Miracle-dz/UniFAR-FTUs huggingface dataset:
CM 2 News : Towards a Corpus for Multilingual Multi-Document Summarization

This paper describes the ongoing construction of CM2News, a semantic-annotated corpus for fostering research on multilingual multidocument summarization. The corpus comprises 20 clusters of news texts in English and Brazilian Portuguese languages and a set of multi-document manual and automatic summaries. All the source texts have a layer of semantic annotation at lexical level. Some clusters also have annotation at sentence level, as well as alignment of texts and human summaries. The corpus is a result delivered within the context of the Sustento Project, which aims at generating linguistic knowledge for multi-document summarization. The corpus design and the manual annotation tasks are detailed in this paper.
Transiciones asistenciales para pacientes hospitalizados

La realizacion de transiciones asistenciales seguras ha adquirido una importancia creciente con la reduccion de las estancias hospitalarias y con la discontinuidad de la asistencia relacionada con la existencia de multiples medicos y traspasos de la responsabilidad asistencial. Estas transiciones pueden tener efectos perjudiciales sobre la calidad y la seguridad de la asistencia sanitaria. Los pacientes y sus familias que entran en el reino de la asistencia hospitalaria pueden verse sorprendidos por la rapida velocidad en que esta se produce y se pueden sentir confundidos sobre la filiacion del equipo sanitario que con una frecuencia creciente no incluye al medico de atencion primaria del paciente. De forma similar, cuando los pacientes salen del hospital de cuidados intensivos y son dados de alta a un contexto ambulatorio o a otra institucion, los pacientes, sus cuidadores y los medicos ambulatorios pueden no conocer los nuevos diagnosticos y los cambios del plan terapeutico, como los nuevos farmacos o los cambios de los antiguos. Estas transiciones se hacen especialmente dificiles para los pacientes que tienen enfermedades complejas, edad avanzada y escasos conocimientos sanitarios. La transicion desde el ingreso hospitalario hasta la atencion ambulatoria no es la unica transicion que pone en peligro la asistencia de los pacientes hospitalizados. La asistencia intrahospitalaria tambien se caracteriza por muchas transiciones entre diversos profesionales para garantizar la cobertura continua durante todo el dia por medicos hospitalarios. Este proceso, con frecuencia denominado traspaso, se complica aun mas en los hospitales docentes debido a las regulaciones sobre la jornada laboral de los residentes. Con frecuencia las contradicciones entre las prioridades y las limitaciones de tiempo pueden dificultar unos traspasos eficaces, lo que puede dar lugar a fallos de comunicacion, como omisiones de contenido, que pueden tener consecuencias negativas sobre la asistencia de los pacientes [1]. En estos momentos de transicion, ingreso, hospitalizacion y alta la vulnerabilidad de los
Physical activity, fitness and health in children

Physical inactivity and low physical fitness are associated with metabolic risk factors such as insulin resistance, obesity, blood lipids and blood pressure in school aged children (Andersen et al., 2006). The closest association is found for aerobic fitness, but also physical activity and muscle strength are independently associated with clustering of metabolic risk factors. A recent Swedish study showed that aerobic fitness was related to cognitive function, and this association was found even within monozygotic twins (Aberg et al., 2009). There are therefore several reasons to promote physical activity in children. Many children are physically active, but around 10%–15% of children engage in so little physical activity that CVD risk factors cluster in these children (Andersen et al., 2003). It is therefore a great challenge to reach the least active children and prevent dropout from sports when they become adolescents. In this issue three articles contribute in different ways to our knowledge of what makes children active (Seabra et al.), how general physical activity is related to muscular fitness (Martinés-Gómes et al.), and how an intervention in the general population can increase fitness (Resaland et al.). The study of Martinés-Gómes et al. showed that vigorous physical activity measured with accelerometers, and not just resistance training, was associated with better muscle fitness. Vigorous physical activity can be achieved in sports, but also through children’s play and active commuting (Cooper et al., 2008). Seabra et al. point out that mother’s and sibling’s physical activity and peer influence are important determinants of children’s physical activity level. These determinants are all individual parameters. Some of the major changes, which have happened over time, and which have contributed to our current problems with too many sedentary children, are structural changes such as less active transport, less compulsory physical education and more computer and TV-viewing time. The study of Resaland et al. shows promising results with structural changes in physical activity in school. They succeeded to implement an intervention including 60min of daily physical activity. The children from the intervention school improved aerobic fitness almost 10%, but even more important, they found the largest improvement in the least active children, which are the children with the poorest health. These children improved aerobic fitness with 15% over the two years intervention period. According to data from the European Youth Heart Study, a 15% increase in aerobic fitness may decrease the risk of clustered CVD risk to less than one third in the least fit children (Anderssen et al., 2007). The three studies in this issue highlight the importance of finding strategies to promote general physical activity levels in the least active children. Suggestions could be to increase physical activity during school hours and promote other structural changes, which may increase active transport and play.
Recognition of distorted characters printed on metal using fuzzy logic methods

