Miracle-dz/UniFAR-FTUs huggingface dataset:
Association Rule Mining Based on Concept Lattice in Bioinformatics Research

Concept lattice represents knowledge with the relationships between the intent and the extent of concepts, and the relations between the generalization and the specialization of concepts, then knowledge can be shown on the Hasse diagram with hierarchical structure, thus it is properly applied to the description of mining association rules in databases. Compared with well-known Apriori and FP-Growth algorithm, mining association rules on concept lattice does not need to scan databases for many times, and shows association rules on the Hasse diagram of concept lattice more visual and concise, moreover, it can be used to mine association rules interactively according to user's subjective interest, then solves the bottleneck of knowledge acquisition effectively, thus it is properly applied to the description of association rule mining in databases. Although the time complexity of building concept lattice algorithm is usually higher than FP-Growth algorithm, less than Apriori algorithm, association rule mining based on concept lattice has its own advantage, which represents the association rules more vivid and concise than Apriori and FP-Growth algorithm, thus, it can be easily applied in molecular biology to manage and analyze biology data. For example, because DNA and protein sequences are essential biological data and exist in huge volumes as well ,it is very important to apply association rule mining to compare and align biology sequences and find biosequence patterns and discovery of disease-causing gene connections and gene-drug interactions as an effective method.
High enzymatic activity and chaperone function are mechanistically related features of the dimeric E. coli peptidyl-prolyl-isomerase FkpA.

We have recently described the existence of a chaperone activity for the dimeric peptidyl-prolyl cis/trans isomerase FkpA from the periplasm of Escherichia coli that is independent of its isomerase activity. We have now investigated the molecular mechanism of these two activities in vitro in greater detail. The isomerase activity with a protein substrate (RNaseT1) is characterized by a 100-fold higher k(cat)/K(M) value than with a short tetrapeptide substrate. This enhanced activity with a protein is due to an increased affinity towards the protein substrate mediated by a polypeptide-binding site that is distinct from the active site. The chaperone activity is also mediated by interaction of folding and unfolding intermediates with a binding site that is most likely identical to the polypeptide-binding site which enhances catalysis. Both activities are thus mechanistically related, being based on the transient interaction with this high-affinity polypeptide-binding site. Only the isomerase activity, but not the chaperone activity, with the substrate citrate synthase can be inhibited by FK520. Experiments with the isolated domains of FkpA imply that both the isomerase and the chaperone site are located on the highly conserved FKBP domain. The additional amino-terminal domain mediates the dimerization and thus places the two active sites of the FKBP domains in juxtaposition, such that they can simultaneously interact with a protein, and this is required for full catalytic activity.
A new method for updating word senses in Hindi WordNet

Hindi WordNet, a rich computational lexicon is widely being used for many Hindi Natural Language Processing (NLP) applications. However it does not presently provide exhaustive list of senses for every word, which degrades the performance of such NLP applications. In this paper, we propose a graph based model and its associated techniques to automatically acquire words' senses. In the literature no such method is available which is capable of automatically identify the senses of the Hindi words. We use a Hindi part of speech tagged corpus for building the graph model. The linkage between noun-noun concepts is extracted on the basis of syntactic and semantic relationships. All of the senses of a word including the sense which is not present in Hindi WordNet are extracted. Our method also finds the categories of similar words. Using this model applications of NLP can be achieved at a higher level.
Calibration of single-axis nanopositioning cell subjected to thermal disturbance

In micromanipulation, especially microassembly, accuracy is a criterion useful for characterizing the performance of microrobots. The increase of positioning accuracy is a very important issue before making automatic assembly or other micro-tasks such as characterization. Thermal drift is one of the major sources of inaccuracy for automatic micromanipulation in ambient conditions and even in clean room. This paper addresses the calibration of a 1-DOF (Degree Of Freedom) nanopositioning cell including thermal drift compensation. The nanopositioning cell consists of a single-axis PZT stage and a XYZ manual stage which is usually used for fine positioning in microassembly platform. Subsequently, validations are implemented to test the performance by integrating the calibrated model. The experimental results show an effective improvement of the accuracy by a factor of 7 when temperature changes in the range of temperature for training, and 2.4 times improvement is achieved when temperature goes out of the training range.
Trust, Competition and Innovation: Theory and Evidence from German Car Manufacturers

We develop a simple theoretical model of a long term buyer-supplier relationship with non-contractible buyer specific R&D investment, and derive predictions on the effects of trust and competition on suppliers’ investment and buyers’ procurement strategies. We address these issues empirically using unique survey data on individual buyer-supplier relationships in the German automotive industry. Consistent with the model’s predictions, higher levels of trust are associated with higher investment levels - but also with more competitive procurement: trust and rents from reduced supplier competition in the procurement process emerge as substitutes both in theory and in the data.
Jet quenching

