Miracle-dz/UniFAR-FTUs huggingface dataset:
"Mummy, keep it steady": phonetic variation shapes word learning at 15 and 17 months.

Fifteen-month-olds have difficulty detecting differences between novel words differing in a single vowel. Previous work showed that Australian English (AusE) infants habituated to the word-object pair DEET detected an auditory switch to DIT and DOOT in Canadian English (CanE) but not in their native AusE (Escudero et al., ). The authors speculated that this may be because the vowel inherent spectral change variation (VISC) in AusE DEET is larger than in CanE DEET. We investigated whether VISC leads to difficulty in encoding phonetic detail during early word learning, and whether this difficulty dissipates with age. In Experiment 1, we familiarized AusE-learning 15-month-olds to AusE DIT, which contains smaller VISC than AusE DEET. Unlike infants familiarized with AusE DEET (Escudero et al., ), infants detected a switch to DEET and DOOT. In Experiment 2, we familiarized AusE-learning 17-month-olds to AusE DEET. This time, infants detected a switch to DOOT, and marginally detected a switch to DIT. Our acoustic analysis showed that AusE DEET and DOOT are differentiated by the second vowel formant, while DEET and DIT can only be distinguished by their changing dynamic properties throughout the vowel trajectory. Thus, by 17 months, AusE infants can encode highly dynamic acoustic properties, enabling them to learn the novel vowel minimal pairs that are difficult at 15 months. These findings suggest that the development of word learning is shaped by the phonetic properties of the specific word minimal pair.
Exact Sampling and Decoding in High-Order Hidden Markov Models

We present a method for exact optimization and sampling from high order Hidden Markov Models (HMMs), which are generally handled by approximation techniques. Motivated by adaptive rejection sampling and heuristic search, we propose a strategy based on sequentially refining a lower-order language model that is an upper bound on the true model we wish to decode and sample from. This allows us to build tractable variable-order HMMs. The ARPA format for language models is extended to enable an efficient use of the max-backoff quantities required to compute the upper bound. We evaluate our approach on two problems: a SMS-retrieval task and a POS tagging experiment using 5-gram models. Results show that the same approach can be used for exact optimization and sampling, while explicitly constructing only a fraction of the total implicit state-space.
Population dynamics and sex ratio of a parasitoid altered by fungal-infected diet of host butterfly

Variation of host quality affects population dynamics of parasitoids, even at the landscape scale. What causes host quality to vary and the subsequent mechanisms by which parasitoid population dynamics are affected can be complex. Here, we examine the indirect interaction of a plant pathogen with a parasitoid wasp. Under laboratory conditions, parasitoids from hosts fed fungus-infected plants weighed less than those from hosts fed uninfected plants,. indicating that the fungus causes the hosts to be of poor quality. However, parasitoids reared from hosts fed fungal-infected diet also tended to be female, a characteristic associated with high host quality. The pathogen, herbivore and parasitoid persist regionally as metapopulations in a shared landscape in Åland, Finland. In an analysis of the metapopulation dynamics of the parasitoid over 6 years, the probability of colonization of a host population increased by more than twofold in patches occupied by the plant pathogen. While we cannot determine that the relationship is causal, a compelling explanation is that the plant pathogen facilitates the establishment by the parasitoid by increasing the fraction of female offspring. This is a novel mechanism of spatial multi-trophic level interactions.
A Real-Time Detecting Algorithm for Tracking Community Structure of Dynamic Networks

