Miracle-dz/UniFAR-FTUs huggingface dataset:
Summarizing with Encyclopedic Knowledge

This paper presents a topic-driven multidocument summarization approach that relies on linking documents to Wikipedia. Wikipedia provides structural support to retrieve relevant concepts from the documents to be summarized, and quantify the strength of the relations between them, thus expanding the topic. We identify concepts in the documents, and assign them scores that describe their relevance to the topic, their significance in general, and a machine-learned confidence that they should appear in the summary. Sentences are ranked according to the scores of the concepts within them and how much new information they provide. The best are extracted and compressed to form the summary. The system is trained and developed using the DUC 2005 and 2006 data. It was tested on the DUC 2007 data before deploying it on the update summarization task of TAC 2009. It performs 5th (compared to 30 peers) in DUC 2007, and 21st (of 52 peers) on the TAC 2009 update task.
A Quantitative Use of the NIDCAP® Tool

The purpose of this study was to demonstrate how the check sheet of the Newborn Individualized Developmental Care and Assessment Program® (NIDCAP ® ) can be quantified and used in research. Using the quantified NIDCAP ® measures, the hypothesis that Caucasian male infants are less behaviorally competent while in a neonatal intensive care unit (NICU) was explored. Participants included 42 very preterm NICU infants. Eighty-five NIDCAP ® behaviors were quantified into scores ranging from 0 to 1, indicating the percentage of time each behavior was observed. Multivariate analyses were used in grouping the 85 NIDCAP ® behaviors into three subsystems of functioning. The hypothesis that Caucasian male infants were less competent was not supported; neither were gender differences found. Contrary to this hypothesis, African American infants were identified as more vulnerable on several behaviors. NIDCAP ® assessments were easily quantified. Once the entire NIDCAP ® exam has been quantified, practice applications may involve automated development of individualized care plans.
Multifunctional MIMO systems: A combined diversity and multiplexing design perspective

In this treatise we investigate the design alternatives of different multiple-input multiple-output schemes while considering the attainable diversity gains, multiplexing gains, and beamforming gains. Following a brief classification of different MIMO schemes, where the different MIMO schemes are categorized as diversity techniques, multiplexing schemes, multiple access arrangements, and beamforming techniques, we introduce the family of multifunctional MIMOs. These multifunctional MIMOs are capable of combining the benefits of several MIMO schemes and hence attaining improved performance in terms of both their bit error rate as well as throughput. The family of multifunctional MIMOs combines the benefits of both space-time coding and the Bell Labs layered space-time scheme as well as those of beamforming. We also introduce the idea of layered steered space-time spreading, which combines the benefits of space-time spreading, V-BLAST, and beamforming with those of the generalized multicarrier direct sequence code-division multiple access concept. Additionally, we compare the attainable diversity, multiplexing, and beamforming gains of the different MIMO schemes in order to document the advantages of multifunctional MIMOs over conventional MIMO schemes.
Addendum to "Locating features in source code"

For original paper by T. Eisenbarth et al. see ibid., vol.29, no.3, p.210-24 (2003). We compare three approaches that apply formal concept analysis on execution profiles. This survey extends the discourse of related research by Bojic and Velasevic (2000).
Notch3 and IL-1β exert opposing effects on a vascular smooth muscle cell inflammatory pathway in which NF-κB drives crosstalk

Atherogenesis begins with the transfer of monocytes from the lumen to the intimal layer of arteries. The paracrine activity acquired by these monocytes shifts vascular smooth muscle cells from a contractile-quiescent to a secretory-proliferative phenotype, allowing them to survive and migrate in the intima. Transformed and relocated, they also start to produce and/or secrete inflammatory enzymes, converting them into inflammatory cells. Activation of the Notch pathway, a crucial determinant of cell fate, regulates some of the new features acquired by these cells as it triggers vascular smooth muscle cells to grow and inhibits their death and migration. Here, we evaluate whether and how the Notch pathway regulates the cell transition towards an inflammatory or de-differentiated state. Activation of the Notch pathway by the notch ligand Delta1, as well as overexpression of the active form of Notch3, prevents this phenomenon [initiated by interleukin 1β (IL-1β)], whereas inhibiting the Notch pathway enhances the transition. IL-1β decreases the expression of Notch3 and Notch target genes. As shown by using an IκBα-mutated form, the decrease of Notch3 signaling elements occurs subsequent to dissociation of the NF-κB complex. These results demonstrate that the Notch3 pathway is attenuated through NF-κB activation, allowing vascular smooth muscle cells to switch into an inflammatory state.
Functional Magnetic Resonance Imaging in Nursing Research

