Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Word Translations in Non-Parallel Texts

Common algorithms for sentence and word-alignment allow the automatic identification of word translations from parallel texts. This study suggests that the identification of word translations should also be possible with non-parallel and even unrelated texts. The method proposed is based on the assumption that there is a correlation between the patterns of word co-occurrences in texts of different languages.
Security problems with a SC-CNN-based Chaotic Masking Secure Communication System

This paper studies the security of a chaotic cryptosystem based on the Chua circuit and implemented with State Controlled Cellular Neural Networks. It is shown that the plaintext can be retrieved by ciphertext band-pass filtering after an imperfect decoding with wrong receiver parameters. It is also shown that the key space of the system can be notably reduced easing a brute force attack. The system parameters were determined with high precision through the analysis of the decoding error produced by the mismatch between receiver and transmitter parameters.
Solution structure of HI1506, a novel two‐domain protein from Haemophilus influenzae

HI1506 is a 128‐residue hypothetical protein of unknown function from Haemophilus influenzae. It was originally annotated as a shorter 85‐residue protein, but a more detailed sequence analysis conducted in our laboratory revealed that the full‐length protein has an additional 43 residues on the C terminus, corresponding with a region initially ascribed to HI1507. As part of a larger effort to understand the functions of hypothetical proteins from Gram‐negative bacteria, and H. influenzae in particular, we report here the three‐dimensional solution NMR structure for the corrected full‐length HI1506 protein. The structure consists of two well‐defined domains, an α/β 50‐residue N‐domain and a 3‐α 32‐residue C‐domain, separated by an unstructured 30‐residue linker. Both domains have positively charged surface patches and weak structural homology with folds that are associated with RNA binding, suggesting a possible functional role in binding distal nucleic acid sites.
Heating of Intergalactic Gas and Cluster Scaling Relations

X-ray observations of galaxy groups and clusters are inconsistent with the predictions of the simplest hierarchical clustering models, wherein nonbaryonic and baryonic components are assembled together under the sole influence of gravity. These departures are in the sense that the intergalactic medium is hotter and more extended than expected, and become increasingly strong for less massive systems. I model these effects by constructing baseline sequences of hydrostatic polytropic models normalized to observations of high-temperature clusters and numerical simulations, and then transforming them by adding proscribed amounts of heat per particle at the cluster center. I present sequences with a universal value of this heating parameter that simultaneously reproduce recently published observed (gas and total gravitational) mass-temperature and entropy-temperature relations. The required amount of energy injection is consistent with constraints on the number of supernovae needed to account for observed intracluster silicon abundances, provided that energy injection is centrally concentrated. I argue that most of the heating occurred during or after the assembly of the cluster, and not exclusively in precollapse protocluster fragments.
On the Particle-Assisted Stochastic Search Mechanism in Wireless Cooperative Localization

The wireless cooperative localization plays a key role in location-aware service. However, its objective function, e.g., the posteriori probability function, is commonly nonconvex due to nonlinear measurement function and/or non-Gaussian system disturbance. Moreover, due to the unavoidable reference node location error, the associated objective function is commonly intractable, which further complicates the cooperative localization. In this paper, a novel particle-assisted stochastic search (PASS) algorithm is proposed to realize the cooperative localization. Given a nonconvex objective function, the proposed PASS method can find out the global optimum in probability, assisted with its search particles, detection particles, and proposal particles. In addition, the PASS algorithm can harness the reference node location uncertainties in cooperative localization, by employing its proposal particles. The associated Cramer-Rao lower bound (CRLB), localization error propagation, computational complexity, and convergence properties are also presented to assess the proposed PASS-based cooperative localization. Finally, received signal strength-based localization is simulated to validate the effectiveness of the proposed PASS approach.
The role of diversity practices and inclusion in promoting trust and employee engagement

This paper investigates the association of diversity practices with an important aspect of workplace well-being, engagement. It was hypothesized that this association would be mediated by trust climate, and that this mediation relationship would be stronger when employees experienced feelings of inclusion in the workplace. Using a sample of 4,597 health sector employees, results indicated that diversity practices are associated with a trusting climate that, in turn, is positively related to employee engagement. Furthermore, the relationship between diversity practices and trust climate was moderated by inclusion. Theoretical and practical implications of the study are discussed along with recommendations for future research.
Discovering interesting usage patterns in text collections: integrating text mining with visualization