In this paper a simple but efficient real-time detecting algorithm is proposed for tracking community structure of dynamic networks. Community structure is intuitively characterized as divisions of network nodes into subgroups, within which nodes are densely connected while between which they are sparsely connected. To evaluate the quality of community structure of a network, a metric called modularity is proposed and many algorithms are developed on optimizing it. However, most of the modularity based algorithms deal with static networks and cannot be performed frequently, due to their high computing complexity. In order to track the community structure of dynamic networks in a fine-grained way, we propose a modularity based algorithm that is incremental and has very low computing complexity. In our algorithm we adopt a two-step approach. Firstly we apply the algorithm of Blondel et al for detecting static communities to obtain an initial community structure. Then, apply our incremental updating strategies to track the dynamic communities. The performance of our algorithm is measured in terms of the modularity. We test the algorithm on tracking community structure of Enron Email and three other real world datasets. The experimental results show that our algorithm can keep track of community structure in time and outperform the well known CNM algorithm in terms of modularity.
Air pollutants in Osaka (Japan)

Increasing emission of anthropogenic particles is causing heavy air pollution. This work intends to analyze the air pollution in greater metropolitan area of Asia and its influence on the environment. We focus on Osaka in Japan because our group has been monitoring suspended particulate matter (PM) at Osaka/AERONET since 2004. PM is usually used as an indicator of air quality, because high PM concentrations can degrade air quality. Osaka is the second largest metropolitan region of Japan and its air is significantly polluted by anthropogenic particles emitted from vehicles and industry. In this study, seasonal variation of air pollutants in Osaka is investigated using ground observations such as PM sampling, AERONET photometry, and numerical model simulation. Results indicate that PM concentrations are high during spring and summer because of yellow dust events and photochemical reactions, respectively. In addition, the impact of anthropogenic PM around Osaka is significant in summer.
T‐type calcium channel blockers inhibit autophagy and promote apoptosis of malignant melanoma cells

We have recently reported that human melanoma cells express a variety of voltage‐gated calcium (Ca2+) channel types, including low‐voltage‐activated T‐type channels that play a significant role in melanoma cell cycle progression. Here, we challenged melanoma metastatic cells with T‐type channel blockers of clinical use and found a dual effect on cell viability: (i) a reduction in the proliferation rate, through a halt in the progression to the G1‐S phase; and (ii) a promotion of cell death that was partially dependent on the activation of caspases. An in‐depth analysis of the death process showed that the apoptotic pathway is preceded by endoplasmic reticulum stress and the subsequent inhibition of the basal macroautophagy which is active in these cells. The effects of pharmacological blockers on Ca2+ homeostasis, autophagy, and cell death were mimicked by T‐type channel gene silencing. These results provide the basis for a new pharmacological and/or gene silencing approach toward tackling melanoma metastasis.
Comparison of MFM / STM Data of Patterned Ultrathin Iron Films Grown on Si ( 001 ) , SiO 2 , and NiO in UHV

The topographic and magnetic structures of patterned 20-nm-thick Fe films grown on Si (001), polycrystalline NiO, and SiO2 substrates are compared by scanning tunneling microscopy/magnetic force microscopy measurements under ultrahigh vacuum conditions to investigate the influence of the different substrates. Iron grows as a polycrystalline film. The size of the crystallites decreases from Si to NiO and SiO2 substrates, respectively, while the surface roughness increases. The increased disorder in the film structure does not necessarily lead to an increased disorder in the magnetic domain structure. Instead, the magnetic structure of iron on NiO is the most complex, which can be attributed to the exchange coupling to the substrate. The antiferromagnetic NiO crystallites exhibit no long range crystallographic ordering which leads to random magnetic orientation. More evidence of the influence of the exchange coupling is found when comparing the magnetic structures of iron on NiO and SiO2 as a function of film thickness in the range of 0–10 nm.
Preoperative modifiable risk factors in colorectal surgery: an observational cohort study identifying the possible value of prehabilitation

