Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal Redistribution of Immune Function in a Migrant Shorebird: Annual‐Cycle Effects Override Adjustments to Thermal Regime

Throughout the annual cycle, demands on competing physiological systems change, and animals must allocate resources to maximize fitness. Immune function is one such system and is important for survival. Yet detailed empirical data tracking immune function over the entire annual cycle are lacking for most wild animals. We measured constitutive immune indices once a month for a year on captive red knots (Calidris canutus). We also examined temperature as an environmental contributor to immune variation by manipulating ambient temperature to vary energy expenditure. To identify relationships among immune indices, we performed principal‐component analysis. We found significant repeatability in immune indices over the annual cycle and covariation of immune indices within and among individuals. This covariation suggests immune strategies as individual traits among individuals and the use of different immune strategies during different annual‐cycle stages within individuals. Over the annual cycle, both higher‐cost phagocyte‐based immunity and lower‐cost lymphocyte‐based immunity were high during mass change, but there was a clear shift toward lower‐cost lymphocyte‐based immunity during peak molt. Experimental manipulation of temperature had little effect on annual variation in immune function. This suggests that other environmental factors, such as food availability and disease, should also be examined in the future.
Observations of the diurnal and seasonal trends in nitrogen oxides in the western Sierra Nevada

Observations of speciated nitrogen oxides, namely NO2, total peroxy nitrates (6PNs), total alkyl nitrates (6ANs), and HNO3 by thermal dissociation laser induced fluorescence (TD-LIF), and supporting chemical and mete- orological measurements at Big Hill (1860 m), a high ele- vation site in California's Sierra Nevada Mountains, are de- scribed. From May through October, terrain-driven winds in the region routinely bring air from Sacramento, 100 km southwest of the site, upslope over oak and pine forests to Big Hill during the day, while at night, the site often samples clean, dry air characteristic of the free troposphere. Win- ter differs mainly in that the meteorology does not favour the buildup of Sacramento's pollution over the Sierra Nevada range, and the urban-influenced air that is seen has been less affected by biogenic VOC emissions, resulting in longer life- time for NO2 and a predominance of the inorganic forms of nitrogen oxides. Summertime observations at Big Hill can be compared with those from Granite Bay, a Sacramento suburb, and from the University of California's Blodgett Forest Research Sta- tion to examine the evolution of nitrogen oxides and ozone within the urban plume. Nitrogen oxide radicals (NO and NO2), which dominate total nitrogen oxides (NOy) at Gran- ite Bay, are rapidly converted into HNO3, 6PNs, and6ANs, such that these compounds contribute 29, 30, and 21% re- spectively to the NOy budget in the plume at Big Hill. Nev- ertheless, the decreasing concentrations of NO2 as the plume is advected to Big Hill lead to decreases in the production rate of HNO3 and ozone. The data also demonstrate the role that temperature plays in sequestering NO2 into peroxy ni- trates, effectively decreasing the rate of ozone production. The important contribution of 6ANs to NOy in the region suggests that they should be considered with regards to ex- port of NOy from the boundary layer. Nocturnal observations of airmasses characteristic of the free troposphere showed lower NOy concentrations, which were dominated by HNO3 with a relatively small contribution from the organic nitrates.
Relación entre autoestima y violencia de género. Un estudio con mujeres autóctonas y migradas en territorio español

This paper presents results of a research carried out with native and migrated women living in Spain, who currently suffer gender violence or have suffered it in the past. Study objective was to know the incidence of violence on women? s self-esteem, as well as possibilities of recovery through psychosocial support programs. Reciprocal relationship between self-esteem and gender violence is presented in this paper through a broad bibliographical review of research in which this issue is addressed. Study sample consisted of 248 women, users of several services for the care of women in Spain, who participated in a program of psychosocial intervention for victims of gender violence. The selection of the sample was intentional and the methodology applied is quantitative. The study establishes relationships between sociodemographic characteristics, type of abuse, time of exposure, coexistence between different types of violence and effects of the psychosocial intervention on self-esteem. An analysis of the variance and an analysis by segmentation whit the SPAD-N program were performed, in order to find differential results between native and migrated women. Results show that native women present greater negative burden on self-esteem than migrated women, fact that contradicts the results of other investigations.
Generation of Bilingual Dictionaries using Structural Properties