This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to support the analysis of text collections. Our system, FeatureLens1, visualizes a text collection at several levels of granularity and enables users to explore interesting text patterns. The current implementation focuses on frequent itemsets of n-grams, as they capture the repetition of exact or similar expressions in the collection. Users can find meaningful co-occurrences of text patterns by visualizing them within and across documents in the collection. This also permits users to identify the temporal evolution of usage such as increasing, decreasing or sudden appearance of text patterns. The interface could be used to explore other text features as well. Initial studies suggest that FeatureLens helped a literary scholar and 8 users generate new hypotheses and interesting insights using 2 text collections.
Electrocardiographic Criteria of True Left Bundle Branch Block: A Simple Sign to Predict a Better Clinical and Instrumental Response to CRT

Background: Cardiac resynchronization therapy (CRT) has proved to be very effective in improving morbidity and mortality in patients affected with severe congestive heart failure. Its efficacy has been shown to be greater in patients with left bundle branch block (LBBB). The aim of our study was to verify if newly proposed criteria for true LBBB identify patients with a better clinical and instrumental response to CRT.
Hypertension and Happiness across Nations

In surveys of well-being, countries like Denmark an d the Netherlands emerge as particularly happy while nations such as Germany an d Italy report markedly lower levels of happiness. But are these findings credible? This paper provides evidence that the answer is yes. It does so, using data on 16 countries, by showing that happier nations also report systematic ally lower levels of hypertension. As well as validating the difference s in happiness across nations, this suggests that blood-pressure readings might be valuable as part of a national well-being index. Finally, we produce a new rankin g of European nations’ GHQ N6 mental-health scores.
A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project

International Computer Science Institute (ICSI), USA(Author list is alphabetical with the exception of the typist.)ABSTRACTThis paper describes the research underway for the ESPRITWERNICKE project. The project brings together a num-ber of different groups from Europe and the US and focuseson extending the state-of-the-art for hybrid hidden Markovmodel/connectionist approaches to large vocabulary, continu-ous speech recognition. Thispaper describes the speciﬁc goalsoftheresearchandpresentstheworkperformedtodate. Resultsare reported for the resource management talker-independentrecognition task. The paper concludes with a discussion of theprojected future work.Keywords: Recognition, Neural Nets, HMM.1. BACKGROUNDW
Identification of TAX2 peptide as a new unpredicted anti-cancer agent

The multi-modular glycoprotein thrombospondin-1 (TSP-1) is considered as a key actor within the tumor microenvironment. Besides, TSP-1 binding to CD47 is widely reported to regulate cardiovascular function as it promotes vasoconstriction and angiogenesis limitation. Therefore, many studies focused on targeting TSP-1:CD47 interaction, aiming for up-regulation of physiological angiogenesis to enhance post-ischemia recovery or to facilitate engraftment. Thus, we sought to identify an innovative selective antagonist for TSP-1:CD47 interaction. Protein-protein docking and molecular dynamics simulations were conducted to design a novel CD47-derived peptide, called TAX2. TAX2 binds TSP-1 to prevent TSP-1:CD47 interaction, as revealed by ELISA and co-immunoprecipitation experiments. Unexpectedly, TAX2 inhibits in vitro and ex vivo angiogenesis features in a TSP-1-dependent manner. Consistently, our data highlighted that TAX2 promotes TSP-1 binding to CD36-containing complexes, leading to disruption of VEGFR2 activation and downstream NO signaling. Such unpredicted results prompted us to investigate TAX2 potential in tumor pathology. A multimodal imaging approach was conducted combining histopathological staining, MVD, MRI analysis and μCT monitoring for tumor angiography longitudinal follow-up and 3D quantification. TAX2 in vivo administrations highly disturb syngeneic melanoma tumor vascularization inducing extensive tumor necrosis and strongly inhibit growth rate and vascularization of human pancreatic carcinoma xenografts in nude mice.
Compartmentalized Notch signaling sustains epithelial mirror symmetry

Bilateral symmetric tissues must interpret axial references to maintain their global architecture during growth or repair. The regeneration of hair cells in the zebrafish lateral line, for example, forms a vertical midline that bisects the neuromast epithelium into perfect mirror-symmetric plane-polarized halves. Each half contains hair cells of identical planar orientation but opposite to that of the confronting half. The establishment of bilateral symmetry in this organ is poorly understood. Here, we show that hair-cell regeneration is strongly directional along an axis perpendicular to that of epithelial planar polarity. We demonstrate compartmentalized Notch signaling in neuromasts, and show that directional regeneration depends on the development of hair-cell progenitors in polar compartments that have low Notch activity. High-resolution live cell tracking reveals a novel process of planar cell inversions whereby sibling hair cells invert positions immediately after progenitor cytokinesis, demonstrating that oriented progenitor divisions are dispensable for bilateral symmetry. Notwithstanding the invariably directional regeneration, the planar polarization of the epithelium eventually propagates symmetrically because mature hair cells move away from the midline towards the periphery of the neuromast. We conclude that a strongly anisotropic regeneration process that relies on the dynamic stabilization of progenitor identity in permissive polar compartments sustains bilateral symmetry in the lateral line.
Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: a phantom study.