High-pt particles produced in nucleus-nucleus collisions constitute a powerful tool to study the medium properties. The energy loss resulting from the propagation of these particles in the produced medium translates into a suppression of the high-pt yields. These effects are usually associated to medium-induced gluon radiation which, in turn, predicts a broadening of the jet-like signals. Both the energy loss and the jet broadening are expected to increase proportionally to the medium density. In the more realistic case of a dynamically expanding medium, the gluon radiation becomes anisotropic due to the presence of a preferred direction in the transverse plane with respect to the axis of propagation. This anisotropy translates into deformed jet-shapes which provide new posibilities to study these flows by high-pt measurements.
Experimenting with flow and service separation using open MPLS test-bed

The thrust of this study is to construct an MPLS test-bed using open hardware and software and later use this test-bed for experimenting various traffic engineering options available with MPLS. We have constructed a test-bed using Pentium PCs and Linux and used this test-bed to try a well-known MPLS traffic engineering feature of separating flows into multiple trunks. The purpose of this separation is to experimentally assess the quality of service benefits we can expect from MPLS networks. We experiment with a hierarchical separation structure where the first level of separation is based on the transport layer used (TCP or UDP). This high level separation prevents UDP from unfairly grabbing the available bandwidth from TCP applications. Since different applications using TCP have different needs, e.g., some might want high bandwidth while others are more sensitive to packet delay, the second level of separation is based on application type. The results from our open experimental test-bed confirms the intuitive results by demonstrating better QoS with the flow separation in the MPLS core.
Target localization and circumnavigation using bearing measurements in 2D

This paper considers the problem of localization and circumnavigation of a slowly drifting target with unknown speed using the agent's known position and the bearing angle of the target. We first assume that the target is stationary and propose an estimator to localize the target and a control law that forces the agent to move on a circular trajectory around the target such that both the estimator and the control system are exponentially stable. Then the case where the target might experience slow but possibly steady movement is studied.
A Definitive Measurement of Time Dilation in the Spectral Evolution of the Moderate-Redshift Type Ia Supernova 1997ex

We have obtained high-quality Keck optical spectra at three epochs of the Type Ia supernova 1997ex, whose redshift z is 0.361. The elapsed calendar time between the first two spectra was 24.88 days, and that between the first and third spectra was 30.95 days. In an expanding universe where 1 + z represents the factor by which space has expanded between the emission and detection of light, the amount of aging in the supernova rest frame should be a factor of 1/(1 + z) smaller than the observed-frame aging; thus, we expect SN 1997ex to have aged 18.28 and 22.74 days between the first epoch and the second and third epochs, respectively. The quantitative method for determining the spectral-feature age of an SN Ia reveals that the corresponding elapsed times in the supernova rest frame were 16.97 ± 2.75 and 18.01 ± 3.14 days, respectively. This result is inconsistent with no time dilation with a significance level of 99.0%, providing evidence against "tired light" and other hypotheses in which no time dilation is expected. Moreover, the observed timescale of spectral evolution is inconsistent with that expected in the "variable mass theory. " The result is within ~1 σ of the aging expected from a universe in which redshift is produced by cosmic expansion.
Acute Promyelocytic Leukemia with i(17)(q10)

We herein report a rare chromosomal abnormality observed in an acute promyelocytic leukemia (APL) patient. She had several APL derivative clones including a clone with i(17)(q10) abnormality, which consists of two kinds of structural abnormalities, a cryptic translocation of t(15;17) and an isochromosome of 17q. Although an obvious microscopic t(15;17) change was not observed on either arms of the isochromosome, PML/RARα fusion signals were detected on an interphase fluorescence in situ hybridization analysis. By several cytogenetic analyses of her bone marrow cells, it was confirmed that the i(17)(q10) clone was derived from the classic t(15;17) clone via another intervening clone, cryptic t(15;17).
Fundamental constraints on theories of phenomenal experience