Building bilingual dictionaries from Wikipedia has been extensively studied in the area of computation linguistics. These dictionaries play a crucial role in Natural Language Processing(NLP) applications like Cross-Lingual Information Retrieval, Machine Translation and Named Entity Recognition. To build these dictionaries, most of the existing approaches use information present in Wikipedia titles, info-boxes and categories. Interestingly, not many use the structural properties of a document like sections, subsections, etc. In this work we exploit the structural properties of documents to build a bilingual English-Hindi dictionary. The main intuition behind this approach is that documents in different languages discussing the same topic are likely to have similar structural elements. Though we present our experiments only for Hindi, our approach is language independent and can be easily extended to other languages. The major contribution of our work is that the dictionary contains translation and transliteration of words which include Named Entities to a large extent. We evaluate our dictionary using manually computed precision. We generated a massive list of 72k tokens using our approach with 0.75 precision.
Topical paromomycin with or without gentamicin for cutaneous leishmaniasis.

BACKGROUND There is a need for a simple and efficacious treatment for cutaneous leishmaniasis with an acceptable side-effect profile. METHODS We conducted a randomized, vehicle-controlled phase 3 trial of topical treatments containing 15% paromomycin, with and without 0.5% gentamicin, for cutaneous leishmaniasis caused by Leishmania major in Tunisia. We randomly assigned 375 patients with one to five ulcerative lesions from cutaneous leishmaniasis to receive a cream containing 15% paromomycin-0.5% gentamicin (called WR 279,396), 15% paromomycin alone, or vehicle control (with the same base as the other two creams but containing neither paromomycin nor gentamicin). Each lesion was treated once daily for 20 days. The primary end point was the cure of the index lesion. Cure was defined as at least 50% reduction in the size of the index lesion by 42 days, complete reepithelialization by 98 days, and absence of relapse by the end of the trial (168 days). Any withdrawal from the trial was considered a treatment failure. RESULTS The rate of cure of the index lesion was 81% (95% confidence interval [CI], 73 to 87) for paromomycin-gentamicin, 82% (95% CI, 74 to 87) for paromomycin alone, and 58% (95% CI, 50 to 67) for vehicle control (P<0.001 for each treatment group vs. the vehicle-control group). Cure of the index lesion was accompanied by cure of all other lesions except in five patients, one in each of the paromomycin groups and three in the vehicle-control group. Mild-to-moderate application-site reactions were more frequent in the paromomycin groups than in the vehicle-control group. CONCLUSIONS This trial provides evidence of the efficacy of paromomycin-gentamicin and paromomycin alone for ulcerative L. major disease. (Funded by the Department of the Army; ClinicalTrials.gov number, NCT00606580.).
Fast algorithms for time series with applications to finance, physics, music, biology, and other suspects

