior, they do not result in improved recognition performance. We conclude that while users may adapt to some aspects of an SLS, certain types of user behavior may require technological solutions.
Gold-Mediated Modification of Apoferritin Surface with Targeting Antibodies

To ensure targeting of apoferritin nanocarrier with encapsulated doxorubicin drug, we used a peptide linker based on a protein G with N-terminus affinity towards Fc region of antibodies. To connect the peptide to the surface of apoferritin, the C-terminus of peptide was made of cysteine with affinity to gold. The surface of apoferritin with encapsulated doxorubicin (APODOX) was coated either with gold nanoparticles (APODOX-Nano) or gold(III) chloride hydrate reduced with sodium borohydride (APODOX-HAu). The reduction with sodium borohydride caused a loss of doxorubicin fluorescent properties and probably accompanied with the loss of its biological activity. Fluorescent properties of APODOX-Nano were similar to the unmodified APODOX; therefore it was more suited for the intended use. To evaluate the specificity of apoferritin modified with antibodies, ELISA-like method was used with the surface of microtitration plate wells coated by the antigen (goat anti-human IgG antibodies). To these wells, the nanocarrier was applied. APODOX without the modification showed 5× lower affinity to the antigen than APODOX-Nano modified gold and targeting antibodies (human IgG antibodies). Keywords—Antibody targeting, apoferritin, doxorubicin, nanocarrier.
The Active Recovery of 3D Motion Trajectories and Their Use in Prediction

This paper describes the theory and real-time implementation using an active camera platform of a method of planar trajectory recovery, and of the use of those trajectories to facilitate prediction over delays in the visual feedback loop. Image-based position and velocity demands for tracking are generated by detecting and segmenting optical flow within a central region of the image, and a projective construct is used to map the camera platform's joint angles into a Euclidean coordinate system within a plane, typically the ground plane, in the scene. A set of extended Kalman filters with different dynamics is implemented to analyze the trajectories, and these compete to provide the best description of the motion within an interacting multiple model. Prediction from the optimum motion model is used within the visual feedback loop to overcome visual latency. It is demonstrated that prediction from the 3D planar description gives better tracking performance than prediction based on a filtered description of observer-based 2D motion trajectories.
A proposition for resilient graph-based record linkage using parallel processing on distributed networks

Industrial and governmental organizations have accrued vast amounts of data contained in many databases. Many of these databases are developed by different organizations for different purposes, may contain millions of unique entities and may lack a dependable global unique identifier to link an individual's records across multiple databases. Record Linkage (RL) is a process that connects records that are related to the identical or sufficiently similar entity from multiple heterogeneous databases [1]. Whether the RL system uses a deterministic or probabilistic [2] methodology, it is necessary to compare the data within each pair of candidate records, field-by-field. Demographic and other data is used for pattern matches to determine if two records belong to the same entity. RL is a data and compute intensive mission critical process for many organizations. The process must be efficient enough to process big data, effective enough to provide accurate matches and resilient enough to ensure reliable operation.
Internet banking in the united kingdom: a customer behaviour perspective

The primary objective of this thesis is to develop a conceptual model that determines how intentions towards the use of internet banking are formed and to what extent they are related to the actual use of internet banking. The thesis also examines the role of customers' trust in internet banking acceptance and the perceptual differences among customers on the basis of their technology readiness and demographic characteristics of gender and age. The thesis integrates variables associated with behavioural and environmental uncertainty (trust and perceived risk), technology acceptance constructs (perceived usefulness and ease of use), and users' personal characteristics (technology readiness, age and gender) into a coherent and parsimonious model. The structural equation modelling technique is used to rigorously test the validation of measurement models and to examine the extensive set of interrelationships among these variables and their comparative effect on customers' intentions and actual use of internet banking. The data used is collected in collaboration with Halifax Bank of Scotland (HBOS) through postal questionnaire survey and actual internet banking usage logs of the respondents. The empirical results show that: (1) intentions translate over time into actual behaviour; (2) perceived usefulness has a significant effect on intentions; (3) trust and perceived risk are direct antecedents of intention, suggesting uncertainty reduction as a key component in customers' acceptance of internet banking; (4) trust also acts as an indirect antecedent of intention through perceived risk and perceived usefulness; (5) trust is a multidimensional construct: perceived trustworthiness, perceived security, perceived privacy are antecedents of trust; (6) perceived trustworthiness significantly affects perceived security and perceived privacy; (7) different types of customers, defined by their demographic characteristics and technology readiness, develop different perceptions towards the same technology. Overall, the thesis indicates that while Technology Acceptance Model (TAM: Davis 1989) is useful in explaining internet banking acceptance, extending the theory to include the combined effect of new variables and moderators increases our understanding of the underlying phenomenon. User acceptance of technology remains a complex, elusive, yet extremely important phenomenon. Research on the TAM starting from Davis in 1989 has made significant contributions toward unravelling some of its mysteries. The internet banking acceptance model, proposed and validated in this thesis, advances theory and research on this important issue. Keywords. Internet Banking, United Kingdom, Customer Behaviour, Technology Acceptance Model, Trust, Perceived Risk, Perceived Security, Perceived Privacy, Perceived Trustworthiness, Technology Readiness, Structural Equation Modelling.
In-operando neutron reflectometry studies on lithium insertion into silicon electrodes of Li-ion batteries

Lithium ion incorporation into amorphous silicon electrodes was monitored via in-op-erando neutron reflectometry in real-time during battery cell operation. Recent results of cyclic voltammetry experiments are presented. These experiments enable us to mon-itor the enormous volume expansion, the formation and evolution of the SEI (solid elec-trolyte interphase), the determination of irreversible capacity losses and voltage hyste-resis effects during cycling.