Miracle-dz/UniFAR-FTUs huggingface dataset:
Green collaboration in cognitive radio cellular networks with roaming and spectrum trading

In this paper, we propose a new cognitive cellular network architecture based on the coexistence of primary and secondary networks, (PN) and (SN), respectively. The PN aims to minimize its energy consumption by switching off the maximum number of its BSs and offloading its users to the SN's infrastructure to maintain its QoS. In return, the PN pays a roaming price and permits the SN to share or lease the spectrum at a certain price. We propose a low-complexity algorithm allowing the PN to minimize its energy consumption by selecting a suboptimal combination of active base stations. Our algorithm also optimizes the resource allocation of the SN to maximize its total sum-rate while respecting the minimal profit constraints for both networks. In the numerical results, we show that our proposed algorithm achieves close performances to the optimal exhaustive search algorithm. In addition, we investigate the impact of various system parameters in the collaboration decision.
Do Sexy Cover Models Increase Magazine Sales?

Abstract In the competitive struggle to increase circulation, mainstream men's magazines (such as Details, Maxim, Esquire) are featuring sexually attractive people on their covers. This article reports the findings of a study designed to determine if the sexual response evoked by cover models is related to interest in the magazine and purchase intention. Findings suggest that sexual attractiveness of the cover model and sexual arousal were related to interest in the magazine, but not purchase intention. Although no gender differences emerged, those with a positive sexual response to the cover person were more interested in the magazine. These results suggest that sexy cover models may be most effective for attracting attention to, and interest in, the magazine at the newsstand, but that feature articles have greater impact on purchase decisions.
Collecting and integrating news from heterogeneous services

Content syndication, which is when one organization provides content to a number of subscribers, who then re-publish that content is becoming increasingly popular. This paper proposes NewsMiner, an architecture based on XML for integrating heterogeneous news services automatically. The discussion provides a classification of news services available on the Internet, highlighting issues on integration of such systems. A case study presents news integration by collecting data from three different services.
A branch-and-bound algorithm for the inference of ancestral amino-acid sequences when the replacement rate varies among sites: Application to the evolution of five gene families

MOTIVATION We developed an algorithm to reconstruct ancestral sequences, taking into account the rate variation among sites of the protein sequences. Our algorithm maximizes the joint probability of the ancestral sequences, assuming that the rate is gamma distributed among sites. Our algorithm probably finds the global maximum. The use of 'joint' reconstruction is motivated by studies that use the sequences at all the internal nodes in a phylogenetic tree, such as, for instance, the inference of patterns of amino-acid replacement, or tracing the biochemical changes that occurred during the evolution of a given protein family. RESULTS We give an algorithm that guarantees finding the global maximum. The efficient search method makes our method applicable to datasets with large number sequences. We analyze ancestral sequences of five gene families, exploring the effect of the amount of among-site-rate-variation, and the degree of sequence divergence on the resulting ancestral states. AVAILABILITY AND SUPPLEMENTARY INFORMATION http://evolu3.ism.ac.jp/~tal/ CONTACT tal@ism.ac.jp
AMPA receptor subunit expression in trigeminal neurons during postnatal development