This paper is based on real application whose task was to recognize characters printed on metal ingots. The problem is that the surface of ingots is very uneven - ingots are either hot, or cut by rough instrument, the printing machine can be worn down, etc. Therefore, the first difficulty was to separate characters from the background and the second one was the fact that the separated characters are heavily distorted. It is a challenge to recognize the letters correctly. In this paper, we will present two approaches: recognition based on application of mathematical fuzzy logic and a special human behavior inspired approach.
Breakthrough cancer pain treatment in Spain: physicians’ perception of current opioids utilization and prescription

Abstract Objectives: Multiple reasons for suboptimal treatment of breakthrough cancer pain (BTcP) have been reported in the literature. We aimed to ascertain the perception of physicians on the potential inappropriate use and prescription of rapid-onset opioids (ROOs) for breakthrough cancer pain (BTcP) and the causes thereof. Methods: Observational study based on an online survey addressed to doctors from different specialties (radiation oncology, medical oncology, anesthesia, palliative care and general practitioners) with experience in the management of BTcP in the Spanish public health setting. Results: A total of 114 eligible specialists mainly from radiation oncology (37.7%), medical oncology (24.6%) and pain units (18.4%) participated in the study. Most agreed on important aspects of BTcP management, such as their preference for ROOs or the need for early follow-up after treatment initiation. However, their answers revealed a lack of standardization of BTcP diagnosis. Half of respondents believed that their BTcP patients might misuse ROOs. Physicians polled believed that lack of training in pain management (71.9%) and inadequate BTcP diagnosis and evaluation (66.7%) were the greatest obstacles for prescribing opioids. Specialists also thought that they do not provide the necessary information to patients (51.8%) and caregivers (57.9%) to guarantee the correct use of these drugs. Conclusions: These results are of utmost importance as they highlight the need to increase physicians’ awareness of BTcP and its management and the need to improve communication with patients and their caregivers. Our findings also indicate the need for future research on the possible misuse of opioids in BTcP patients and its causes.
Implementing and Validating a Comprehensive Unit-Based Safety Program

Background: The IOM identified patient safety as a significant problem. This paper describes the implementation and validation of a comprehensive unit-based safety program (CUSP) in intensive care settings. Methods: An 8-step safety program was implemented in the Weinberg ICU, with a second control (SICU) subsequently receiving the intervention. Unit improvement teams (physician, nurse, administrator) were identified to champion efforts between staff and Safety Committee. CUSP steps: (1) culture of safety assessment; (2) sciences of safety education; (3) staff identification of safety concerns; (4) senior executives adopt a unit; (5) improvements implemented from safety concerns; (6) efforts documented/analyzed; (7) results shared; and (8) culture reassessment. Results: Safety culture improved post versus pre-intervention (35% to 52% in WICU and 35% to 67% in SICU). Senior executive adoption led to patient transport teams and pharmacy presence in ICUs. Interventions from safety assessment included: medication reconciliation, short-term goals sheet and relabeling epidural catheters. One-year post-CUSP implementation, length of stay (LOS) decreased from 2 to 1 day in WICU and 3 to 2 days in SICU (P < 0.05 WICU and SICU). Medication errors in transfer orders were nearly eliminated, and nursing turnover decreased from 9% to 2% in WICU and 8% to 2% in SICU (neither statistically significant). Conclusions: CUSP successfully implemented in 2 ICUs. CUSP can improve patient safety and reduce medication errors, LOS, and potentially nursing turnover.
Oblique Incidence Performance of a Novel Frequency Selective Surface Absorber