Financial time series streams are watched closely by millions of traders. What exactly do they look for and how can we help them do it faster? Physicists study the time series emerging from their sensors. The same question holds for them. Musicians produce time series. Consumers may want to compare them. This tutorial presents techniques and case studies for four problems:1. Finding sliding window correlations in financial, physical, and other applications.2. Discovering bursts in large sensor data of gamma rays.3. Matching hums to recorded music, even when people don't hum well.4. Maintaining and manipulating time-ordered data in a database setting.This tutorial draws mostly from the book High Performance Discovery in Time Series: techniques and case studies, Springer-Verlag 2004. You can find the power point slides for this tutorial at http://cs.nyu. edu/cs/faculty/shasha/papers/sigmod04.ppt. The tutorial is aimed at researchers in streams, data mining, and scientific computing. Its applications should interest anyone who works with scientists or financial "quants. " The emphasis will be on recent results and open problems. This is a ripe area for further advance.
Hardware Design Automation of Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are a variation of feed-forward Neural Networks inspired by the biological process in the visual cortex of animals. The interest in this supervised learning algorithm has rapidly grown in many fields like image and video recognition and natural language processing. Nowadays they have become the state of the art in various applications like mobile robot vision, video surveillance and Big Data analytics. The specific computation pattern of CNNs results to be highly suitable for hardware acceleration, in fact different types of accelerators have been proposed based on GPU, Field Programmable Gate Array (FPGA) and ASIC. In particular, in the embedded systems context, due to real time and power consumption challenges, it is crucial to find the right tradeoff between performance, energy efficiency, fast development round and cost. This work proposes a framework meant as a tool for the user to accelerate and simplify the design and the implementation of CNNs on FPGAs by leveraging High Level Synthesis, still providing a certain level of customization of the hardware design.
Association between NME8 Locus Polymorphism and Cognitive Decline, Cerebrospinal Fluid and Neuroimaging Biomarkers in Alzheimer's Disease

Recently, a large meta-analysis of five genome wide association studies (GWAS) identified a novel locus (rs2718058) adjacent to NME8 that played a preventive role in Alzheimer's disease (AD). However, this link between the single nucleotide polymorphism (SNP) rs2718058 and the pathology of AD have not been mentioned yet. Therefore, this study assessed the strength of association between the NME8 rs2718058 genotypes and AD-related measures including the cerebrospinal fluid (CSF) amyloid beta, tau, P-tau concentrations, neuroimaging biomarkers and cognitive performance, in a large cohort from Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We used information of a total of 719 individuals, including 211 normal cognition (NC), 346 mild cognitive impairment (MCI) and 162 AD. Although we didn't observe a positive relationship between rs2718058 and AD, it was significantly associated with several AD related endophenotypes. Among the normal cognitively normal participants, the minor allele G carriers showed significantly associated with higher CDRSB score than A allele carriers (P = 0.021). Occipital gyrus atrophy were significantly associated with NME8 genotype status (P = 0.002), with A allele carriers has more atrophy than the minor allele G carriers in AD patients; lateral ventricle (both right and left) cerebral metabolic rate for glucose (CMRgl) were significantly associated with NME8 genotype (P<0.05), with GA genotype had higher metabolism than GG and AA genotypes in MCI group; the atrophic right hippocampus in 18 months is significantly different between the three group, with GG and AA genotypes had more hippocampus atrophy than GA genotypes in the whole group. Together, our results are consistent with the direction of previous research, suggesting that NME8 rs2718058 appears to play a role in lowering the brain neurodegeneration.
Multiple mechanisms of bursting in a conditional bursting neuron

The anterior burster (AB) neuron in the stomatogastric ganglion of the spiny lobster, Panulirus interruptus, is a conditional burster in the pyloric motor circuit. Bath application of the monoamines dopamine, serotonin, and octopamine induces rhythmic bursting pacemaker potentials in a silent, synaptically isolated AB cell. However, each amine produces a unique and characteristic burst shape, resulting from different ionic dependences of the burst mechanisms. Bursting induced by serotonin or octopamine is critically dependent upon sodium entry through tetrodotoxin-sensitive channels; dopamine-induced bursting is not TTX-sensitive. Dopamine-induced bursting is abolished when extracellular calcium is reduced to 25% of normal; serotonin- and octopamine-induced bursts continue in this saline, although they are abolished in salines with calcium reduced to 10% or less of normal. Quantitative differences between the amines are also seen in the tetraethylammonium (TEA) sensitivity of the burst amplitude and in the dependence of the interburst hyperpolarization on extracellular potassium. These experiments demonstrate that there are both quantitative and qualitative differences in the ionic currents underlying every phase of the bursts induced by the 3 amines. Thus, a single neuron can burst via more than one ionic mechanism.
Flow-Based Anomaly Intrusion Detection System using Neural Network