Functional magnetic resonance imaging (fMRI) is a powerful noninvasive neuroimaging technique nurse scientists can use to investigate the structure and cognitive capacities of the brain. A strong magnetic field and intermittent high-frequency pulses cause protons in body tissues to release energy, which can be recorded and processed into images that are sensitive to specific tissue characteristics. Although temporal and spatial resolution constraints define an upper limit to the precision of magnetic resonance (MR) scanners, the primary index of neuronal activity, hemodynamic response, can be efficiently estimated. Characteristics of the experimental environment, the hypothesis of interest, and the physiology of the cognitive process under investigation provide guidance for the design and limit available options. The processing of functional data to remove unwanted variability is briefly described as are the techniques used to estimate statistical effects and control for the rate of false positives in the results. A detailed applied example of nursing research is included to demonstrate the practical application of the theory, methods, and techniques being discussed. A glossary of key terms is also provided.
Exploring Retraining-free Speech Recognition for Intra-sentential Code-switching

Code Switching refers to the phenomenon of changing languages within a sentence or discourse, and it represents a challenge for conventional automatic speech recognition systems deployed to tackle a single target language. The code switching problem is complicated by the lack of multi-lingual training data needed to build new and ad hoc multi-lingual acoustic and language models. In this work, we present a prototype research code-switching speech recognition system that leverages existing monolingual acoustic and language models, i.e., no ad hoc training is needed. To generate high quality pronunciation of foreign language words in the native language phoneme set, we use a combination of existing acoustic phone decoders and an LSTM-based grapheme-to-phoneme model. In addition, a code-switching language model was developed by using translated word pairs to borrow statistics from the native language model. We demonstrate that our approach handles accented foreign pronunciations better than techniques based on human labeling. Our best system reduces the WER from 34.4%, obtained with a conventional monolingual speech recognition system, to 15.3% on an intra-sentential code-switching task, without harming the monolingual accuracy.
Co‐ordination and control of distributed spacecraft systems using convex optimization techniques

Formation flying of multiple spacecraft is an enabling technology for many future space science missions. However, the co‐ordination and control of these instruments poses many difficult design challenges. This paper presents fuel/time‐optimal control algorithms for a co‐ordination and control architecture that was designed for a fleet of spacecraft. This architecture includes low‐level formation‐keeping algorithms and a high‐level fleet planner that creates trajectories to re‐size or re‐target the formation. The trajectory and formation‐keeping optimization algorithms are based on the solutions of linear and integer programming problems. The result is a very flexible optimization framework that can be used off‐line to analyse various aspects of the mission design and in real time as part of an onboard autonomous formation flying control system. The overall control approach is demonstrated using a nonlinear simulation environment that includes realistic measurement noises, disturbances, and actuator nonlinearities. Copyright © 2002 John Wiley & Sons, Ltd.
Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking

We present the first known empirical results on sequence labeling based on maximum margin Markov networks (M3N), which incorporate both kernel methods to efficiently deal with high-dimensional feature spaces, and probabilistic graphical models to capture correlations in structured data. We provide an efficient algorithm, the stochastic gradient descent (SGD), to speedup the training procedure of M3N. Using official dataset for noun phrase (NP) chunking as a case study, the resulting optimizer converges to the same quality of solution over an order of magnitude faster than the structured sequential minimal optimization (structured SMO). Our model compares favorably with current state-of-the-art sequence labeling approaches. More importantly, our model can be easily applied to other sequence labeling tasks.
iFeel_IM: innovative real-time communication system with rich emotional and haptic channels

The paper focuses on a novel system iFeel_IM! that integrates 3D virtual world, intelligent component for automatic emotion recognition from text, and innovative affective haptic interfaces providing additional nonverbal communication channels through simulation of emotional feedback and social touch. The motivation behind our work is to enrich social interaction and emotional involvement of the users of communication media. iFeel_IM! users can not only exchange messages but also emotionally and physically feel the presence of the communication partner.
Enhancing Data Sharing in Collaborative Research Projects with DASH

We describe a software framework, called DASH, that enables the facile access, maintenance, curation and sharing of computational biology data among collaborating research scientists. The DASH event-based framework enables members of team-based research projects to describe the multistep computational processing pipelines frequently required to generate data for sharing, monitors multiple distributed data stores for changes, and will then automatically invoke the appropriate processing pipeline(s). These pipelines can be used to communicate the results of data analyses to collaborators using mechanisms such as Web Services. We describe the overall design of the DASH system and the application of a simple DASH prototype to a collaborative pharmacogenomics research project involving several dozen researchers located at several different sites--the UCSF Pharmacogenetics of Membrane Transporters project.
Employee of the Month – Effects of Material and Immaterial Extrinsic Incentives on Team Production

