Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Bridges in Phenomenology: Matching Heidegger and Autopoiesis in Interpretive Research

Either Heidegger's remarkable work Being and Time or Maturana and Varela's theoretical biology of autopoiesis have been used for some time in the information systems field for grounding interpretive research. This paper claims that the phenomenological findings on humanness of Heidegger, and the autopoietic uncovering of the essence of a living being by Maturana and Varela, both pointing out language as grounding, are ontological and epistemological consistent with each other and complementary. That in some aspects Heidegger's theory goes much deeper than autopoiesis, and in other cases autopoiesis details much more issues at stake, makes the fundamental matching of these two theories promising in terms of grounding interpretive research. In claiming the legitimacy of matching Heidegger's Being and Time and the theory of autopoiesis, this paper intends to contribute to the IS and organisational fields of research by pointing out in this matching a substantial, detailed and powerful body of theory concerning the phenomena of language, action, change, knowledge, information, and world as such.
Global exponential stability and global convergence in finite time of delayed neural networks with infinite gain

This paper introduces a general class of neural networks with arbitrary constant delays in the neuron interconnections, and neuron activations belonging to the set of discontinuous monotone increasing and (possibly) unbounded functions. The discontinuities in the activations are an ideal model of the situation where the gain of the neuron amplifiers is very high and tends to infinity, while the delay accounts for the finite switching speed of the neuron amplifiers, or the finite signal propagation speed. It is known that the delay in combination with high-gain nonlinearities is a particularly harmful source of potential instability. The goal of this paper is to single out a subclass of the considered discontinuous neural networks for which stability is instead insensitive to the presence of a delay. More precisely, conditions are given under which there is a unique equilibrium point of the neural network, which is globally exponentially stable for the states, with a known convergence rate. The conditions are easily testable and independent of the delay. Moreover, global convergence in finite time of the state and output is investigated. In doing so, new interesting dynamical phenomena are highlighted with respect to the case without delay, which make the study of convergence in finite time significantly more difficult. The obtained results extend previous work on global stability of delayed neural networks with Lipschitz continuous neuron activations, and neural networks with discontinuous neuron activations but without delays.
Using Prior Information Derived from Citations in Literature Search

Researchers spend a large amount of their time searching through an ever increasing number of scientific articles. Although users of scientific literature search engines prefer the ranking of results according to the number of citations a publication has received, it is unknown whether this notion of authoritativeness could also benefit more traditional and objective measures. Is it also an indicator of relevance, given an information need? In this paper, we examine the relationship between citation features of a scientific article and its prior probability of actually being relevant to an information need. We propose various ways of modeling this relationship and show how this kind of contextual information can be incorporated within a language modeling framework. We experiment with three document priors, which we evaluate on three distinct sets of queries and two document collections from the TREC Genomics track. Empirical results show that two of the proposed priors can significantly improve retrieval effectiveness, measured in terms of mean average precision.
Cramér-Rao Bound Analysis of Echo Time Selection for 1 HMR Spectroscopy

The choice of echo time (TE) is a complicated and controversial issue in proton MR spectroscopy, and represents a balancing act between signal-to-noise ratio and signal complexity. The TE values used in previous literature were selected either heuristically or based on limited empirical studies. In this work, we reconsider this problem from an estimation theoretic perspective. Specifically, we analyze the Cramér-Rao lower bound on estimated spectral parameters as a function of TE, which serves as a metric to quantify the reliability of the estimation procedure. This analysis reveals that a good choice of TE often depends on the particular metabolite of interest, and is a function of both the coupling properties of the metabolites and the general complexity of the spectrum.
Diagnostic and Prognostic Value of RNA-Proteolipid in Sera of Patients with Malignant Disorders following Therapy : First Clinical Evaluation of a Novel Tumor Marker 1

The circulating level of a novel RNA-proteolipid complex associated with malignant diseases was critically evaluated as a tumor marker in clinical oncology. The complex, isolated from the sera of cancer patients, exhibited unvarying chemical composition regardless of the cell type and clinical staging. Clearance from blood was rapid with a half-life of approximately 2 days. Tumor mass could be correlated with the circulat ing level. After effective treatment the level fell and rose again 10 months prior to the conventional clinical diagnosis of relapse.
The Structured Weighted Violations Perceptron Algorithm

