Miracle-dz/UniFAR-FTUs huggingface dataset:
ENHANCING WEB ANALYSIS THROUGH DATA WAREHOUSING ENFORCEMENT

The World Wide Web has become one of nowadays’ world primary information resources. However, keeping up with its non-stopping growth and the increasing demands of the customers is not an easy task. The tremendous number of Web sites, their dynamism, heterogeneity, high linkage and diversity turned the medium into an entanglement hardly specifiable. It is not just a question of businesses competing for customers, but also a matter of customers trying to find services, products or simply information. Once again, data warehousing systems pump up as the right candidates for managing the crucial, strategic information, granting the urging decision support. However, these systems are inherently heterogeneous, bringing along different data models and data schemas to conciliate. Besides, within each single source, it is likely that several kinds of conflicts, inconsistencies and errors may appear. Therefore, tools capable of identifying and resolving these situations, enforcing data quality towards further knowledge acquisition, are in order. This paper aims to expose the value of data warehousing systems within the Web scenario. The medium is characterised, pinpointing its major wealth and pitfalls towards data mining. Basic issues related with data cleaning and structuring are covered, detaching clickstream specific processing. Finally, a new computational platform an agent-based abnormal data formats identification and resolution platform – is proposed.
Fuzzy logic congestion control in TCP/IP best-effort networks

- This paper presents a new active queue management (AQM) scheme -Fuzzy Explicit Marking (FEM)- supporting explicit congestion notification (ECN), to provide congestion control in TCP/IP best-effort networks using a fuzzy logic control approach. While many AQM mechanisms have recently been proposed, these require careful configuration of non-intuitive control parameters, and show weaknesses to detect and control congestion under dynamic traffic changes, and a slow response to regulate queues. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions, uses multiple inputs to capture the (dynamic) state of the network more accurately, and can offer effective implementation. A simulation study over a wide range of traffic conditions shows that the FEM controller outperforms a number of representative AQM schemes in terms of queue fluctuations and delays, packet losses, and link utilization.
Conformity, arousal, and the effect of arbitrary information

Four studies were conducted to better understand the relationship between arousal, conformity, and the influence of arbitrary and genuine social information. Experiment 1 found that conforming to an apparently genuine majority led to lower levels of autonomic arousal than did independence. Experiment 2 replicated the same findings under nonrealistic conditions in which the experimenter, in front of the participant, told the majority which response to give, thus removing social information from the response. Experiment 3 used arousal-based reasoning to predict that if disagreeing with a majority leads to higher arousal than conformity, even when majority responses contain no social information, participants will conform to majority responses under those same conditions, which was supported. Experiment 4 attempted to broaden our understanding of how arbitrary and real majority responses affect conformity by varying the size of the majority and whether majority responses were arbitrary or genuine. Responses were significantly influenced in all experimental conditions, thus replicating Experiment 3, but more influence occurred with a larger majority that appeared to be giving genuine responses. Our findings expand our understanding of the factors involved in the typical conformity situation by showing that the responses given by the majority affect conformity, whether or not they are genuine, though genuineness adds to the effect with a group size of 3. Also, we argue that taking an arousal-based view provides a way of viewing these results as part of a broader homeostatic behavioral system, although the compatibility of the results with other approaches is acknowledged.
Fusarium Head Blight Resistance QTL in the Spring Wheat Cross Kenyon/86ISMN 2137

Fusarium head blight (FHB), caused by Fusarium graminearum, is a very important disease of wheat globally. Damage caused by F. graminearum includes reduced grain yield, reduced grain functional quality, and results in the presence of the trichothecene mycotoxin deoxynivalenol in Fusarium-damaged kernels. The development of FHB resistant wheat cultivars is an important component of integrated management. The objective of this study was to identify QTL for FHB resistance in a recombinant inbred line (RIL) population of the spring wheat cross Kenyon/86ISMN 2137. Kenyon is a Canadian spring wheat, while 86ISMN 2137 is an unrelated spring wheat. The RIL population was evaluated for FHB resistance in six FHB nurseries. Nine additive effect QTL for FHB resistance were identified, six from Kenyon and three from 86ISMN 2137. Rht8 and Ppd-D1a co-located with two FHB resistance QTL on chromosome arm 2DS. A major QTL for FHB resistance from Kenyon (QFhb.crc-7D) was identified on chromosome 7D. The QTL QFhb.crc-2D.4 from Kenyon mapped to the same region as a FHB resistance QTL from Wuhan-1 on chromosome arm 2DL. This result was unexpected since Kenyon does not share common ancestry with Wuhan-1. Other FHB resistance QTL on chromosomes 4A, 4D, and 5B also mapped to known locations of FHB resistance. Four digenic epistatic interactions were detected for FHB resistance, which involved eight QTL. None of these QTL were significant based upon additive effect QTL analysis. This study provides insight into the genetic basis of native FHB resistance in Canadian spring wheat.
Research Letter: Is neuroticism a risk factor for postpartum depression?