Abstract Background: Colorectal cancer (CRC) is the second most prevalent type of cancer in the world. Surgery is the most common therapeutic intervention, and associated with 20–40% reduction in physiological and functional capacity. Postoperative complications occur in up to 50% of patients resulting in higher mortality rates and greater hospital costs. The number and severity of complications is closely related to patients’ preoperative performance status. The aim of this study was to identify the most important preoperative modifiable risk factors that could be part of a multimodal prehabilitation program. Methods: Prospectively collected data of a consecutive series of Dutch CRC patients undergoing colorectal surgery were analyzed. Modifiable risk factors were correlated to the Comprehensive Complication Index (CCI) and compared within two groups: none or mild complications (CCI <20), and severe complications (CCI ≥20). Multivariate logistic regression analysis was done to explore the combined effect of individual risk factors. Results: In this 139 patient cohort, smoking, malnutrition, alcohol consumption, neoadjuvant therapy, higher age, and male sex, were seen more frequently in the severe complications group (CCI ≥20). Patients with severe complications had significantly longer hospital stay (16 vs. 6 days, p < 0.001). The risk for severe complications was increased in patients with ASA score III [adjusted odds ratio (OR) 4.4, 95% CI 1.04–18.6], and hemoglobin level <7 mmol/l (adjusted OR 3.3, 95% CI 1.3–8.2). Compared to having no risk factors, more than one risk factor increased OR of severe complications (crude OR 5.2, 95% CI 1.8–15). Conclusion: This study revealed that the risk of getting severe complications increases with the number of risk factors present preoperatively. Several preoperative patient-related risk factors are modifiable. Multimodal prehabilitation may improve patients’ preoperative status and should be tested in a multicenter randomized controlled trial. With an international consortium (Copenhagen, Montreal, Paris, Eindhoven) we initiated a randomized controlled trial (NTR5947).
On the estimation of elapsed life of oil-immersed power transformers

Inadvertent failure of power transformers has serious consequences on the system reliability, economics, and the revenue accrual. An accurate estimation of transformer life can, to a very large extent, mitigate the problems, besides satisfying the conflicting requirements of optimum utilization of the equipment and safeguarding the reliability. In this endeavour, the authors have planned long duration aging experiments on scaled-down (prorated) models of a transformer, incorporating all of the essential features of actual equipment under normal operating electric stress and accelerated thermal stress. In continuation of the authors' earlier experimental investigations, an elapsed life assessment study has been instituted by acquiring insulation-aging data under accelerated thermal stresses.
The Influence of Diabetes on Degree of Abdominal Aortic Aneurysm Tissue Inflammation

Abdominal aortic aneurysm (AAA) progression and disease resistance are related to transmural degenerative processes and an inflammatory infiltration (INF). Diabetes is associated with low prevalence and growth rate of AAA. We sought to characterize INF in established AAA (INFAAA), in diabetic patients. From 89 male patients aged 52 to 83 years, aneurysm specimens obtained at open asymptomatic nonruptured AAA repair were graded for INF and immunostained using antibodies against T-lymphocytes (CD3) and macrophages (CD68). Diabetic patients had an odds ratio (OR) 3.8, 95% confidence interval ([CI] 1.14-12.96), P = . 03, of experiencing above-median INFAAA. These associations were affected by serum glucose (SG) levels (OR 3.6, 95% CI [0.72-18.77]; P = .1). Macrophage subpopulations higher in diabetic patients (1.44 ± 0.78 versus 0.98 ± 0.76; P = .02) were correlated with SG (r = .21, P = .044). Abdominal aortic aneurysms in diabetic patients are associated with higher INF. Macrophage densities are correlated with SG.
Hypotheses on the Role of Transforming Growth Factor-β in the Onset and Progression of Hepatocellular Carcinoma

