Miracle-dz/UniFAR-FTUs huggingface dataset:
The discarding points-FBLMS algorithm in PBR

This paper deals with the problem of clutter cancellation in passive bistatic radar (PBR), the cancellation performance of the frequency-domain block least-mean-square (FBLMS) algorithm is limited in presence of the clutter ahead of the reference signal. In order to address it, the discarding point-FBLMS (DP-FBLMS) algorithm is proposed, which discards appropriate points of the reference signal, and combine the original echo signal to perform FBLMS algorithm. Furthermore, the criterion used for discarding point is also given. In order to not affect subsequent target detection, the original reference signal and cancellation output are fed to cross-correlation process. Finally, the effectiveness of the proposed method has been verified by simulated data and real-life data.
Robust acoustic-based syllable detection

In this paper, we describe a method to detect syllabic nuclei in continuous speech. It employs two basic and robust acoustic features, periodicity and energy, to detect syllable landmarks. This method is evaluated on TIMIT, noise additive TIMIT and NTIMIT datasets with typical total error rates of around 30% in all the datasets, except for extremely adverse 0dB signal-noise-ratio environments, while HMM-based systems degrade rigorously. Based on the landmarks, a vowel classifier is further constructed and achieves the same performance as HMM-based systems.
Microcystin Contamination in Sea Mussel Farms from the Italian Southern Adriatic Coast following Cyanobacterial Blooms in an Artificial Reservoir

An experimental study was performed in 2009-2010 to investigate the polluting effect of eutrophic inland waters communicating with the sea coast. The study was planned after a heavy and long-lasting Planktothrix rubescens bloom occurred in the Lake Occhito, an artificial reservoir. The waters of the reservoir flow into the southern Adriatic Sea, near several marine breeding of Mytilus galloprovincialis mussels, a typical seafood from the Apulia region (Southern Italy). A monitoring study of water and mussels from the sea coast of northern Apulia region and on the Occhito reservoir was carried out over twelve months, to get more information regarding the contamination by cyanobacteria and related cyanotoxins. Elisa immunoassay analyses estimated total microcystin amounts from 1.73 to 256 ng/g in mussels, up to 0.61 μg/L in sea water and up to 298.7 μg/L in lake water. Analyses of some samples of free-living marine clams as well as of marine and freshwater fish proved microcystin contamination. Selective confirmatory analyses by LC/ESI-Q-ToF-MS/MS on some mussel samples identified the microcystin desMe-MC-RR as the major toxin; this compound has been reported in the literature as a specific marker toxin of Planktothrix rubescens blooms. Our study describes for the first time the direct relationship between environmental pollution and food safety, caused by seafood contamination from freshwater toxic blooms.
Multiscale Sparse Image Representationwith Learned Dictionaries

This paper introduces a new framework for learning multiscale sparse representations of natural images with overcomplete dictionaries. Our work extends the K-SVD algorithm [1], which learns sparse single-scale dictionaries for natural images. Recent work has shown that the K-SVD can lead to state-of-the-art image restoration results [2, 3]. We show that these are further improved with a multi-scale approach, based on a Quadtree decomposition. Our framework provides an alternative to multiscale pre-defined dictionaries such as wavelets, curvelets, and contourlets, with dictionaries optimized for the data and application instead of pre-modelled ones.
Central and peripheral components of exercise‐related fatigability in myotonic dystrophy type 1

Boërio D, Lefaucheur J‐P, Bassez G, Hogrel J‐Y. Central and peripheral components of exercise‐related fatigability in myotonic dystrophy type 1. Acta Neurol Scand: 2012: 125: 38–46. © 2011 John Wiley & Sons A/S.
Multidisciplinary identification of clupeiform fishes from the Southwestern Atlantic Ocean