Although the relationship between personality and depressive illness is complex (Shea, 2005), there is empirical evidence that some personality features such as neuroticism, harm avoidance, introversion, dependency, self-criticism or perfectionism are related to depressive illness risk (Gunderson et al. 1999). Moreover, personality traits, especially neuroticism, may explain the increased prevalence of depression among females (Goodwin & Gotlib, 2004). Few studies have explored neuroticism, extraversion and psychoticism as risk factors for depression after an event as stressful as childbirth. Pitt (1968) was the first author to report high scores on neuroticism and low scores on extraversion among postpartum depressed women. Similar results were found in a comparison of mothers with and without postpartum depressive symptoms (Dudley et al. 2001; Podolska et al. 2010). A case-control study comparing women with recurrent major depression with and without a history of postpartum depression found no personality trait differences between them; however, those with a history of postpartum depression showed higher neuroticism and psychoticism and lower extraversion than controls. These results suggested that these traits did not confer a specific risk for the postnatal onset episodes (Jones et al. 2010). Prospective studies have also studied the link between personality and postpartum depression; however, these data are not conclusive due to methodological limitations, such as sample size (Kumar & Robson, 1984; Watson et al. 1984; Areias et al. 1991; Boyce et al. 1991; Matthey et al. 2000), selection bias (Kumar & Robson, 1984; Areias et al. 1991; Boyce et al. 1991; Matthey et al. 2000), or depression assessment (self-report measures versus clinical diagnosis: Boyce et al. 1991; Matthey et al. 2000; Dudley et al. 2001; Saisto et al. 2001; Van Bussel et al. 2009) or because the authors did not take into account confounding factors such as stressful life events or social support (Watson et al. 1984; Kumar & Robson, 1984; Boyce et al. 1991; Matthey et al. 2000; Saisto et al. 2001; Verkerk et al. 2005; Van Bussel et al. 2009). (See Supplementary material, Table S1.)The aim of this paper was to extend the previous knowledge of the role of neuroticism, extroversion and psychoticism as risk factors for postpartum depression (depression symptomatology and clinical diagnosis) considering psychosocial variables in a large cohort of women from the general population.
Learning networks as a vehicle for improving the generative capacity of working-life development programmes

This paper studies a learning network-based approach as an alternative programme theory to a traditional approach in working-life development that uses demonstration projects. Learning network projects of the Finnish Workplace Development Programme TYKES (2004–2010) are used as an example of the alternative approach in practice. Based on an empirical analysis of five learning network projects, a framework for weighting strengths and weaknesses of three different modes of programme leadership for directing learning networks is presented. Finally, this paper elaborates the role of programme theories in cases of complex objects for intervention, suggesting that in action research-based efforts that require commitment of and cooperation between many actors programme theories should be judged more on the basis of their social value than their truth value.
REGULATION OF PROTEIN SYNTHESIS IN THE VENOM GLAND OF VIPERID SNAKES

Morphological changes in the venom gland of V. ammodytes were studied after the removal of the venom from the gland lumina (milking) It was found that the height of the secretory cells was changed during the secretory cycle. The patterns of the rough endoplasmic reticulum and of the Golgi complex were changed as well Milking induced an increased incorporation of [14C]amino acids into total and venom proteins In V ammodytes, during the first day after milking, 25% of the total counts in protein were precipitable by anti-venom serum, while at 8 days, 80% of the proteins synthesized were venom proteins At this stage, the incorporation was 10- and 20-fold that of unmilked glands for total and venom proteins, respectively. Venom was accumulated (secreted) in the gland lumina of V. ammodytes at a relatively high rate up to 2 wk after milking and leveled off afterwards. Intact glands and gland slices of V ammodytes and V palaestinae, taken from snakes a few days after milking, incorporated [14C]amino acids into proteins in vitro at a rate higher than that of unmilked glands. The activity of two exportable enzymes (phosphodiesterase and benzoyl arginyl ethyl esterase) was assayed in gland homogenates of V. ammodytes. It was found that 2–3 wk after milking, the intracellular level of these enzymes was up to 2-fold that of unmilked glands.
Modified rough set based aggregation for effective evaluation of web search systems