UNLABELLED Coregistration of images from a single subject, acquired by different modalities, is important in clinical diagnosis, surgery and therapy planning. The purpose of this study was to evaluate, using a physical torso phantom, a novel, fully automated method for three-dimensional image registration of CT and SPECT, using radionuclide transmission (RNT) attenuation maps. METHODS We obtained CT scans and SPECT scans paired with RNT maps of an anthropomorphic cardiac phantom. RNT attenuation maps were acquired using an uncollimated 99mTc-filled flood source. RNT and SPECT scans were acquired in the same spatial orientation (usual clinical practice in nonuniform attenuation correction). In addition, CT attenuation maps (CTMAPs) for 99mTc SPECT were generated from CT by linear energy scaling. RNT maps were registered to CT and CTMAPs by iterative simplex minimization of count difference and uniformity index (sum of RNT map intensity variances corresponding to each intensity level in the CT volume). In each iteration, three shifts and three angles were adjusted. To register SPECT to CT, we applied the RNT transformation parameters to SPECT. RESULTS RNT maps could be registered to CT and CTMAP images using both criteria. The average three-dimensional distance between landmark and automated registration was 2.5 +/- 1.2 mm for count difference and 3.3 +/- 1.3 mm for uniformity index. The three-dimensional reproducibility errors were 1.2 +/- 0.7 mm for count difference, 2.1 +/- 0.5 mm for uniformity index and 2.3 +/- 1.0 mm for manual marker registration. The minimization of uniformity index was robust when up to 50% CT or RNT slices were missing and was not affected significantly (<2 mm) by realistic variation in CT values (+/- 12 Hounsfield units). CONCLUSION In addition to typical use in nonuniform attenuation correction, RNT maps can be used for fully automated three-dimensional registration of SPECT to CT. Such registration is not affected by features and quality of SPECT images and avoids difficulties associated with fiducial markers. Our method can be applied to SPECT-CT registration of various organs, such as brain, heart, lungs, breasts and abdomen, including oncological scans.
Implementation and Analysis of Density based Location Aware Routing in Intermittently Connected MANETs

Mobile Ad-Hoc Networks (MANETS)[7] are an emerging technology that allows establishing instant communication infrastructures for civilian and military applications. An Intermittently Connected Mobile Ad hoc Networks (ICMANET)[4] operates in environments where the nodes do not form a completely connected network. Existing geographical routing protocol like location-aware routing for delay-tolerant networks (LAROD)[1,3] enhanced with a location service has shown to work well in IC-MANET. But the challenge here is to design a routing protocol to handle intermittently connectivity and dense/sparse topologies and also the performance of this geographical routing protocol degrades with varying network node densities such as sparse and dense topologies. For sparse systems, distribution of location information will probably be very slow. For dense systems, the transfer of location data may start to consume too much bandwidth locally at the dense areas. In this work, we propose a density based geographical routing algorithm called density based location-aware routing for delay tolerant networks (DLAROD). D-LAROD calculates the density of the network based on location of the neighboring nodes information that counter for every route update that is performed at the time of route discovery process. The D-LAROD scheme is compared with the existing LAROD protocol[1] and is shown to have a competitive edge, both in terms of delivery ratio and overhead.
Miniaturized reconfigurable and switchable filter from UWB to 2.4 GHz WLAN using PIN diodes

This paper reports a new miniaturized reconfigurable and switchable filter from UWB to 2.4 GHz WLAN bands by using pin diodes. First, a reconfigurable filter is developed which changes from bandstop to bandpass filter at the same UWB spectrum. This bandstop filter consists of two bended open stubs of quarter-wavelength and a connecting stub of half-wavelength. The bandstop filter reconfigure to bandpass filter when the two open bended stubs are shorted to ground using Avago's RF pin diode. Different design parameters are evaluated for the reconfigurable filter. A switchable filter is developed by connecting half wavelength stub to the reconfigurable filter. This switchable bandpass filter changes from UWB to 2.4 GHz WLAN by turning ON the pin diodes. The measurement results of the reconfigurable filter in the bandstop state shows a rejection bandwidth of 2.2 GHz and the insertion loss in the passband of 1.9 dB and similarly the reconfigurable filter in the bandpass state shows the insertion loss of 2.1 dB and 3-dB bandwidth from 3.6 GHz to 10.5 GHz. The switchable bandpass filter at 2.4 GHz shows an insertion loss of 0.9 dB and 3 dB bandwidth of 400 MHz. The area of the filter is (λg / 4)2, while the area of the filter realized using the non bending stubs and connecting lines is 2(λg / 4)2
Design and implementation of a high throughput soft output MIMO detector