In the Southwestern Atlantic Ocean, several described species of Clupeiformes overlap their geographical distribution in the coastal areas from Rio Grande do Sul (Southern Brazil) to Bahia Blanca (Argentina) and the Rio de la Plata estuary. Larvae and juveniles of the SW Atlantic menhaden Brevoortia aurea are very difficult to discriminate from those of other clupeids belonging to the genera Platanichthys andRamnogaster inhabiting the same environments. Here we implemented phylogenetic analyses based on mitochondrial cytochrome b sequences and morphometric and osteological studies to achieve unambiguous species recognition in different ontogenetic stages of six endemic species of Clupeiformes from the Southwestern Atlantic Ocean. All phylogenetic analyses based on the cytochrome b gene yielded a robust support to the existence of highly structured and monophyletic groups conforming clupeiforms taxa. These monophyletic entities were consistent with major groups accessed through the first two principal components (PCs) from morphometric variation among taxa. Both approaches resulted in accurated and complementary tools for the individual assignment in clades and groups within Clupeiformes during different ontogenetic stages in their life cycle. The detection of species-specific spawning and nursery areas through accurated methodological approaches of identification constitute a prerequisite for a sustainable management in pelagic fisheries. Key words: Estuarine, clupeiformes, identification, morphology, cytochrome b.
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond

This paper presents a finite-time analysis of the KL-UCB algorithm, an online, horizon-free index policy for stochastic bandit problems. We prove two distinct results: first, for arbitrary bounded rewards, the KL-UCB algorithm satisfies a uniformly better regret bound than UCB or UCB2; second, in the special case of Bernoulli rewards, it reaches the lower bound of Lai and Robbins. Furthermore, we show that simple adaptations of the KL-UCB algorithm are also optimal for specific classes of (possibly unbounded) rewards, including those generated from exponential families of distributions. A large-scale numerical study comparing KL-UCB with its main competitors (UCB, UCB2, UCB-Tuned, UCB-V, DMED) shows that KL-UCB is remarkably efficient and stable, including for short time horizons. KL-UCB is also the only method that always performs better than the basic UCB policy. Our regret bounds rely on deviations results of independent interest which are stated and proved in the Appendix. As a by-product, we also obtain an improved regret bound for the standard UCB algorithm.
The Time Course of Emotion Effects in First and Second Language Processing: A Cross Cultural ERP Study with German–Spanish Bilinguals

To investigate whether second language processing is characterized by the same sensitivity to the emotional content of language – as compared to native language processing – we conducted an EEG study manipulating word emotional valence in a visual lexical decision task. Two groups of late bilinguals – native speakers of German and Spanish with sufficient proficiency in their respective second language – performed each a German and a Spanish version of the task containing identical semantic material: translations of words in the two languages. In contrast to theoretical proposals assuming attenuated emotionality of second language processing, a highly similar pattern of results was obtained across L1 and L2 processing: event related potential waves generally reflected an early posterior negativity plus a late positive complex for words with positive or negative valence compared to neutral words regardless of the respective test language and its L1 or L2 status. These results suggest that the coupling between cognition and emotion does not qualitatively differ between L1 and L2 although latencies of respective effects differed about 50–100 ms. Only Spanish native speakers currently living in the L2 country showed no effects for negative as compared to neutral words presented in L2 – potentially reflecting a predominant positivity bias in second language processing when currently being exposed to a new culture.
TURGO SOCIETY'S ENVIRONMENT WISDOM IN MANAGING NATURAL RESOURCES AND THE ENVIRONMENT

Turgo is the closest village to Mount Merapi and a disaster-prone area. This research aims to study the social, economic, and cultural characteristics of Turgo society and understand the rules and values prevailing in the usage of natural resources and the environment. The research was conducted in Turgo, Purwobinangun, Pakem, Sleman, DIY (Yogyakarta Special Province). The research was conducted qualitatively and quantitatively, data retrieval was done by in-depth interviews and identifying the diversity of cultivated plants and husbandry animals. Respondents included village officials, community leaders and the society that were determined by random sampling as many as 20 families. Data were analysed descriptively, and the analysis of the biological environment quality used Soerjani’s criteria in Fandeli, et al. (2006). The results of the analysis of the biological environment quality show that the diversity of flora and beneficial flora in Turgo are excellent. Farming is done on the basis of the local environment wisdom by combining woody plants, crops and livestock with traditional agro-forestry system (Thaman in Sarjono, 2003). Turgo society lives in harmony, applies the subsistence agriculture, upholds traditions, spiritual and cultural life, conserves biodiversity and preserves the environment, so that these keep the balance among ecological, socio-economic and cultural spiritual aspects that is the characteristics of eco-village by Arifin, et al. (2009).
Stratified shear turbulence: Evolution and statistics