Due to the rapid increase of internet users and computer networks these days, there is an increased need for effective security monitoring systems, such as Network Intrusion Detection Systems. Many researchers concentrate their efforts on this area using different type of approaches to build reliable detection system to protect computer networks from attacks. Flow-based intrusion detection systems are one of these approaches that rely on aggregated traffic metrics. Their main advantages are host independence and usability on high speed networks. In this paper, Neural Network anomaly intrusion detection system based on flow data is proposed for detecting attacks in the network traffic. The experimental results demonstrate that the designed models are promising in terms of accuracy and computational time, and low rates of false positive alarms.
De instroom van migranten en etnische minderheden in de drughulpverlening

The representation of migrants and ethnic minorities in drug treatment: a prospective study Ethnic diversity within drug treatment has not often been researched in Belgium. This study explores the representation of migrants and ethnic minorities in Belgian drug treatment, followed by the examination of different barriers that migrants and ethnic minorities encounter during various phases of treatment (i.e. intake, referral, treatment, discharge) and several kinds of treatment (day-care centres, medical and social care centres, crisis centres, therapeutic communities).
Comparison of transcriptional profiles of Clostridium thermocellum grown on cellobiose and pretreated yellow poplar using RNA-Seq

The anaerobic, thermophilic bacterium, Clostridium thermocellum, secretes multi-protein enzyme complexes, termed cellulosomes, which synergistically interact with the microbial cell surface and efficiently disassemble plant cell wall biomass. C. thermocellum has also been considered a potential consolidated bioprocessing (CBP) organism due to its ability to produce the biofuel products, hydrogen, and ethanol. We found that C. thermocellum fermentation of pretreated yellow poplar (PYP) produced 30 and 39% of ethanol and hydrogen product concentrations, respectively, compared to fermentation of cellobiose. RNA-seq was used to analyze the transcriptional profiles of these cells. The PYP-grown cells taken for analysis at the late stationary phase showed 1211 genes up-regulated and 314 down-regulated by more than two-fold compared to the cellobiose-grown cells. These affected genes cover a broad spectrum of specific functional categories. The transcriptional analysis was further validated by sub-proteomics data taken from the literature; as well as by quantitative reverse transcription-PCR (qRT-PCR) analyses of selected genes. Specifically, 47 cellulosomal protein-encoding genes, genes for 4 pairs of SigI-RsgI for polysaccharide sensing, 7 cellodextrin ABC transporter genes, and a set of NAD(P)H hydogenase and alcohol dehydrogenase genes were up-regulated for cells growing on PYP compared to cellobiose. These genes could be potential candidates for future studies aimed at gaining insight into the regulatory mechanism of this organism as well as for improvement of C. thermocellum in its role as a CBP organism.
Followers Ratio on Instagram Affects the Product’s Brand Awareness

In this era of technology, social media influencers through Instagram has become an asset for certain products and services which can give huge revenue stream for the company. This social media influencer will get paid to promote a brand or its products to their followers on the platform in many cases, for thousands of dollars per post (Milnes, 2016). Social media influencer is the new term for celebrity endorser which this particular person will endorse and promote the product that has been assigned by the respective company. Apparently for social media influencers’ who have large follower counts will become more valuable which can guarantee the amount of viewers that will see their content through Instagram. Similarly, this routine can boost the brand awareness if the number of “likes” on their posts increases (Milnes, 2016). Accordingly, higher numbers of followers may result in larger reach of the message (Talavera, 2015). Therefore, having thousands of followers through Instagram apparently increase the likeability of the products (Dobele, et al., 2016). Apart from that it will effect higher perceptions of popularity because this higher perception of popularity leads followers to contribute more critics and perception from the social media influencer toward the brand of the products and services (Milnes, 2016). A high number of followers may lead to higher perceptions of popularity, and subsequently higher likeability Cheong, B. (2017). Contrast to that followers are without doubt important as they will interpret the content, but quantity does not equal quality and a small audience of engaged users is worth more than a large audience of less active users (Anger and Kittl, 2013). Findings from this research, it shows that Instagram influencer with high numbers of followers is considered more likeable and has the chances to transform the potential customer to customer. Therefore, for this research, two Instagram profiles that have different ratio followers have been analyze for the purpose of this research. Instagram “A” has 7112 followers and 826 following, whereas Instagram “B” has 874 followers and 734 following. The ratio for each instagram followers ratio are 7112 followers: 826 following for Instagram A and for Instagram B is 874 followers: 734 following. Aus. J. Acc. Eco. Fin. Vol 3(2), October 2017, P 85-89
MUDRI: A fault-tolerant decoding algorithm