Rank Aggregation is the problem of generating a single consensus ranking for a given set of rankings. Rough set based Rank aggregation is a user feedback based technique for rank aggregation, which learns ranking rules using rough set theory. In this paper, we discuss an improved version of the Rough set based Rank aggregation technique, which is more suitable for aggregation of different Web search evaluation techniques. For learning the ranking rules, we obtain the implicit user feedback to the search results returned by a search engine in response to a set of fifteen queries and mine the ranking rules using rough set theory. In the modified rough set based rank aggregation technique, we incorporate the confidence of the rules in predicting a class for a given set of data. That means, we do not say surely that the record belongs to a particular class according to a particular rule. Instead, we associate a score variable to the predicted class of the record, where the value of the variable is equal to the confidence measure of the rule. We validate the mined ranking rules by comparing the predicted user feedback based ranking with the actual user feedback based ranking. We apply the ranking rules to another set of thirty seven queries for aggregating different rankings of search results obtained on the basis of different evaluation techniques. We show our experimental results pertaining to seven public search engines.
Serum Ferritin Is Associated with Metabolic Syndrome and Red Meat Consumption

Background and Aims. Hyperferritinemia has been related with a wide spectrum of pathologies, including diabetes, cardiovascular disease, neurodegenerative disorders, and metabolic syndrome. The aim of this study was to investigate the association between hyperferritinemia and iron consumption. Methods and Results. Serum ferritin concentration was evaluated in 66 presumed healthy men, along with other clinical and biochemical markers of chronic diseases. A three-day food questionnaire was applied for nutrition information. Hyperferritinemia was a condition found in 13.4% of the volunteers analyzed. Significant correlations were found between serum ferritin concentration and metabolic syndrome parameters (HDL cholesterol, triglycerides, and fasting glucose) as well as an increase of the serum ferritin mean value with the number of risk factors of metabolic syndrome. Also, oxidative stress markers (carbonyl groups, AOPP, and glycated hemoglobin), hepatic damage markers (GGT, SGOT), and parameters related to insulin resistance (HOMA, blood insulin, and blood glucose) correlate significantly with serum ferritin. Volunteers had an excessive iron intake, principally by bread consumption. Analyses of food intake showed that red meat consumption correlates significantly with serum ferritin. Conclusion. Red meat consumption, metabolic syndrome, and chronic disease markers are associated with hyperferritinemia in a population of Chilean men.
The Oldest Old and the Risk of Social Exclusion

This article examines whether people aged eighty-five-and-over, referred to throughout as ‘The Oldest Old’, are more likely to suffer from social exclusion than people aged sixty-five to eighty-four. Social Exclusion is defined according to the four dimensions identified in the 1999 Poverty and Social Exclusion Survey. Using data from Understanding Society, the analysis finds that the Oldest Old have a higher likelihood of experiencing social exclusion than people aged sixty-five to eighty-four. These findings illustrate the risks facing the Oldest Old, and highlight the policy challenges presented by ageing western populations.
Cooperation and Interference in Wireless Mesh Networks

A wireless mesh network is a multi-hop wireless network consisting of a large number of cooperative wireless nodes, which can be either stationary or mobile. The primary goal in wireless mesh networking is to achieve high system throughput in presence of numerous data traffic flows. However, because of the broadcasting nature of the wireless medium, the interference between simultaneous transmissions is a key factor affecting the throughput. Using all communication links simultaneously certainly does not guarantee high throughput of the entire network. This is because the interference between wireless links incurs unnecessary collisions and consequently retransmissions. Therefore, in order to achieve a certain level of throughput in mesh networks, the activities of these links should be arranged in a cooperative way such that a balance between interference and effective communication is attained. There have been significant research efforts to alleviate interference in wireless mesh networks and, thus, to improve the throughput. In this Chapter, we discuss existing work aiming at high throughput while simultaneously incurring minimal interference in such networks. And this is an intriguing interplay among a multitude of factors. Throughout the discussion, we focus on unicasts (one-to-one communications). We first review some of the most accepted communication and interference models in the research of multi-hop wireless networking. We then discuss the three most important approaches to minimizing interference to support multiple flows simultaneously, i.e. by routing, channel assignment, and scheduling. Afterwards, we lead the readers to the not-so-conventional approach of reducing interference by mobility. We conclude the chapter by speculating on the difficulties in modeling wireless mesh networks and the interplay of different aspects of interference avoidance. 1 Communication and Interference Models When signals propagate in a wireless channel, their average strengths attenuates as a power function of the distance that they travel, which is called large-scale path loss. In addition, the signal strengths can also vary significantly even by a short distance due to propagation mechanisms such as reflection, diffraction, and scattering. As a result, when a receiver detects a signal, it is essentially receiving a combination of multiple copies of the same original signal from different paths. These multiple copies are usually modulated by different amplitudes, phases, and even frequencies. For a signal to be able to reconstruct, its strength must be
A comparison of density structures of a star forming and a non-star-forming globule. DCld303.8-14.2