The highest‐resolution 3D direct numerical simulations to date of Kelvin‐Helmholtz instability are reported. The ensuing turbulence spans a broad range of spatial scales and exhibits Kolmogorov spectra in horizontal planes. Non‐Gaussian statistics are observed, with highly intermittent entrainment zones at the edges of the resulting shear layer. Profiles of the local gradient‐Richardson number are presented and shown to remain less than 1/4 throughout the entire evolution of the turbulence.
Vaccinia Virus Interactions with the Cell Membrane Studied by New Chromatic Vesicle and Cell Sensor Assays

ABSTRACT The potential danger of cross-species viral infection points to the significance of understanding the contributions of nonspecific membrane interactions with the viral envelope compared to receptor-mediated uptake as a factor in virus internalization and infection. We present a detailed investigation of the interactions of vaccinia virus particles with lipid bilayers and with epithelial cell membranes using newly developed chromatic biomimetic membrane assays. This analytical platform comprises vesicular particles containing lipids interspersed within reporter polymer units that emit intense fluorescence following viral interactions with the lipid domains. The chromatic vesicles were employed as membrane models in cell-free solutions and were also incorporated into the membranes of epithelial cells, thereby functioning as localized membrane sensors on the cell surface. These experiments provide important insight into membrane interactions with and fusion of virions and the kinetic profiles of these processes. In particular, the data emphasize the significance of cholesterol/sphingomyelin domains (lipid rafts) as a crucial factor promoting bilayer insertion of the viral particles. Our analysis of virus interactions with polymer-labeled living cells exposed the significant role of the epidermal growth factor receptor in vaccinia virus infectivity; however, the data also demonstrated the existence of additional non-receptor-mediated mechanisms contributing to attachment of the virus to the cell surface and its internalization.
Scaling Scrum in a Large Globally Distributed Organization: A Case Study

We present a case study on scaling Scrum in a large globally distributed software development project at Nokia, a global telecommunications company. We discuss how the case project scaled Scrum while growing from two collocated Scrum teams to 20 teams located in four countries and employing a total of 170 persons. Moreover, we report scaling challenges the case project faced during this 2,5 year journey. We gathered data by 19 semi-structured interviews of project personnel from two sites, interviewees comprising different roles including managers, architects, product owners, developers and testers. The project was highly successful from the business point of view, as agile enabled fast response to customer requirements. However, the project faced significant challenges in scaling Scrum despite attempts at applying the Large-scale Scrum (LeSS) framework. The organization experimented with different ways of implementing scaling practices like implementing common sprint planning meetings, Scrum-of-Scrums meetings, common demos and common retrospectives, as well as scaling the Product Owner role. We conclude the paper by reflecting on the scaling approach used in the case organization in contrast to the LeSS framework.
Psoriatic arthritis in Reykjavik, Iceland: prevalence, demographics, and disease course.