Oblique incidence performance of a novel two-layer absorb/transmit frequency selective surface (FSS) is investigated. The FSS has good frequency stability for both horizontally and vertically polarized waves incident normally or at oblique angles. Due to its transmission for 900/1800/1900 MHz mobile bands and good absorption for 5 GHz waves, it has the potential as a security wall or isolator for 5 GHz WLAN systems. The absorption in the stop band helps reduce additional WLAN multipath fading caused by conventional reflecting FSS designs. The first layer of the FSS consists of conventional conducting cross dipoles having a circular aperture in the centre, while the second layer uses resistive cross dipoles. Moreover, the conducting cross dipoles have been sandwiched between two dielectric sheets to achieve a stable response for different angles of incidence. The periodicity of both FSS layers is the same while the distance between the two layers is reduced to one eighth of the free-space wavelength. This reduction leads to a more compact design compared to the conventional Salisbury screen, while still achieving acceptable absorption in the stopband. Both theoretical and experimental results are presented to confirm the performance of the absorb/transmit FSS.
Prediction and error in multi‐stage models for spread of aquatic non‐indigenous species

Aim Predictions of spread of non‐indigenous species allow for greater efficiency in managing invasions by targeting areas for preventative measures. The invasion sequence is a useful concept in predictions of spread, as it allows us to test hypotheses about the transport and establishment of propagules in novel habitats. Our aims are twofold: (1) to develop and validate multi‐stage invasion models for the introduced fishhook waterflea, Cercopagis pengoi, and (2) to assess how variability in the transport patterns of the propagules influences the accuracy and spatial extent for predictions of spread.
Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease

Alzheimer's disease (AD) is a genetically complex neurodegenerative disease, which leads to irreversible brain damage, severe cognitive problems and ultimately death. A number of clinical trials and study initiatives have been set up to investigate AD pathology, leading to large amounts of high dimensional heterogeneous data (biomarkers) for analysis. This paper focuses on combining clinical features from different modalities, including medical imaging, cerebrospinal fluid (CSF), etc., to diagnose AD and predict potential progression. Due to privacy and legal issues involved with clinical research, the study cohort (number of patients) is relatively small, compared to thousands of available biomarkers (predictors). We propose a hybrid pathological analysis model, which integrates manifold learning and Random Vector functional-link network (RVFL) so as to achieve better ability to extract discriminant information with limited training materials. Furthermore, we model (current and future) cognitive healthiness as a regression problem about age. By comparing the difference between predicted age and actual age, we manage to show statistical differences between different pathological stages. Verification tests are conducted based on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Extensive comparison is made against different machine learning algorithms, i.e. Support Vector Machine (SVM), Random Forest (RF), Decision Tree and Multilayer Perceptron (MLP). Experimental results show that our proposed algorithm achieves better results than the comparison targets, which indicates promising robustness for practical clinical implementation.
Research on nitrogen removal of secondary effluent of wastewater treatment plant in horizontal subsurface-flow constructed wetlands

By investigating the nitrogen concentrations in effluents of the horizontal subsurface-flow constructed wetlands under the conditions of different kinds of substrates, residence time and heights, as well as the nitrogen concentrations changes along the flow in the wetlands, the nitrogen removal routes in the wetlands were analyzed. The results demonstrated that the wetland system with zeolites demonstrated greater efficiency in the removal of nitrogen. There was a higher nitrogen removal rates at the bottom of the wetland system owing to an aerobic-anoxic environment. In that a more efficient reoxygenation was attained at the front of the system, it achieved a higher nitrogen removal rates.
Introduction: Economics and Interdisciplinary Approaches in Migration Research

This special issue explores options for the better integration of economics into interdisciplinary research on migration. Papers include work by economists and other social scientists, showcasing both the extension of economic models to incorporate concepts from other disciplines, as well as work in sociology and political science that draws on economics. Of particular interest are models of networks, social capital and cumulative causation, as well as analyses using the rational actor model outside of economics. We conclude that, while there are substantial benefits to interdisciplinary cooperation, economists tend to resist full integration, preferring to incorporate insights and concepts from other social sciences without revising their core theoretical tenets, especially the commitment to utility-maximising agents. Nonetheless, dialogue between the disciplines can encourage researchers to clarify and refine their chosen research approach. Moreover, the co-existence of diverse approaches to social explanation produces a far richer and more variegated body of knowledge on migration.
Reliability evaluation in power distribution system planning studies

In distribution system planning studies, reliability evaluation is performed during optimization procedure to calculate the interruption cost, DISCO's income and to check the viability of constraints related to reliability indices. In each iteration of the optimization algorithm a special plan is evaluated that is different from other plans. So the configuration and specification of the network which is one of the input information for reliability evaluation is changing continuously that makes difficulties for this evaluation. To solve these difficulties, this paper presents a systematic method for reliability evaluation in distribution planning studies. The proposed approach can be implemented as a subprogram in comprehensive software of distribution system planning and design.
Optimal Kernel Marginal Fisher Analysis for Face Recognition