We present the Structured Weighted Violations Perceptron (SWVP) algorithm, a new structured prediction algorithm that generalizes the Collins Structured Perceptron (CSP). Unlike CSP, the update rule of SWVP explicitly exploits the internal structure of the predicted labels. We prove the convergence of SWVP for linearly separable training sets, provide mistake and generalization bounds, and show that in the general case these bounds are tighter than those of the CSP special case. In synthetic data experiments with data drawn from an HMM, various variants of SWVP substantially outperform its CSP special case. SWVP also provides encouraging initial dependency parsing results.
Constructures: supporting human ingenuity in software

Existing media authoring software programs are generally regarded as offering little support for the earliest stages of the creative process, which have characteristics and needs that are distinct from the later stages. As a step toward addressing this, we present our constructural design philosophy: a set of principles that can be applied to software in any creative medium and under which we believe effective, early-stage creativity tools can be created. We then illustrate the application of these principles with Wheelsong, a complete, constructurally designed, early-stage music composition exploratorium and discuss a selection of musical sketches resulting from its use.
Rapid Emplacement of Young Oceanic Lithosphere: Argon Geochronology of the Oman Ophiolite

40Ar/39Ar dates of emplacement-related metamorphic rocks beneath the Samail ophiolite in Oman show that cooling to <525�C occurred within ∼1 million years of igneous crystallization of the ophiolite. This unexpectedly short time span and rapid cooling means that old, cold continental or oceanic lithosphere must have been adjacent to the ophiolite during spreading and then been thrust beneath the ophiolite almost immediately afterward.
When Group Composition Changes: Group Accommodation and Informationally Diverse Newcomers

In a 2 by 2 experimental design, we tested whether the acceptance of new group members depended on two newcomer characteristics; (1) the future prospects of a newcomer (whether a newcomer becomes a permanent member of the group or only remains temporarily within the group) and (2) on the kind of information that a newcomer possesses (unique vs. similar information than the rest of the group). Our preliminary results show that groups accommodate more effectively to (e.g., are more accepting of, feel more committed to and experience less conflict with) temporary newcomers who possess unique information about the group task than to permanent newcomers with unique information. We explain our findings by arguing that temporary newcomers are more likely to be seen as outgroup members than permanent newcomers. Groups are generally more willing to accept unique opinions of outgroup members than diverging perspectives of ingroup members (Phillips, 2003).
FM‐dyes as experimental probes for dissecting vesicle trafficking in living plant cells

FM‐dyes are widely used to study endocytosis, vesicle trafficking and organelle organization in living eukaryotic cells. The increasing use of FM‐dyes in plant cells has provoked much debate with regard to their suitability as endocytosis markers, which organelles they stain and the precise pathways they follow through the vesicle trafficking network. A primary aim of this article is to assess critically the current status of this debate in plant cells. For this purpose, background information on the important characteristics of the FM‐dyes, and of optimal dye concentrations, conditions of dye storage, and staining and imaging protocols, are provided. Particular emphasis is placed on using the FM‐dyes in double labelling experiments to identity specific organelles. In this way, staining of the Golgi with FM4‐64 has been demonstrated for the first time.
Preventing Sexual Unprotected Intercourse A Study of Prenominal Adjective Ordering

In matters linguistical, to paraphrase Chomsky, there is no substitute for consulting the intuitions of a native speaker. This desire grows particularly acute when one actually attempts to produce plausible utterances rather than merely making sense of them. One subproblem in the study of production that seems especially mired in the long-accreted intuitions of the native speaker is the problem of prenominal adjective ordering. Consider the following noun phrases:
Electro-Optic Directed XNOR Logic Gate Based on U-Shaped Waveguides and Microring Resonators

We report an electro-optic directed logic gate based on two U-shaped waveguides and two microring resonators, which can implement the XNOR operation. Two electrical signals representing the two operands of the operation are applied to the PIN diodes embedded around the two microring resonators, which are modulated through the plasma dispersion effect. The result of the XNOR operation is obtained at the output port as optical signal. The operation at the speed of 100 Mb/s is demonstrated.
A new efficient strong proxy signcryption scheme based on a combination of hard problems

Proxy signcryption scheme is the combination of proxy signature and encryption. In this paper we propose a new proxy signcryption scheme which has the following advantages as compared to the previous schemes: (1) It is based on a combination of hard problems: Integer Factorization Problem (IFP), Discrete Logarithm Problem (DLP), Diffie-Hellman Problem (DHP), and irreversibility of a One-Way Hash Function (OWHF). This combination achieves a strong security level. (2) It provides non-repudiation and public verifiability for both the original signcrypter and the proxy signcrypter. (3) It provides forward secrecy. (4) It provides proxy-protection against the original signcrypter. (5) It doesn't require a secure channel between the original signcrypter and the proxy signcrypter. (6) With all these advantages the proposed scheme is efficient.
Multi-Axis Force Sensor for Human–Robot Interaction Sensing in a Rehabilitation Robotic Device