OBJECTIVE To determine the prevalence, demographics, and course of psoriatic arthritis (PsA) in the Reykjavik area of Iceland. METHODS In total 220 patients >/= 18 years of age living in the Reykjavik area of Iceland were located in a community registry of psoriatic patients and in hospital records. Of these, 156 (71%) were interviewed and examined for verification of skin and joint disease according to published criteria. RESULTS Prevalence of PsA in the adult population was estimated to be 164 per 100,000 (95% CI 143-187), adjusted to 139 per 100,000 (95% CI 112-169) after exclusion of 25 individuals. The female to male ratio was close to 2:1. The mean age at skin disease onset was 23 years, with significantly earlier onset in women (age 20 yrs in women vs 26 yrs in men; p = 0.01), but there was no significant difference for age at the time of onset of joint disease. Mean duration of PsA was 20 years. Oligoarthritis was the most common (44%), followed by polyarthritis (31%), enthesitis (8%), and inflammatory back pain (7%). According to patients' recall of clinical features at onset, 78 patients (60%) had changed categories of PsA at the time of the study, most frequently from polyarthritis to oligoarthritis (48%), followed by oligoarthritis to polyarthritis (36%). These changes seemed independent of use of disease modifying drugs, which 54% had received. CONCLUSION PsA in Reykjavik, Iceland, has a prevalence of at least 0.14% and is strikingly more common in women. The majority of patients reported a change in the pattern of affected joints during the course of their disease.
Relationships between personality dimensions: neuroticism and extraversion against obsessive, hysterical and oral personality.

This paper reports relationships between two sets of personality dimensions, one of neuroticism and extraversion derived from the work of Eysenck, the other of obsessive, hysterical and oral personality, depending particularly on psychoanalytic formulations. The former were measured by the Maudsley Personality Inventory, the latter by a self-report inventory and interview with relatives. Subjects were recovered depressed patients. Relations between the two sets of dimensions were examined by correlations and principal component analysis. Obsessive personalities were found to be primarily non-neurotic; hysterical personalities were neurotic and extraverted; oral dependent personalities were neurotic and introverted. Attention is drawn to the need to distinguish obsessive personality from obsessional symptoms, and to an overlap in content between psychoanalytic formulations of the obsessive personality and concepts of stability or non-neuroticism.
Nutrient-Gene Interactions The Effect of Dietary Fat on LDL Size Is Influenced by Apolipoprotein E Genotype in Healthy Subjects 1

LDL particle size is dependent on both genetic factors and environmental factors such as dietary fat composition. The apolipoprotein E (apoE) genotype is a major genetic determinant of LDL size. Thus, the aim of this work was to study whether the apoE genotype interacts with the quantity and quality of dietary fat, modifying LDL size in young healthy subjects. Healthy subjects (n 84; 66 apoE 3/3, 8 apoE 4/3, 10 apoE 3/2) were subjected to 3 dietary periods, each lasting 4 wk. The first was an SFA-enriched diet (38% fat, 20% SFA), which was followed by a carbohydrate (CHO)-rich diet (30% fat, 10% SFA, 55% carbohydrate) or a monounsaturated fatty acid (MUFA) olive oil–rich diet (38% fat, 22% MUFA) following a randomized crossover design. At the end of each diet period, LDL particle size and plasma levels of total cholesterol, LDL cholesterol (LDL-C), HDL-C, apoB, apoA-I, and triacylglycerols were determined. LDL particle size was significantly higher (P 0.04) in subjects with the apoE 4/3 genotype compared with those with apoE 3/3 and apoE 3/2 in the basal state. LDL size was smaller (P 0.02) after the CHO diet than after the MUFA or SFA diets. After the CHO diet, a significant increase in LDL particle size (P 0.035) was noted with respect to the MUFA diet in apoE 4/3 subjects, whereas a significant decrease was observed in the apoE 3/3 individuals (P 0.043). In conclusion, a Mediterranean diet, high in MUFA-fat increases LDL particle size compared with a CHO diet, and this effect is dependent of apoE genotypes. J. Nutr. 134: 2517–2522, 2004.
Transitioning adolescent and young adults with chronic disease and/or disabilities from paediatric to adult care services – an integrative review