Nonlinear dimensionality reduction and face classifier selection are two key issues of face recognition. In this paper, an efficient face recognition algorithm named OKMFA is proposed. The core idea of the algorithm is as follows. First, the high-dimensional face images are mapped into lower-dimensional discriminating feature space by using the feature vector selection-based optimal kernel marginal Fisher analysis(KMFA), then the multiplicative update rule-based optimal SVM classifier is applied to recognize different facial images herein. Extensive experimental results on two benchmark face databases demonstrate the effectiveness and efficiency of the proposed algorithm.
No Evidence of Murine-Like Gammaretroviruses in CFS Patients Previously Identified as XMRV-Infected

Chronic fatigue syndrome patients reported previously to be XMRV-infected show no signs of the virus in an independent evaluation. Members of the gammaretroviruses—such as murine leukemia viruses (MLVs), most notably XMRV [xenotropic murine leukemia virus (X-MLV)–related virus—have been reported to be present in the blood of patients with chronic fatigue syndrome (CFS). We evaluated blood samples from 61 patients with CFS from a single clinical practice, 43 of whom had previously been identified as XMRV-positive. Our analysis included polymerase chain reaction and reverse transcription polymerase chain reaction procedures for detection of viral nucleic acids and assays for detection of infectious virus and virus-specific antibodies. We found no evidence of XMRV or other MLVs in these blood samples. In addition, we found that these gammaretroviruses were strongly (X-MLV) or partially (XMRV) susceptible to inactivation by sera from CFS patients and healthy controls, which suggested that establishment of a successful MLV infection in humans would be unlikely. Consistent with previous reports, we detected MLV sequences in commercial laboratory reagents. Our results indicate that previous evidence linking XMRV and MLVs to CFS is likely attributable to laboratory contamination.
A modified word serial bit parallel algorithm for FPGA implementation of digital ionospheric radar

Digital signal processing (DSP) has become an integral part of wireless communication systems and equivalent traditional analog systems can be developed with required fidelity at reasonable cost. In a previous work, a DSP technique is employed for radar upconversion using combinations of upsampling and narrow band FIR filtering. An efficient FPGA implementation of the DSP modulator is possible exploiting filter symmetry since symmetrical properties of word serial bits parallel (WSBP) FIR filters improve system throughput. However arithmetic processing rate for the WSBP symmetric models is higher than that of the non-symmetric models. In this paper we present a modified WSBP symmetrical algorithm to reduce the arithmetic processing for implementation of direct conversion ionospheric radar. In WSBP approach processing is performed in integers as block of bits. Matching and buffering criterion are used to reduce computations up to fifty percent. The algorithm can be extended to applications with similar characteristics particularly for system on chip (SOC) techniques.
Sendai Virus RNA-dependent RNA Polymerase L Protein Catalyzes Cap Methylation of Virus-specific mRNA*

The Sendai virus (SeV) RNA-dependent RNA polymerase complex, which consists of L and P proteins, participates in the synthesis of viral mRNAs that possess a methylated cap structure. To identify the SeV protein(s) involved in mRNA cap methylation, we developed an in vitro assay system to detect mRNA (guanine-7-)methyltransferase (G-7-MTase) activity. Viral ribonucleoprotein complexes and purified recombinant L protein but not P protein exhibited G-7-MTase activity. On the other hand, mRNA synthesis in a reconstituted transcription system using purified N-RNA (N protein-genomic RNA) complex as a template required both the L and P proteins. The enzymatic properties of SeV G-7-MTase were different from those of cellular G-7-MTase. In particular, unlike cellular G-7-MTase, the SeV enzyme preferentially methylated capped RNA containing the viral mRNA 5′-end sequences (GpppApGpG-). The C-terminal part (amino acid residues 1,756–2,228) of the L protein catalyzed cap methylation, whereas the N-terminal half (residues 1–1,120) containing putative RNA polymerase subdomains did not. This is to our knowledge the first direct biochemical evidence that supports the idea that mononegavirus L protein catalyzes cap methylation as well as RNA synthesis.
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the scientific results obtained by the winners of the 2-D contest, which studied either the complementarity of RGB and LiDAR with deep neural networks (winning team) or provided a comprehensive benchmarking evaluation of new classification strategies for extremely high-resolution multimodal data (runner-up team). The data and the previously undisclosed ground truth will remain available for the community and can be obtained at http://www.grss-ieee.org/community/technical-committees/data-fusion/2015-ieee-grss-data-fusion-contest/. The 3-D part of the contest is discussed in the Part-B paper [1].