Hepatocellular carcinomas (HCCs) constitute a therapeutic challenge with mostly unfavorable outcome. This may reflect our incomplete understanding of disease pathogenesis, e.g. the elucidation of tumorigenic signaling pathways. Knowledge gathered hitherto focuses on genetic alterations that result in the loss of tumor suppressor functions as well as amplification and mutation of cancer genes. Further evidence points to a decisive role of cytostatic and apoptotic functions mediated on hepatocytes by transforming growth factor (TGF)-β. These effects are critical for the control of liver mass with loss of TGF-β activities resulting in hyperproliferative disorders and cancer. This concept is based on studies that describe a bipartite role of TGF-β with tumor suppressor functions at early stages of liver damage and regeneration, whereas during cancer progression TGF-β may turn from a tumor suppressor to a tumor promoter that exacerbates invasive and metastatic behavior. Consequently and most importantly, the oncogenic potential of recent therapeutic approaches against profibrogenic TGF-β effects needs to be carefully delineated and a cancer therapy with specific targets disrupting the TGF-β signaling cascade may be envisioned. In line with this concept, we and others found overexpression of TGF-β antagonist Smad7 in the majority of HCC samples, providing a mechanism for hepatocytes to escape TGF-β-dependent growth control in the process of cancerogenesis.
Nucleosome Remodeling and Transcriptional Repression Are Distinct Functions of Isw1 in Saccharomyces cerevisiae

ABSTRACT The SANT domain is a nucleosome recognition module found in transcriptional regulatory proteins, including chromatin-modifying enzymes. It shows high functional degeneracy between species, varying in sequence and copy number. Here, we investigate functions in vivo associated with two SANT motifs, SANT and SLIDE, in the Saccharomyces cerevisiae Isw1 chromatin-remodeling ATPase. We show that differences in the primary structures of the SANT and SLIDE domains in yeast and Drosophila melanogaster reflect their different functions. In yeast, the SLIDE domain is required for histone interactions, while this is a function of the SANT domain in flies. In yeast, both motifs are required for optimal association with chromatin and for formation of the Isw1b complex (Isw1, Ioc2, and Ioc4). Moreover, nucleosome remodeling at the MET16 locus is defective in strains lacking the SANT or SLIDE domain. In contrast, the SANT domain is dispensable for the interaction between Isw1 and Ioc3 in the Isw1a complex. We show that, although defective in nucleosome remodeling, Isw1 lacking the SANT domain is able to repress transcription initiation at the MET16 promoter. Thus, chromatin remodeling and transcriptional repression are distinct activities of Isw1.
Domain Dependent and Independent Data Cleansing Techniques

Data warehousing is emerging as the cornerstone of an organization’s information Infrastructure. Today every business organization needs accurate and large amount of information to make proper decisions. For taking the business decisions the data should be of good quality. To improve the data quality data cleansing is needed. Data cleansing is fundamental to warehouse data reliability, and to data warehousing success. There are various methods for data cleansing. We classify the methods in two categories domain dependent and domain independent. This paper presents a survey and review of data cleansing methods, classification of existing methods and comparison between them.
Livestock Helminths in a Changing Climate: Approaches and Restrictions to Meaningful Predictions

Simple Summary Parasitic helminths represent one of the most pervasive challenges to livestock, and their intensity and distribution will be influenced by climate change. There is a need for long-term predictions to identify potential risks and highlight opportunities for control. We explore the approaches to modelling future helminth risk to livestock under climate change. One of the limitations to model creation is the lack of purpose driven data collection. We also conclude that models need to include a broad view of the livestock system to generate meaningful predictions. Abstract Climate change is a driving force for livestock parasite risk. This is especially true for helminths including the nematodes Haemonchus contortus, Teladorsagia circumcincta, Nematodirus battus, and the trematode Fasciola hepatica, since survival and development of free-living stages is chiefly affected by temperature and moisture. The paucity of long term predictions of helminth risk under climate change has driven us to explore optimal modelling approaches and identify current bottlenecks to generating meaningful predictions. We classify approaches as correlative or mechanistic, exploring their strengths and limitations. Climate is one aspect of a complex system and, at the farm level, husbandry has a dominant influence on helminth transmission. Continuing environmental change will necessitate the adoption of mitigation and adaptation strategies in husbandry. Long term predictive models need to have the architecture to incorporate these changes. Ultimately, an optimal modelling approach is likely to combine mechanistic processes and physiological thresholds with correlative bioclimatic modelling, incorporating changes in livestock husbandry and disease control. Irrespective of approach, the principal limitation to parasite predictions is the availability of active surveillance data and empirical data on physiological responses to climate variables. By combining improved empirical data and refined models with a broad view of the livestock system, robust projections of helminth risk can be developed.
Structure and dynamics of galaxies with a low surface-brightness disc – I. The stellar and ionized-gas kinematics