We propose an improved version of probabilistic gradient descent bit flipping algorithm for decoding low density parity check codes, based on MUltiple Decoding attempts and Random re-Initializations (MUDRI). The proposed algorithm significantly increases the probability of correcting error patterns uncorrectable by the existing variants of bit-flipping algorithm. The performance of the algorithm implemented in noisy hardware is analyzed for various code types and codeword lengths, and shown to be superior compared to other hard decision algorithms. The MUDRI decoder is mostly insensitive to the failures in registers and logic gates and therefore represents a desirable solution for implementation in unreliable hardware.
Satisfacción Laboral: Un Modelo Explicativo Basado en Variables Disposicionales

Se verifico un modelo explicativo de la satisfaccion laboral basado en la relacion de algunas variables disposicionales. Se plantea un modelo de mediacion multiple moderada, que fue analizado en una muestra multiocupacional de 575 trabajadores argentinos. La verificacion empirica indico que el efecto indirecto positivo del capital psicologico y de la inteligencia emocional sobre la satisfaccion laboral es amplificado por la extraversion y atenuado por el neuroticismo; en contraste, el efecto indirecto negativo del cinismo organizacional se encuentra fortalecido por el descontrol emocional y amortiguado por la extraversion. Se discuten los resultados y se senalan las fortalezas y limitaciones del estudio.
Near Data Scheduling for Data Centers with Multi Levels of Data Locality

Data locality is a fundamental issue for data-parallel applications. Considering MapReduce in Hadoop, the map task scheduling part requires an efficient algorithm which takes data locality into consideration; otherwise, the system may become unstable under loads inside the system's capacity region and jobs may experience longer completion times which are not of interest. The data chunk needed for any map task can be in memory, on a local disk, in a local rack, in the same cluster or even in another data center. Hence, unless there has been much work on improving the speed of data center networks, different levels of service rates still exist for a task depending on where its data chunk is saved and from which server it receives service. Most of the theoretical work on load balancing is for systems with two levels of data locality including the Pandas algorithm by Xie et al. and the JSQ-MW algorithm by Wang et al., where the former is both throughput and heavy-traffic optimal, while the latter is only throughput optimal, but heavy-traffic optimal in only a special traffic load. We show that an extension of the JSQ-MW algorithm for a system with thee levels of data locality is throughput optimal, but not heavy-traffic optimal for all loads, only for a special traffic scenario. Furthermore, we show that the Pandas algorithm is not even throughput optimal for a system with three levels of data locality. We then propose a novel algorithm, Balanced-Pandas, which is both throughput and heavy-traffic optimal. To the best of our knowledge, this is the first theoretical work on load balancing for a system with more than two levels of data locality. This is more challenging than two levels of data locality as a dilemma between performance and throughput emerges.
On the Role of Numerical Preciseness for Generalization, Classification, Type-1, and Type-2 Fuzziness

When performing data analysis on a computing device no mathematically idealized real number set IR is available. A basic resolution is given, so that a fuzzy model is in fact always a discrete model and not a continuous one. Due to the limited preciseness the computing device offers only a limited number of decimals in a limited discrete number space OR. This contribution considers effects on the generalization and fuzziness of data when replacing IR by IIR The effects are studied for data, that are numerically rounded or when intervals are considered. Often part of the data is missing or is of limited quality, so that it is of practical interest to consider the exact underlying space IIR and not the hypothetical space IR. We calculate precisely type-1 and type-2 fuzzy membership functions under preciseness assumptions of the elements in IIR.