Human–robot interaction sensing is a compulsory feature in modern robotic systems where direct contact or close collaboration is desired. Rehabilitation and assistive robotics are fields where interaction forces are required for both safety and increased control performance of the device with a more comfortable experience for the user. In order to provide an efficient interaction feedback between the user and rehabilitation device, high performance sensing units are demanded. This work introduces a novel design of a multi-axis force sensor dedicated for measuring pelvis interaction forces in a rehabilitation exoskeleton device. The sensor is conceived such that it has different sensitivity characteristics for the three axes of interest having also movable parts in order to allow free rotations and limit crosstalk errors. Integrated sensor electronics make it easy to acquire and process data for a real-time distributed system architecture. Two of the developed sensors are integrated and tested in a complex gait rehabilitation device for safe and compliant control.
Identifying protein submitochondrial location by using features of sequence

The function of proteins is closely related to it's subcellular localization. With the number of sequences entering into databanks rapidly increasing, it is highly desirable to predict a protein subcellular localization from its amino acid sequence. In this paper, the amino acid composition, N-terminal region of protein sequence, the amino acid hydropathy composition and gene ontology are selected as feature parameters by using support vector machine. The predictive results show that our method is efficient to predict the protein submitochondrial localization.
User cooperation via rateless coding

This paper presents a new rateless coded cooperation (CC) scheme for the two-user cooperative multiple access channel (CMAC), where two users cooperatively communicate with a common destination. We consider two rateless CC strategies, a fully coded cooperation (FCC) scheme used in the conventional rateless cooperative schemes and a new partially coded cooperation (PCC) scheme. In FCC, each user starts coded cooperation process only after the whole block of the other user's information symbols are fully recovered. In contrast, in PCC, each user starts cooperation as soon as it receives a fraction of new message sent from the other user. The degree distribution for the PCC scheme is designed to maximize the overall system throughput. Simulation results show that the proposed PCC scheme achieves a considerably higher throughput than the conventional scheme in various scenarios.
Imaging Single Retrovirus Entry through Alternative Receptor Isoforms and Intermediates of Virus-Endosome Fusion

A large group of viruses rely on low pH to activate their fusion proteins that merge the viral envelope with an endosomal membrane, releasing the viral nucleocapsid. A critical barrier to understanding these events has been the lack of approaches to study virus-cell membrane fusion within acidic endosomes, the natural sites of virus nucleocapsid capsid entry into the cytosol. Here we have investigated these events using the highly tractable subgroup A avian sarcoma and leukosis virus envelope glycoprotein (EnvA)-TVA receptor system. Through labeling EnvA pseudotyped viruses with a pH-sensitive fluorescent marker, we imaged their entry into mildly acidic compartments. We found that cells expressing the transmembrane receptor (TVA950) internalized the virus much faster than those expressing the GPI-anchored receptor isoform (TVA800). Surprisingly, TVA800 did not accelerate virus uptake compared to cells lacking the receptor. Subsequent steps of virus entry were visualized by incorporating a small viral content marker that was released into the cytosol as a result of fusion. EnvA-dependent fusion with TVA800-expressing cells occurred shortly after endocytosis and delivery into acidic endosomes, whereas fusion of viruses internalized through TVA950 was delayed. In the latter case, a relatively stable hemifusion-like intermediate preceded the fusion pore opening. The apparent size and stability of nascent fusion pores depended on the TVA isoforms and their expression levels, with TVA950 supporting more robust pores and a higher efficiency of infection compared to TVA800. These results demonstrate that surface receptor density and the intracellular trafficking pathway used are important determinants of efficient EnvA-mediated membrane fusion, and suggest that early fusion intermediates play a critical role in establishing low pH-dependent virus entry from within acidic endosomes.
Multimodal 2D, 2.5D & 3D Face Verification

A multimodal face verification process is presented for standard 2D color images, 2.5D range images and 3D meshes. A normalization in orientation and position is essential for 2.5D and 3D images to obtain a corrected frontal image. This is achieved using the spin images of the nose tip and both eyes, which feed an SVM classifier. First, a traditional principal component analysis followed by an SVM classifier are applied to both 2D and 2.5D images. Second, an iterative closest point algorithm is used to match 3D meshes. In all cases, the equal error rate is computed for different kinds of images in the training and test phases. In general, 2.5D range images show the best results (0.1% EER for frontal images). A special improvement in success rate for turned faces has been obtained for normalized 2.5D and 3D images compared to standard 2D images.
Design Guidelines for Effective WWW History Mechanisms