A central, non-negotiable constraint on any account of phenomenal awareness or experience is that it must be intrinsic to the experiencer, rather than depending on an outside interpretation of its structure or function. When applied to computational accounts of phenomenal awareness that are based on dynamical systems theory, this constraint raises a serious conceptual challenge, namely, the need for an intrinsic definition of the “system” in question. In this extended abstract, we discuss some of the issues arising from this challenge. 1 Fundamental constraints on theories of phenomenal experience Phenomenality — the quintessence of first-person experience — cannot be a matter of attribution or ascription: it must be intrinsic to the experiencer. The distinction between attributed and intrinsic properties of informational systems has been drawn in the past. For instance, in their tutorial introduction to the Information Integration Theory of qualia, Balduzzi and Tononi (2009, p.2) write: “From the perspective of an external observer, the camera chip has a large repertoire of states. From an intrinsic perspective, however, the sensor chip can be considered as a collection of one million photodiodes with a repertoire of two states each, rather than as a single integrated system with a repertoire of 21,000,000 states. ” A forceful statement of the principle of intrinsic phenomenality has been offered by Fekete and Edelman (2011, p.811): “[. ] Activity [the dynamics of the experiential system] being the realization of experience, it is not supposed to require any further interpretation. In other words, activity must impose structure on experience intrinsically, or not at all. ” The insistence on phenomenality being intrinsic is what leads one to seek explanations rooted in dynamical systems theory — a move that can also be motivated on independent grounds, both empirical and philosophical (see, e.g., Skarda and Freeman, 1987; Freeman, 2007 and the contributions in Edelman, Fekete, and Zach, 2012). As Fekete and Edelman (2011) discuss at some length, identifying phenomenality with the dynamics of the experiencer (rather than, say, with its instantaneous states; cf. Smart, 2004), in addition to solving a host of conceptual problems, makes phenomenality intrinsic. Simply put, by computing its future given its past and any external influences, a dynamical system by definition serves as its own interpreter. To do that, it needs time, which is why phenomenality is not a state but a process (Edelman and Fekete, 2012). ∗Extended version of an abstract submitted to the 17th Conference of the Association for Scientific Study of Consciousness, 2013. †To whom correspondence should be addressed. Department of Psychology, Cornell University, Ithaca, NY 14853-7601, USA. ‡Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794-5281, USA.
Past of the firm: The source for sustainable competitive advantage and survival?

Small craft sector firms are struggling to survive in an environment where large multinational companies produce similar kinds of products in higher volumes and cheaper prices. The surviving of small firms calls for creative thinking. There are many different ways to react to these challenges. Those of them that have been trading for decades have a quality that no newcomer has: their history and knowledge. This quality is seldom fully valued or exploited by the companies. However, more efficient exploitation of the enterprise cultural heritage could enhance the competitiveness of long established small businesses - especially today, when sustainability, authenticity, innovativeness and traditions are highly valued among many consumers worldwide (Feagan, 2007, Sedera et al., 2004, Halweil, 2002). These assets can be vital for surviving for long established companies. Heritage can be used as an asset, which can have new meanings in new contexts and eras. Therefore, it can be used to serve contemporary purposes. Enterprise cultural heritage’s both cultural and economic values have become more visible recently. The concepts of heritage production and heritage as commodity have been introduced. First venues for this commercialization have been museums, travel and food industry. (Nic Craith, 2007, Kockel, 2007). The cultural heritage includes both the intangible assets, such as the practices, representations, expressions, knowledge and skills - as well as the tangible assets which includes objects, artefacts and cultural spaces associated therewith (Unesco, 2003, Nic Craith, 2007). The concept of ECH aims to bring the concept of cultural heritage now closer to the everyday business practices. ECH is an innovative and complex concept combining the company’s own history and creations with the potential to transform information and materials into “extended products & services”. The aim of the paper is twofold - both empirical and theoretical. On one hand, the applicability of the resource-based view is tested with case studies and on the other hand, the theoretical foundations of this novel concept of ECH are consolidated. This paper aims to answer the questions: how is the Enterprise Cultural Heritage exploited in the companies studied and does the exploitation of ECH create sustained competitive advantage for these companies (evaluated with the VRIO framework). In the conclusions and implications both the theoretical and policy implications of the study are discussed, as well as how a conscious use of ECH might help the long established companies to survive.
A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching

We describe a new supervised learning‐based template matching approach for segmenting cell nuclei from microscopy images. The method uses examples selected by a user for building a statistical model that captures the texture and shape variations of the nuclear structures from a given dataset to be segmented. Segmentation of subsequent, unlabeled, images is then performed by finding the model instance that best matches (in the normalized cross correlation sense) local neighborhood in the input image. We demonstrate the application of our method to segmenting nuclei from a variety of imaging modalities, and quantitatively compare our results to several other methods. Quantitative results using both simulated and real image data show that, while certain methods may work well for certain imaging modalities, our software is able to obtain high accuracy across several imaging modalities studied. Results also demonstrate that, relative to several existing methods, the template‐based method we propose presents increased robustness in the sense of better handling variations in illumination, variations in texture from different imaging modalities, providing more smooth and accurate segmentation borders, as well as handling better cluttered nuclei. © 2013 International Society for Advancement of Cytometry
FENCHEL DUALITY, FITZPATRICK FUNCTIONS AND MAXIMAL MONOTONICITY