In this paper, a new soft output MIMO decoder based on the k-best search scheme and additional partial Euclidian distance (PED) update schemes is developed. The k-best framework facilitates a constant throughput implementation and the PED update schemes help achieve a more accurate log-likelihood ratio (LLR) calculation. A LLR clamping technique is further adopted to enhance the BER performance when combining with the LDPC coding. Simulation results indicate the effectiveness of the proposed PED update schemes against previous works. Efficient architecture design is next developed capable of accomplishing one 4×4 MIMO signal vector detection every 4 clock cycles. In FPGA implementation, the maximum working frequency can be up to 121.3MHz and suggests a 720Mbps data rate for a 4×4 MIMO system using 64QAM modulation.
Multi-parameter Hopf-bifurcation in HHM Model Exposed to ELF Electric Field

The variation of cell trans-membrane voltage exposed to extremely low frequency (ELF) electric field is analyzed; a modified Hodgkin-Huxley model of muscle (HHM) is established by introducing a new parameter denoting the effect of external electric field, and the bifurcation caused by the new parameter as well as leakage conductance and sodium ions anti-electromotive force is studied. The algebra criterion in high dimension equations is employed to perform the analysis of multi-parameter dynamical bifurcation. The results are of biological significance and suggest that the aberration of dynamics in bio-systems may be accounted for diseases caused by electric exposure
Cutting Edge: B and T Lymphocyte Attenuator Signaling on NKT Cells Inhibits Cytokine Release and Tissue Injury in Early Immune Responses1

The role of coinhibition in an immune response is thought to be critical for the contraction of an adaptive immune response in its waning phases. We present evidence that B and T lymphocyte attenuator (BTLA) coinhibitory signaling is required to temper early inflammation. Using an in vivo Con A challenge model of acute hepatitis, we observed reduced survival and increased early serum cytokine secretion in BTLA−/− mice as compared with wild-type mice. In vitro, liver mononuclear cells from BTLA−/− mice are hyperresponsive to anti-CD3, Con A, and α-galactosylceramide stimulation and secrete higher levels of TNF-α, IFN-γ, IL-2, and IL-4. We found this was in part due to negative regulation of NKT cells by BTLA, as early cytokine inhibition from whole liver mononuclear cells or purified NKT cells depends upon BTLA signaling. Overall, our data demonstrate that coinhibition is active in early immune responses through BTLA regulation of NKT cells.
Pervasive urban crowdsourcing: Visions and challenges

Pervasive computing technologies can enable very flexible situated collaboration patterns among citizens and, via crowdsourcing, can promote a participatory way of contributing to the wealth and quality of life of our urban environments. This position paper firstly sketches a future vision of pervasive computing rich and crowdsourcing-enabled urban environments. Then, it presents several case studies showing how such environments can be of great use and highly impactful from both the individual and societal viewpoint. Finally, it discusses several open research challenges to be faced for these ideas to become reality.
Poster : Privacy-Preserving String Search for Genome Sequences using Fully Homomorphic Encryption

Privacy protection for personal genome analyses is one of the emerging issues in the area of medical genomics. We assume the general case where a user would like to compute some sort of score based on a similarity search between a query and a database. In this study, we propose a cryptographic protocol using fully homomorphic encryption (FHE) that enables searching on genome sequences and still allows computation of the score based on the search result. In our method, we use the state-of-the-art technique that combines the recursive oblivious transfer and the efficient discrete data structure that allows linear time searching. In an experiment using a data set created from the 1,000 genome project data, it took 535 seconds for searching a query on 2,184 personal genomes. Though FHE is highly inefficient, our proposed optimization method reduces the runtime, which is only approximately 10 times longer than the previous scheme. This may be considered in some applications as an allowable trade-off with the fully enhanced subsequent functionality.
Reward Value-Based Gain Control: Divisive Normalization in Parietal Cortex

The representation of value is a critical component of decision making. Rational choice theory assumes that options are assigned absolute values, independent of the value or existence of other alternatives. However, context-dependent choice behavior in both animals and humans violates this assumption, suggesting that biological decision processes rely on comparative evaluation. Here we show that neurons in the monkey lateral intraparietal cortex encode a relative form of saccadic value, explicitly dependent on the values of the other available alternatives. Analogous to extra-classical receptive field effects in visual cortex, this relative representation incorporates target values outside the response field and is observed in both stimulus-driven activity and baseline firing rates. This context-dependent modulation is precisely described by divisive normalization, indicating that this standard form of sensory gain control may be a general mechanism of cortical computation. Such normalization in decision circuits effectively implements an adaptive gain control for value coding and provides a possible mechanistic basis for behavioral context-dependent violations of rationality.