This paper presents design guidelines for history mechanisms within graphical World Wide browsers, and describes the methodology used to formulate them. Our hypothesis is that users revisit World Wide Web (WWW) pages, and that an examination of individual’s WWW navigation patterns can provide insight into the design of history systems. Data was collected from 23 subjects who used an instrumented version of Xmosaic 2.6 for six weeks. The data was analyzed in three ways. First, we assessed the extent to which pages are revisited. Second, we examined five possible patterns of page reuse. Third, we applied various conditioning methods for history lists to evaluate current and alternative approaches. From these empirical results combined with previous research into history systems, nine design guidelines for graphical WWW browser history mechanisms were derived. These guidelines address the following: access to previously visited pages; cognitive and physical effort of using a history mechanism; strategies for offering pages for selection; and end-user customization of the history data.
A Flow Graph Technique for DFT Controller Modification

This paper presents a novel DFT method which requires very small modification to a controller in RT-level description of a circuit. The control/data flow graph (CDFG) representation of an RTL circuit is used for analyzing the testability of individual RT-level operations within a hierarchical test technique. Using a non-scan arrangement, existing data paths are utilized to provide controllability and observability to RT-level operations. Furthermore, additional data paths are introduced by altering the controller states or signals. Post behavioral synthesis information and pre-computed test vectors of the individual modules are utilized. This method considerably reduces the test application time by ignoring unnecessary control states in the test process
Failure Inference for shortening traffic Detours

To speed up the recovery from network failures, an extensive list of methods have been proposed. Many failure-recovery methods are proposed based on tunneling or marking, which increase the packet processing burden on routers and consume extra bandwidth. With neither tunneling nor marking, existing methods guarantee recovery from any single-link failure if a detour for the failed link exists, but they generate long traffic detours that will degrade the network performance, and even increase the operational cost, which is undesirable to network operators. Therefore, in this paper, we propose a Failure Inference approach to shortening Traffic Detours named as FITD, which works in OSPF/IS-IS networks. FITD does not use explicit failure notification, and can infer which link fails based on traffic information. FITD guarantees recovery from any single-link failure if a detour for the failed link exists. In particular, for networks with symmetric link weights, FITD guarantees to generate shortest detours for any single-link failure.
Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs

A method for selecting regressors in nonlinear models with mixed discrete (categorical) and continuous inputs is proposed. Given a set of input-output data and an initial superset of potential inputs, the relevant inputs are selected by a model-free search algorithm. Fuzzy clustering is used to quantize continuous data into subsets that can be handled in a similar way as discrete data. Two simulation examples and one real-world data set are included to illustrate the performance of the proposed method and compare it with the performance of regression trees. For small to medium size problems (up to 15 candidate inputs), the proposed method works effectively. For larger problems, the computational load becomes too high.
An Elastic Cache Infrastructure through Multi-level Load-balancing

An increasing demand for geographic data compels data providers to handle an enormous amount of range queries at their data tier. In answer to this, frequently used data can be cached in a distributed main memory store in which the load is balanced among multiple cache nodes. To make appropriate load-balancing decisions, several key-indicators such as expected and actual workload as well as data skew can be used. In this work, we make use of an abstract mathematical model to consolidate these indicators. Moreover, we propose a multi-level load-balancing algorithm which considers the different indicators in separate stages. Our evaluation shows that our multi-level approach significantly improves the resource utilization in comparison to existing technology.
Influence of a Selective 5HT1-Receptor Agonist GR43175 on Platelet Responsiveness

The possible interaction of sumatriptan, a selective 5HT1-receptor agonist, with platelet responsiveness has been investigated. Stimulation of platelet rich plasma with sumatriptan (1–100 μM) did not induce shape change, aggregation or modification of intraplatelet cytosolic calcium levels. Total inhibition of aggregation induced by 20 μM 5HT was observed in platelets preincubated for 20 min with 100 μM sumatriptan. In the same model, platelet stimulation with 4 μM adenosine 5'-diphosphate (ADP), concentration known to induce an irreversible single-phase curve, determined a decrease of aggregatory response. Concentrations from I μM to 50 μM of sumatriptan did not influence the aggregatory response induced by 5HT and ADP. These effects appear not to be determined by modifications of platelet calcium homeostasis. The possibility to modulate platelet responsiveness by sumatriptan offers a further approach for evaluating the probable link between platelet behaviour and pathophysiology of migraine.