Photometry and long-slit spectroscopy are presented for a sample of 6 galaxies with a low surface brightness stellar disc and a bulge The characteris ing parameters of the bulge and disc components were derived by means of a two-dimensional photometric decomposition of the images of the sample galaxies. Their surface-brightness distribution was assumed to be the sum of the contribution of a Sersic bulge and an exponential disc, with each component being described by elliptical and concentric isophotes of consta nt ellipticity and position angle. The stellar and ionised-gas kinematics were measured along the major and minor axis in half of the sample galaxies, whereas the other half was observed only along two diagonal axes. Spectra along two diagonal axes were obtained also for one of the objects with major and minor axis spectra. The kinematic measurements extend in the disc region out to a surface-brightness level µR � 24 mag arcsec 2 , reaching in all cases the flat part of the rotation curve. The stellar kinematics turns out to be more regular and symmetric than the ionised-gas kinematics, which often shows the presence of non-circular, off-plane, and non-ordered motions. This raises the question about the reliability of the use of the ionised gas a s the tracer of the circular velocity in the modeling of the mass distribution, in particular in th e central regions of low surface brightness galaxies.
Customer satisfaction , word-of-mouth intentions , and repurchase intentions : An empirical exploration of the potential for timing-of-measurement effects

The starting point for this paper is the observation made by some authors that customer satisfaction is likely to decay over time. If correct, and if decay is substantial, it means that the timing of satisfaction measurements becomes crucial. This paper reports the result of an empirical study of automobile purchasers in which time between purchase and measurement is accounted for in terms of both “calendar time” and “experience time”. The results indicate that time has only a modest impact on a) the levels of satisfaction, word-of-mouth intentions, repurchase intentions, and b) the associations between these variables.
Host response mechanisms in periodontal diseases

Periodontal diseases usually refer to common inflammatory disorders known as gingivitis and periodontitis, which are caused by a pathogenic microbiota in the subgingival biofilm, including Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, Tannerella forsythia and Treponema denticola that trigger innate, inflammatory, and adaptive immune responses. These processes result in the destruction of the tissues surrounding and supporting the teeth, and eventually in tissue, bone and finally, tooth loss. The innate immune response constitutes a homeostatic system, which is the first line of defense, and is able to recognize invading microorganisms as non-self, triggering immune responses to eliminate them. In addition to the innate immunity, adaptive immunity cells and characteristic cytokines have been described as important players in the periodontal disease pathogenesis scenario, with a special attention to CD4+ T-cells (T-helper cells). Interestingly, the T cell-mediated adaptive immunity development is highly dependent on innate immunity-associated antigen presenting cells, which after antigen capture undergo into a maturation process and migrate towards the lymph nodes, where they produce distinct patterns of cytokines that will contribute to the subsequent polarization and activation of specific T CD4+ lymphocytes. Skeletal homeostasis depends on a dynamic balance between the activities of the bone-forming osteoblasts (OBLs) and bone-resorbing osteoclasts (OCLs). This balance is tightly controlled by various regulatory systems, such as the endocrine system, and is influenced by the immune system, an osteoimmunological regulation depending on lymphocyte- and macrophage-derived cytokines. All these cytokines and inflammatory mediators are capable of acting alone or in concert, to stimulate periodontal breakdown and collagen destruction via tissue-derived matrix metalloproteinases, a characterization of the progression of periodontitis as a stage that presents a significantly host immune and inflammatory response to the microbial challenge that determine of susceptibility to develop the destructive/progressive periodontitis under the influence of multiple behavioral, environmental and genetic factors.