A laboratory experiment was designed to replicate the employee of the month (EOM) tournament in many firms by showing participants the photo of the team member having contributed most to the team output in the preceding round. The experiment allows quantifying the effects of the extrinsic immaterial incentives provided by the EOM tournament and to compare it to the effects of a monetary premium. In contrast to prior experiments examining the effects of identification and decreasing social distance on cooperation in social dilemmas, the partial and voluntary identification in our experimental setting does not yield any positive incentive to increase contributions to the team output. JEL classification: C92, J33, M12, M52
Using Layout Information for Spreadsheet Visualization

This paper extends a spreadsheet visualization technique by using layout information. The original approach identifies logically or semantically related cells by relying exclusively on the content of cells for identifying semantic classes. A disadvantage of semantic classes is that users have to supply parameters which describe the possible shapes of these blocks. The correct parametrization requires a certain degree of experience and is thus not suitable for untrained users. To avoid this constraint, the approach reported in this paper uses row/column-labels as well as common format information for locating areas with common, recurring semantics. Heuristics are provided to distinguish between cell groups with intended common semantics and cell groups related in an ad-hoc manner.
Systems and methods for capture of relationships within information

Exemplary systems and methods to improve capture of relationships within information are provided. In various embodiments, a system comprises a landmark module configured to choose a set of landmarks from data in a finite metric space, the set of landmarks being a subset of points in the finite metric space, a nearest neighbor module configured to compute, for each landmark, a predetermined number of nearest neighbor landmarks in the set of landmarks, a graph construction module configured to identify at least one pair of landmarks that are nearest neighbors to each other, an edge generator module configured to add an edge between the at least one pair of landmarks, and a non-landmark projection module configured to project nonlandmark points based on the landmarks and one or more edges thereby enabling at least one shape to indicate relationships in the data.
Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition

This work introduces a novel matrix decomposition method termed Intermingled Randomized Singular Value Decomposition (InR-SVD), along with an InR-SVD variant powered by the power iteration scheme. InR-SVD computes a low-rank approximation to an input matrix by means of random sampling techniques. Given a large and dense m × n matrix, InR-SVD constructs a low-rank approximation with a few passes over the data in O(mnk) floating-point operations, where k is much smaller than m and n. Furthermore, InR-SVD can exploit modern computational platforms and thereby being optimized for maximum efficiency. InR-SVD is applied to synthetic data as well as real data in image reconstruction and robust principal component analysis problems. Simulations show that InR-SVD outperforms existing approaches.
Bacteriophage T4 polynucleotide kinase triggers degradation of mRNAs

The bacteriophage T4-encoded RegB endoribonuclease is produced during the early stage of phage development and targets mostly (but not exclusively) the Shine–Dalgarno sequences of early genes. In this work, we show that the degradation of RegB-cleaved mRNAs depends on a functional T4 polynucleotide kinase/phosphatase (PNK). The 5′-OH produced by RegB cleavage is phosphorylated by the kinase activity of PNK. This modification allows host RNases G and E, with activity that is strongly stimulated by 5′-monophosphate termini, to attack mRNAs from the 5′-end, causing their destabilization. The PNK-dependent pathway of degradation becomes effective 5 min postinfection, consistent with our finding that several minutes are required for PNK to accumulate after infection. Our work emphasizes the importance of the nature of the 5′ terminus for mRNA stability and depicts a pathway of mRNA degradation with 5′- to 3′-polarity in cells devoid of 5′–3′ exonucleases. It also ascribes a role for T4 PNK during normal phage development.
Performance Issues in Ring-Based Multiprocessor Systems

Sung Woo Chung is the designated presenter and he will attend the conference should his paper accepted Primary technical subject area : A. Computer Architecture and Super Computing 1. Introduction As microprocessors speeds continue to improve at a very fast rate the bandwidth requirements for system level interconnections in multiprocessor systems rule out the use of shared buses even for small-scale multiprocessor system. Buses are still popular for connection within a cluster. However, unidirectional point-to-point links replaces buses as the interconnection fabric for recent multiprocessor systems, because they increase the total network bandwidth of systems by pipelining effect and they operate at a very high speed. Sequent Computer Systems introduced ring-based system, STiNG[1], which supported one-way transmission on the ring. They used the Scalable Coherent Interface(SCI) specification[2]. Luiz A. Barroso and Michel Dubois suggested slotted ring–based multiprocessor system called Express Ring[3]. The PANDA[4] was presented to enhance the performance by reducing the data miss latency. To widen ring bandwidth, the Data General AviiON[5] architecture uses two SCI[2] rings operating at 500 MB/sec each to provide an aggregate bandwidth of 1 GB/sec to the system. Each SCI ring uses point-to-point links to achieve the high signal integrity necessary for high-frequency data transport. The rings(One is clockwise and the other is counterclockwise) and the packet routing are configured to circulate in opposite directions for increased performance by choosing the ring with the shortest path to the target cluster. Although researchers have shown the benefits of ring-based multiprocessor systems[3,4], there has not yet been a detailed or realistic analysis of effects of each component in ring-based multiprocessor systems. Such an analysis is required for system architects to select cost-effective components in ring-based multiprocessor systems.
Dynamic Analysis of Metabolic Response in Gastric Ulcer (GU) Rats with Electroacupuncture Treatment Using 1H NMR-Based Metabolomics