Trigeminal motoneurons (Mo5) and mesencephalic trigeminal neurons (Me5) are important constituents of the neural circuitry responsible for jaw movements. Non–N–methyl–D–aspartate (NMDA) glutamate receptors are a critical component of the brainstem circuitry responsible for reflex and centrally activated jaw movements; however, little is known about the expression of these receptors in neonatal oral–motor circuitry. Receptor immunohistochemistry using affinity–purified polyclonal antibodies directed against GluR1, GluR2/3/4c, and GluR4, respectively, and a monoclonal antibody directed against the GluR2 subunit, were used in rats at postnatal day (P)1, P3, P5, P10, P19–21, P32–35, and P60 to describe the expression of the alpha–amino–d–3–hydroxy–5–methyl–4–isoxazolepropionic acid (AMPA) receptor in Mo5 and Me5 neurons. In Mo5, immunoreactivity was noted for all antibodies throughout the time frame sampled. Neurons in caudal portions of Me5 displayed immunoreactivity to each antibody except at P60 when GluR2 immunoreactivity was absent. Neurons located in rostral Me5 displayed GluR2/3/4c and GluR4 immunoreactivity throughout the time frame, GluR1 immunoreactivity emerged at P3 and a transient expression of GluR2 expression was observed between P10 and P32–35. The lack of labeling of some neurons in both regions, coupled with differences in temporal expression, suggests that there are differences in the AMPA receptor phenotype within and between Mo5 and Me5 during postnatal development. Differences in AMPA subunit composition suggest a complex role for AMPA–mediated glutamatergic neurotransmission in brainstem circuits controlling jaw movements. J. Comp. Neurol. 427:109–123, 2000. © 2000 Wiley‐Liss, Inc.
Document driven machine translation enhanced ASR

In human-mediated translation scenarios a human interpreter translates between a source and a target language using either a spoken or a written representation of the source language. In this paper we improve the recognition performance on the speech of the human translator spoken in the target language by taking advantage of the source language representations. We use machine translation techniques to translate between the source and target language resources and then bias the target language speech recognizer towards the gained knowledge, hence the name Machine Translation Enhanced Automatic Speech Recognition. We investigate several different techniques among which are restricting the search vocabulary, selecting hypotheses from n-best lists, applying cache and interpolation schemes to language modeling, and combining the most successful techniques into our final, iterative system. Overall we outperform the baseline system by a relative word error rate reduction of 37.6%.
Comparison of RIP, EIGRP, OSPF, IGRP Routing Protocols in Wireless Local Area Network (WLAN) by using OPNET Simulator tool - A Practical Approach

In Adhoc Network group communication is more important, in which routing protocols play a vital role for data transmission. With/Without using central server or access point, the Wireless network form a temporary network with collection of wireless nodes in which, each node changes randomly at different times. In order to establish data transmission between nodes, multiple hops are needed because of limited range i.e. transmission rate. In this paper, we have analyzed and simulated a proposed Wireless Local Area Network (WLAN) using different routing protocols. The performances of different protocols are compared and analyzed using Optimum Network Performance (OPNET) simulator tool in which metrics like delay, throughput, packet delivery, load, Ethernet delay, are measured.
In-vitro evaluation of sensors and amplifiers to measure left ventricular pressure in mice

Mice are becoming more common as research models, and several companies now manufacture sensors and instrumentation to measure left ventricular (LV) pressure and volume in mice. It is often assumed that pressure is easier to measure than volume, and that all sensors perform similarly, but there are differences. We measured in-vitro the frequency and step responses, immersion response, stability, accuracy, linearity, and sensitivity to lateral or bending force of several solid-state sensors and amplifiers commonly used in mice. We tested 4 microsensors each from Millar, Scisense, and RADI, and also fluidfilled catheters. All solid-state sensors were stable with drifts of <1 mmHg/hr, had flat frequency response to >1 kHz, and were accurate and linear to within +/− 2 mmHg from 0–300 mmHg. The frequency response of the fluid-filled catheter was down by 50% at 30 Hz. The amplifiers from Millar, Scisense, and RADI, had time delays of 0.2, 3.2 and 10.6 ms respectively. The Millar and RADI sensors were unresponsive to lateral forces, but the Scisense catheters had sensitivities as high as 5.3 mmHg/g. There are significant differences in solid state pressure sensors and amplifiers which could generate offsets, time delays, and distortions which could go unrecognized in-vivo.
LTE and LTE-advanced: Radio technology aspects for mobile communications

The paper presents history of radio communication technologies for mobile communications briefly followed by introduction of LTE (Long Term Evolution) or LTE-Advanced radio technologies. Activities in 3GPP (Third Generation Partnership Project) are also touched where latest radio communication standards are developed. Afterwards as examples of key radio technologies used in LTE or LTE-Advanced, its operating frequency bands and Carrier Aggregation (CA) feature are covered. Also several promising technologies are explained which will be an essential element in order to realize coming mobile phone terminals.
Light Curves of Swift Gamma-Ray Bursts