We show in this paper how the versions of the Fenchel duality theorem due to Rockafellar and Attouch{Brezis can be applied to the Fitzpatrick function determined by a maximal monotone multifunction to obtain number of results on maximal monotonicity, including a number of su-cient conditions for the sum of maximal monotone multifunc- tions on a re∞exive Banach space to be maximal monotone, unifying a number of the results of \Attouch{Brezis type" that have been obtained in recent years. We also obtain generalizations of the Brezis{Crandall{Pazy result. We flnd various explicit formulas in terms of the Fitzpatrick function for the minimum norm of the solutions x of (S +J)x3 0, where E is re∞exive, S is maximal monotone on E and J is the duality map. Among the tools that we develop are a version of the Fenchel duality theorem in which we obtain an explicit formula for the minimum norm of solutions in certain cases, and a generalization of the Attouch{Brezis version of the Fenchel duality theorem to a more symmetric result for convex functions of two variables.
Isolated and Connected Word Recognition - Theory and Selected Applications

The art and science of speech recognition have been advanced to the state where it is now possible to communicate reliably with a computer by speaking to it in a disciplined manner using a vocabulary of moderate size. It is the purpose of this paper to outline two aspects of speech-recognition research. First, we discuss word recognition as a classical pattern-recognition problem and show how some fundamental concepts of signal processing, information theory, and computer science can be combined to give us the capability of robust recognition of isolated words and simple connected word sequences. We then describe methods whereby these principles, augmented by modern theories of formal language and semantic analysis, can be used to study some of the more general problems in speech recognition. It is anticipated that these methods will ultimately lead to accurate mechanical recognition of fluent speech under certain controlled conditions.
Chapter 2 GRASP WITH PATH-RELINKING : RECENT ADVANCES AND APPLICATIONS

Path-relinking is a major enhancement to the basic greedy randomized adaptive search procedure (GRASP), leading to significant improvements in solution time and quality. Path-relinking adds a memory mechanism to GRASP by providing an intensification strategy that explores trajectories connecting GRASP solutions and the best elite solutions previously produced during the search. This paper reviews recent advances and applications of GRASP with path-relinking. A brief review of GRASP is given. This is followed by a description of path-relinking and how it is incorporated into GRASP. Several recent applications of GRASP with path-relinking are reviewed. The paper concludes with a discussion of extensions to this strategy, concerning in particular parallel implementations and applications of path-relinking with other metaheuristics.
REAL-TIME VISUALISATION OF LOUDNESS ALONG DIFFERENT TIME SCALES

We propose a set of design criteria for visualising loudness features of an audio signal, measured along different time scales. A novel real-time loudness meter, based on these criteria, is presented. The meter simultaneously shows short-term loudness, long-term loudness and peak level. The short-term loudness is displayed using a circular bar graph. The meter displays the longterm loudness by means of a circular envelope graph, organized according to an absolute time-scale – looking similar to a radar display. Typically, the loudness measured during the past hour is visible. The algorithms underlying the meter's loudness and peak level measurements take into account recent ITU-R recommendations and research into loudness modelling.
Lifting the Predictability of Human Mobility on Activity Trajectories

Mobility prediction has recently attracted plenty of attention since it plays an important part in many applications ranging from urban planning and traffic forecasting to location-based services, including mobile recommendation and mobile advertisement. However, there is little study on exploiting the activity information, being often associated with the trajectories on which prediction is based, for assisting location prediction. To this end, in this paper, we propose a Time-stamped Activity INference Enhanced Predictor (TAINEP) for forecasting next location on activity trajectories. In TAINEP, we propose to leverage topic models for dimension reduction so as to capture co-occurrences of different time-stamped activities. It is then extended to incorporate temporal dependence between topics of consecutive time-stamped activities to infer the activity which may be conducted at the next location and the time when it will happen. Based on the inferred time-stamped activities, a probabilistic mixture model is further put forward to integrate them with commonly-used Markov predictors for forecasting the next locations. We finally evaluate the proposed model on two real-world datasets. The results show that the proposed method outperforms the competing predictors without inferring time-stamped activities. In other words, it lifts the predictability of human mobility.
Control system design on chip

This paper describes the main principle of the hardware design for control system and analyzes the circuit design which includes the analog-to-digital module design, USB interface design and the flash memory design. The principle of the data sampling subsystem and execution subsystem are discussed in this paper. The experimental results show the effectiveness and feasibility of the proposed control system.