Gastric ulcer (GU), a common digestive disease, has a high incidence and seriously endangers health of human. According to the previous studies, it has been proved that electroacupuncture at acupoints of stomach meridian had a good effect on GU. However, there are few published studies on metabolic response in gastric ulcer (GU) rats with electroacupuncture treatment. Herein, we observed the metabolic profiles in biological samples (stomach, liver, and kidney) of GU rats with electroacupuncture treatment by 1H NMR metabolomics combined with pathological examination. The male SD rats were induced by intragastric administration of 70% ethanol after fasting for 24 hours and treated by electroacupuncture at Zusanli (ST36) and Liangmen (ST21) for 1 day, 4 days, or 7 days, respectively. And the conventional histopathological examinations as well as metabolic pathways assays were also performed. We found that GU rats were basically cured after electroacupuncture treatment for 4 days and had a complete recovery after electroacupuncture treatment for 7 days by being modulated comprehensive metabolic changes, involved in the function of neurotransmitters, energy metabolism, cells metabolism, antioxidation, tissue repairing, and other metabolic pathways. These findings may be helpful to facilitate the mechanism elucidating of electroacupuncture treatment on GU.
A QoS Based Low-Complex Rate-Split Scheme in Heterogeneous Cellular Networks

In heterogeneous cellular networks (HTN) which consists of macro-cells and numerous femto-cells, efficient interference management schemes between macro-cells and femto-cells are so crucial to the overall system performance. To mitigate inter-cell interference in the HTN, we propose a new rate-split transmission scheme which has following characteristics. First, it guarantees serving user''s QoS by deciding common message power for an interfered user. Second, it is a low complex scheme using only {\it ISNR} (Interference to Signal and Noise Ratio) feedback between a macro-base station and a femto-base station. Third, it operates in a distributed manner. The performance evaluation shows that the proposed algorithm significantly reduces the interference for severely interfered users while guaranteeing serving user''s QoS.
EagleTree: Exploring the Design Space of SSD-Based Algorithms

Solid State Drives (SSDs) are a moving target for system designers: they are black boxes, their internals are undocumented, and their performance characteristics vary across models. There is no appropriate analytical model and experimenting with commercial SSDs is cumbersome, as it requires a careful experimental methodology to ensure repeatability. Worse, performance results obtained on a given SSD cannot be generalized. Overall, it is impossible to explore how a given algorithm, say a hash join or LSM-tree insertions, leverages the intrinsic parallelism of a modern SSD, or how a slight change in the internals of an SSD would impact its overall performance. In this paper, we propose a new SSD simulation framework, named EagleTree, which addresses these problems, and enables a principled study of SSD-Based algorithms. The demonstration scenario illustrates the design space for algorithms based on an SSD-based IO stack, and shows how researchers and practitioners can use EagleTree to perform tractable explorations of this complex design space.
Distance Education : A Systems View

This paper represents a review of the second edition of Distance Education: A Systems View by Michael Moore and Greg Kearsley (Thomas/Wadsworth, 2005). This second edition reflects a view of current applications of distance education, based on the vantage of instructional systems design. The strengths of the book are reflected in the uniqueness of its consideration of online courses, in particular from the point of view of systematic development and management.
Mobile Network Service Using Ticket Issuance in the AAA System

A ubiquitous network environment is a system where the user can avail of the networkpsilas services anytime, anywhere. This service is referred to as authentication, authorization, accounting (AAA), and its aspects have been consistently studied. On the other hand, existing studies have been promoted with the authentication and efficiency of the mobile device. In a one method is that is required the mobile device contacts to the home authentication server through the external authentication server every time. Another one is to use a medium server to provide authentication between them. Thus, this paper aims to determine the best method to use ticketing, where tickets are provided through a mobile device by completing authentication and authorization features. Also, it can efficiently provide mobile verification processing.