Aims and objectives This paper aims to provide an updated comprehensive review of the research‐based evidence related to the transitions of care process for adolescents and young adults with chronic illness/disabilities since 2010. Background Transitioning adolescent and young adults with chronic disease and/or disabilities to adult care services is a complex process, which requires coordination and continuity of health care. The quality of the transition process not only impacts on special health care needs of the patients, but also their psychosocial development. Inconsistent evidence was found regarding the process of transitioning adolescent and young adults. Design An integrative review was conducted using a five‐stage process: problem identification, literature search, data evaluation, data analysis and presentation. Methods A search was carried out using the EBSCOhost, Embase, MEDLINE, PsycINFO, and AustHealth, from 2010 to 31 October 2014. The key search terms were (adolescent or young adult) AND (chronic disease or long‐term illness/conditions or disability) AND (transition to adult care or continuity of patient care or transfer or transition). Results A total of 5719 records were initially identified. After applying the inclusion criteria a final 61 studies were included. Six main categories derived from the data synthesis process are Timing of transition; Perceptions of the transition; Preparation for the transition; Patients’ outcomes post‐transition; Barriers to the transition; and Facilitating factors to the transition. A further 15 subcategories also surfaced. Conclusions In the last five years, there has been improvement in health outcomes of adolescent and young adults post‐transition by applying a structured multidisciplinary transition programme, especially for patients with cystic fibrosis and diabetes. However, overall patients’ outcomes after being transited to adult health care services, if recorded, have remained poor both physically and psychosocially. An accurate tracking mechanism needs to be established by stakeholders as a formal channel to monitor patients’ outcomes post‐ transition.
Predictive validity of the suicide probability scale among adolescents in group home treatment.

OBJECTIVE To determine the predictive validity of the Suicide Probability Scale (SPS). METHOD Prospective design, predicting subsequent suicide attempts, suicide verbalizations, and minor self-destructive behaviors from SPS scores at admission to a group home in a sample of 855 adolescents. RESULTS SPS scores significantly predicted all three suicide-relevant measures. Only 48% of subsequent attempts could have been predicted from SPS criteria that would have put 21% of newly admitted adolescents in the at-risk group. Although the prediction is far from perfect, it can prevent some suicide attempts when combined with effective suicide precautions. CONCLUSIONS This is the first known evidence of predictive validity of any measure of suicide risk in adolescents. Its predictive ability may have been reduced by interventions designed to reduce suicide risk. Despite the large number of false-positives and modest predictive validity, a large body of literature indicates that quantitative predictions perform better than clinical judgments in predicting psychological outcomes. However, the SPS measures only a subset of factors predictive of suicide, including suicidal ideation, hopelessness, and social isolation. Risk factors not assessed by the SPS include previous suicide attempts, conduct disorder, substance abuse, and reasons for living. These additional risk factors may be important to improve upon the predictive validity of the SPS.
Multiplex Real-time RT–PCR for Prospective Evaluation of WT1 and Fusion Gene Transcripts in Newly Diagnosed De Novo Acute Myeloid Leukemia

Prognostic assessment is crucial for the management of AML. Although the use of karyotype analysis for risk-stratification is widely accepted, prognosis of AML remains ambiguous, particularly for patients categorized into the intermediate cytogenetic risk group and additional markers are required for an accurate prediction of outcome. For this study, we used multiplex real-time RT-PCR, which can simultaneously quantify WT1 and 10 distinct fusion gene transcripts, to prospectively evaluate the pre-treatment bone marrow findings of 53 de novo AML patients. Five patients with normal karyotype or insufficient metaphases detected by conventional karyotype analysis proved to have AML1-MTG8, CBFbeta-MYH11 or PML-RARalpha fusion transcripts. WT1 overexpression was observed in 92% of the patients, and the levels were significantly higher in the cytogenetic favorable risk group, especially patients with PML-RARalpha. WT1 levels also correlated with the percentage of blasts in bone marrow, especially in cases of core-binding factor leukemia. There was no association between initial WT1 levels and outcome in terms of event-free survival or overall survival. These results suggest that multiplex real-time RT-PCR is rapid and useful for the precise cytogenetic stratification of AML, and that WT1 levels at presentation correlate with several biologic features of leukemia, but have no prognostic significance.