Received idate? ; accepted idate? Abstract. We present a study of radial density structure of the star for ming globule, DCld303.8-14.2 (DC303), and a non-star forming globule, Thumbprint Nebula (TPN), using near-infrared data taken with the ISAAC instrument on the Very Large Telescope. We derive the extinction through the globules using the color excess technique and examine the radial density distribution using Bonnor-Ebert and power-law models. The two globules have significantly di fferent density structures. The extinction profile of DC303 is best fitted with a single power- law with an exponent p = 2.29± 0.08. An unstable Bonnor-Ebert model with a dimensionless parameterξmax = 23± 3 provides equally good fit to data. The extinction profile of T PN flattens at small radii, making the profile significantly di fferent from the profile of DC303. We are unable to fit the Bonnor- Ebert model for TPN in a robust manner, but derive the lower limitξmax& 8 for the dimensionless outer edge. The density profile deriv ed for TPN is typical compared to recently observed pre-protostellar globules, with highξmax value which could be interpreted as the presence of significant additional support or very slow c ontraction.
Rising High or Falling Deep? Pathways of Self–Esteem in a Representative German Sample

In many longitudinal studies, self–esteem has been shown to increase up until around age 50 or 60 and to decrease thereafter. These studies have also found substantial inter–individual differences in the intra–individual development of self–esteem. In the current study, we examined whether this variation in change could be attributed to underlying latent classes of individuals following different trajectories of self–esteem development over time. By applying general growth mixture modelling to data from the representative German pairfam study (N = 12 377), four latent classes of self–esteem development across five years were extracted. Based on their mean levels, trajectories, and variability, individuals in the latent classes could be described as having (a) constant and stable high self–esteem (29.00% of the sample), (b) constant but variable moderate self–esteem (31.69%), (c) increasing and stabilizing self–esteem (15.13%), and (d) decreasing and variable self–esteem (24.18%). Furthermore, these latent classes differed in accordance with findings of prior research on self–rated, partner–rated, and objective correlates of the domains of health and well–being, partner relationships, and occupational status. Thus, the current study shows that inter–individual variation in intra–individual change in self–esteem is not random but reflects specific individual trajectories, or pathways, of self–esteem. Copyright © 2016 European Association of Personality Psychology
Insulin-Like Growth Factor-1 Inscribes a Gene Expression Profile for Angiogenic Factors and Cancer Progression in Breast Epithelial Cells 1

Activation of the insulinlike growth factor-1 receptor ( IGF-1R) by IGF-1 is associated with the risk and progression of many types of cancer, although despite this it remains unclear how activated IGF-1R contributes to cancer progression. In this study, gene expression changes elicited by IGF-1 were profiled in breast epithelial cells. We noted that many genes are functionally linked to cancer progression and angiogenesis. To validate some of the changes observed, the RNA and/or protein was confirmed for cfos, cytochrome P450 1A1, cytochrome P450 1B1, interleukin-1 beta, fas ligand, vascular endothelial growth factor, and urokinase plasminogen activator. Nuclear proteins were also temporally monitored to address how gene expression changes were regulated. We found that IGF-1 stimulated the nuclear translocation of phosphorylated AKT, hypoxicinducible factor-1 alpha, and phosphorylated cAMP-responsive element-binding protein, which correlated with temporal changes in gene expression. Next, the promoter regions of IGF-1–regulated genes were searched in silico. The promoters of genes that clustered together had similar regulatory regions. In summary, IGF-1 inscribes a gene expression profile relevant to cancer progression, and this study provides insight into the mechanism(s) whereby some of these changes occur. Neoplasia (2002) 4, 204–217 DOI: 10.1038/sj/neo/7900229
Life after Adolescent and Adult Moderate and Severe Traumatic Brain Injury: Self-Reported Executive, Emotional, and Behavioural Function 2–5 Years after Injury

Survivors of moderate-severe Traumatic Brain Injury (TBI) are at risk for long-term cognitive, emotional, and behavioural problems. This prospective cohort study investigated self-reported executive, emotional, and behavioural problems in the late chronic phase of moderate and severe TBI, if demographic characteristics (i.e., age, years of education), injury characteristics (Glasgow Coma Scale score, MRI findings such as traumatic axonal injury (TAI), or duration of posttraumatic amnesia), symptoms of depression, or neuropsychological variables in the first year after injury predicted long-term self-reported function. Self-reported executive, emotional, and behavioural functioning were assessed among individuals with moderate and severe TBI (N = 67, age range 15–65 years at time of injury) 2–5 years after TBI, compared to a healthy matched control group (N = 72). Results revealed significantly more attentional, emotional regulation, and psychological difficulties in the TBI group than controls. Demographic and early clinical variables were associated with poorer cognitive and emotional outcome. Fewer years of education and depressive symptoms predicted greater executive dysfunction. Younger age at injury predicted more aggressive and rule-breaking behaviour. TAI and depressive symptoms predicted Internalizing problems and greater executive dysfunction. In conclusion, age, education, TAI, and depression appear to elevate risk for poor long-term outcome, emphasising the need for long-term follow-up of patients presenting with risk factors.