Recent observations from the Swift gamma-ray burst mission indicate that a fraction of gamma-ray bursts are characterized by a canonical behavior of the X-ray afterglows. We present an effective theory that allows us to account for X-ray light curves of both (short/long) gamma-ray bursts and X-ray-rich flashes. We propose that gamma-ray bursts originate from massive magnetic-powered pulsars.
An integrated probabilistic text clustering model with segment-based and word order evidence

Text clustering is an important research topic with many practical applications. Traditional clustering algorithms such as K-means and Probabilistic Latent Semantic Indexing (pLSI) simply treat each document as a single chunk of text and also ignore important word order information, which limits their performance. This paper proposes an integrated probabilistic model to explicitly combine the evidence from individual segments within a document and the word order information. Based on this model, a text clustering framework is proposed. Experiments on test datasets indicate substantial performance gains over state-of-the-art algorithms.
Associative Document Retrieval Techniques Using Bibliographic Information

Automatic documentation systems which use the words contained in the individual documents as a principal source of document identifications may not perform satisfactorily under all circumstances. Methods have therefore been devised within the last few years for computing association measures between words and between documents, and for using such associated words, or information contained in associated documents, to supplement and refine the original document identifications. I t is suggested in this study that bibliographic citations may provide a simple means for obtaining associated documents to be incorporated in an automatic documentation system. The standard associative retrieval techniques are first briefly reviewed. A computer experiment is then described which tends to confirm the hypothesis that documents exhibiting similar citation sets also deal with similar subject matter. Finally, a fully automatic document retrieval system is proposed which uses bibliographic information in addition to other standard criteria for the identification of document content, and for the detection of relevant information.
GSC diversity receivers over generalized-gamma fading channels

A detailed performance analysis of generalized-selection combining GSC(2,L) receivers operating over generalized-gamma fading channels is presented. For this class of receivers, a novel closed-form expression for the moments output signal-to-noise ratio is derived. Furthermore, infinite series representations for the moments-generating and the cumulative distribution functions are obtained. The proposed mathematical analysis is accompanied by various performance evaluation results. These theoretical results are complemented by equivalent computer simulated results, which validate the accuracy of the proposed analysis.
The effect of perhexiline on myocardial protection during coronary artery surgery: a two-centre, randomized, double-blind, placebo-controlled trial

OBJECTIVES Perhexiline is thought to modulate metabolism by inhibiting mitochondrial carnitine palmitoyltransferase-1, reducing fatty acid uptake and increasing carbohydrate utilization. This study assessed whether preoperative perhexiline improves markers of myocardial protection in patients undergoing coronary artery bypass graft surgery and analysed its effect on the myocardial metabolome. METHODS In a prospective, randomized, double-blind, placebo-controlled trial, patients at two centres were randomized to receive either oral perhexiline or placebo for at least 5 days prior to surgery. The primary outcome was a low cardiac output episode in the first 6 h. All pre-specified analyses were conducted according to the intention-to-treat principle with a statistical power of 90% to detect a relative risk of 0.5 and a conventional one-sided α-value of 0.025. A subset of pre-ischaemic left ventricular biopsies was analysed using mass spectrometry-based metabolomics. RESULTS Over a 3-year period, 286 patients were randomized, received the intervention and were included in the analysis. The incidence rate of a low cardiac output episode in the perhexiline arm was 36.7% (51/139) vs 34.7% (51/147) in the control arm [odds ratio (OR) 0.92, 95% confidence interval (CI) 0.56–1.50, P = 0.74]. Perhexiline was associated with a reduction in the cardiac index at 6 h [difference in means 0.19, 95% CI 0.07–0.31, P = 0.001] and an increase in inotropic support in the first 12 h (OR 0.55, 95% CI 0.34–0.89, P = 0.015). There were no significant differences in myocardial injury with troponin-T or electrocardiogram, reoperation, renal dysfunction or length of stay. No difference in the preischaemic left ventricular metabolism was identified between groups on metabolomics analysis. CONCLUSIONS Preoperative perhexiline does not improve myocardial protection in patients undergoing coronary surgery and in fact reduced perioperative cardiac output, increasing the need for inotropic support. Perhexiline has no significant effect on the mass spectrometry-visible polar myocardial metabolome in vivo in humans, supporting the suggestion that it acts via a pathway that is independent of myocardial carnitine palmitoyltransferase inhibition and may explain the lack of clinical benefit observed following surgery. ClinicalTrials.Gov ID NCT00845364.
Formant Frequencies under Cognitive Load: Effects and Classification

Cognitive load measurement systems measure the mental demand experienced by human while performing a cognitive task, which is useful in monitoring and enhancing task performance. Various speech-based systems have been proposed for cognitive load classification, but the effect of cognitive load on the speech production system is still not well understood. In this work, we study formant frequencies under different load conditions and utilize formant frequency-based features for automatic cognitive load classification. We find that the slope, dispersion, and duration of vowel formant trajectories exhibit changes under different load conditions; slope and duration are found to be useful features in vowel-based classification. Additionally, 2-class and 3-class utterance-based classification results, evaluated on two different databases, show that the performance of frame-based formant features was comparable, if not better than, baseline MFCC features.
An FGF signaling loop sustains the generation of differentiated progeny from stem cells in mouse incisors

Rodent incisors grow throughout adult life, but are prevented from becoming excessively long by constant abrasion, which is facilitated by the absence of enamel on one side of the incisor. Here we report that loss-of-function of sprouty genes, which encode antagonists of receptor tyrosine kinase signaling, leads to bilateral enamel deposition, thus impeding incisor abrasion and resulting in unchecked tooth elongation. We demonstrate that sprouty genes function to ensure that enamel-producing ameloblasts are generated on only one side of the tooth by inhibiting the formation of ectopic ameloblasts from self-renewing stem cells, and that they do so by preventing the establishment of an epithelial-mesenchymal FGF signaling loop. Interestingly, although inactivation of Spry4 alone initiates ectopic ameloblast formation in the embryo, the dosage of another sprouty gene must also be reduced to sustain it after birth. These data reveal that the generation of differentiated progeny from a particular stem cell population can be differently regulated in the embryo and adult.
Analysis and classification of electroencephalographic signals (EEG) to identify arm movements

The objective of this work is the analysis and classification of electroencephalographic signals (EEG) to identify arm movements. The system must similarly recognize if the movement is executed or imagined. The EEG signals are recordings of the electrical activity of the brain and are subdivided into frequency bands (Alpha, Beta, Delta, Gamma, Mu, and Theta). The interest waves alpha, beta and mu reflect the cerebral activation due to real or imagined movement. These signals vary in time and frequency hindered their identification and classification. With the help of the literature, statistical analysis, wavelet analysis and classification tests were selected 8 EEG channels to use. The wavelet transformed (WT) was applied to the signal to extract time and frequency characteristics. The approximation coefficients of WT were integrated as vectors to system classification inputs. These vectors are composed of different decomposition levels for some channels depending of the wave (alpha, betha, mu). In the classification we used a multilayer perceptron neural network. Finally we identified four movements (real and imagined) of the arms of a healthy person: right hand back and forth, left hand back and forth. The accuracy obtained was 88.72% for 4 movements and 82.71% for 5 movements with the leg movement as the 5th class.
Enhancement of Search Results Using Dynamic Document Seed Reranking Algorithm

We proposed an algorithm to improve the precision of top retrieved documents by re-ordering the retrieved documents in the initial retrieval. To re-order the documents, we first automatically extract key terms and key phrases from top N retrieved documents and generate a document index for each document. Using the standard similarity metrics, a document similarity matrix is generated for these documents. The document similarity matrix is considered as an adjacency matrix, where the nodes are documents and the distances are their similarity measures. The objective of this algorithm is, to rerank the documents so as to minimize the similarity mean absolute distance between them. Moreover, the user can choose a document of interest as the seed document and initiate the reranking algorithm by which documents are reranked based on is similarity distance from the seed document. From the experimental results, it is demonstrated that the algorithm reduces the mean absolute difference. Further it is proved that the proposed reranking algorithm minimizes the mean absolute distance between the top N results obtained from search engines and helps users to rerank documents based on any seed document as a query.
Effects of Clonality in Multiple Infections on the Life-History Strategy of the Trematode Coitocaecum parvum in Its Amphipod Intermediate Host

Theoretical models predict that genetic relatedness affects the competition within and between parasite clonal groups sharing a common host. Here, we studied natural and experimental multiple infections of the trematode Coitocaecum parvum in its intermediate host. We focused on the effects of clonality on the life-history strategy of parasites competing for resources. Coitocaecum parvum can either delay maturation until its amphipod host is ingested by a definitive host, or adopt a progenetic strategy and reproduce inside the amphipod. Within a common host, clonal parasites were more likely to adopt identical life-history strategies than different genetic clones, both in natural and experimental infections. However, when timing of infection and other factors were controlled experimentally, parasites sharing a host were likely to adopt identical strategies regardless of their clonal identity, although pairs of clones were more likely to adopt progenesis than pairs of nonclones. The asymmetries in relative size and egg production between coinfecting parasites adopting the same life-history strategy were slightly, but not significantly, higher between different clones than identical clones. Our results suggest that the dynamics of competition between coinfecting parasites, although influenced by numerous external factors, is also modulated by genetic relatedness among parasites.
Do speech recognizers prefer female speakers?

In this contribution we examine large speech corpora of prepared broadcast and spontaneous telephone speech in American English and in French. Starting with the question whether ASR systems behave differently on male and female speech, we then try to ﬁnd evidence on acoustic-phonetic, lexical and id-iomatic levels to explain the observed differences. Recognition results have been analysed on 3-7h of speech in each language and speech type condition (totaling 20 hours). Results consistently show a lower word error rate on female speech ranging from 0.7 to 7% depending on the condition. An analysis of automatically produced pronunciations in speech training corpora (totaling 4000 hours of speech) revealed that female speakers tend to stick more consistently to standard pronunciations than male speakers. Concerning speech disﬂuencies, male speakers show larger proportions of ﬁlled pauses and repetitions, as compared to females.
Development of declarative memory in preterm and full-term born children : evidence from neuropsychological tests, structural brain imaging, and event-related potentials

1 General Introduction . 3 1 The Declarative Memory System and its Development . 5 1.1 Development of Declarative Memory. 7 1.2 Recognition Memory. 11 1.3 Development of Recognition Memory. 15 2 Neurodevelopmental Outcomes After Preterm Birth . 20 2.1 Prematurity . 20 2.2 Neuroimaging Findings in Preterm Children. 22 2.3 Cognitive Outcomes of Preterm Children . 26 2.4 Development of Episodic Memory in Preterm Children. 28 3 Neuroscientific Methods. 32 3.1 Neuropsychological Tests . 32 3.2 Electroencephalography (EEG). 33 3.3 Structural Magnetic Resonance Imaging. 35 4 Aims of the Present Studies . 39 5 Study 1 . 42 5.1 Background and Research Question . 42 5.2 Hypotheses . 43 5.3 Methods. 44 5.4 Results . 52 5.5 Discussion. 62 6 Study 2 . 68 6.1 Background and Research Question . 68 6.2 Hypotheses . 69 6.3 Methods. 70 6.4 Results . 75 6.5 Discussion. 83
Potassium zinc borate, KZnB3O6

The title compound, KZnB3O6 contains a remarkable [B6O12]6− group ( symmetry) formed by two rings linked by edge-sharing BO4 tetrahedra, a feature that has only been observed previously under high pressure conditions. These borate groups are connected through distorted ZnO4 tetrahedra in edge-shared pairs ( symmetry), forming a three-dimensional network whose cavities are filled by K+ cations.