Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid response learning of brand logo priming: Evidence that brand priming is not dominated by rapid response learning

Repetition priming increases the accuracy and speed of responses to repeatedly processed stimuli. Repetition priming can result from two complementary sources: rapid response learning and facilitation within perceptual and conceptual networks. In conceptual classification tasks, rapid response learning dominates priming of object recognition, but it does not dominate priming of person recognition. This suggests that the relative engagement of network facilitation and rapid response learning depends on the stimulus domain. Here, we addressed the importance of the stimulus domain for rapid response learning by investigating priming in another domain, brands. In three experiments, participants performed conceptual decisions for brand logos. Strong priming was present, but it was not dominated by rapid response learning. These findings add further support to the importance of the stimulus domain for the relative importance of network facilitation and rapid response learning, and they indicate that brand priming is more similar to person recognition priming than object recognition priming, perhaps because priming of both brands and persons requires individuation.
An R package to enrich metabolomics data : FELLA

1B2SLab, Departament d’Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, CIBER-BBN, Barcelona, 08028, Spain 2Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, 08950, Spain 3Centre for Omic Sciences, Department of Electronic Engineering, Rovira i Virgili University, Reus, 43204, Spain 4Metabolomics Platform, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, 28029, Spain 5Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals, University of Manchester, Manchester, M1 7DN, United Kingdom
O ct 2 01 0 Subtle Is The Manifestation Of Chiral Symmetry In Nuclei And Dense Nuclear Matter

The history of how chiral symmetry has entered in nuclear physics, in which Gerry Brown and I have participated from 1970 up to today, is described from my personal viewpoint. The route of development we have traversed together goes from meson exchange currents, to “little chiral bag,” to chiral effective field theory, to “Brown-Rho scaling” and then to dense matter and chiral phase transition. It has been a great fun and exciting, some right and some wrong in what we have done together, but none that can be dismissed as “not even wrong. ” We have found all along that whatever signal there may be for the manifestation of chiral symmetry in nuclear medium, be it at low density in meson exchange currents or at high density approaching the chiral phase transition, is very similar in its intricacy and subtlety. ∗To appear in Festschrift for Gerry Brown, ed. Sabine Lee (World Scientific, Singapore)
Dynamics and Control on a Discrete Multi-Inventory System

In this paper, a discrete two item inventorymodel for deteriorating itemswith a linear stock dependent demand rate without regular supply is given first; then, regular supply is taken into account, which may be regarded as feedback control. An objective function is formed to calculate the net profit with respect to possible profits and possible loss. A necessary criterion for the steady state optimal control problem for optimizing the objective function subjected to the constraints given by the difference equations of the inventory is obtained. At last, an improved model is put forward.
EasyChair Preprint No 1024 Dynamic Slicing for Android

Dynamic program slicing is useful for a variety of tasks, from testing to debugging to security. Prior slicing approaches have targeted traditional desktop/server platforms, rather than mobile platforms such as Android. Slicing mobile, event-based systems is challenging due to their asynchronous callback construction and the IPC (interprocess communication)heavy, sensor-driven, timing-sensitive nature of the platform. To address these problems, we introduce AndroidSlicer, the first slicing approach for Android. AndroidSlicer combines a novel asynchronous slicing approach for modeling data and control dependences in the presence of callbacks with lightweight and precise instrumentation; this allows slicing for apps running on actual phones, and without requiring the app’s source code. Our slicer is capable of handling a wide array of inputs that Android supports without adding any noticeable overhead. Experiments on 60 apps from Google Play show that AndroidSlicer is effective (reducing the number of instructions to be examined to 0.3% of executed instructions) and efficient (app instrumentation and post-processing combined takes 31 seconds); all while imposing a runtime overhead of just 4%. We present three applications of AndroidSlicer that are particularly relevant in the mobile domain: (1) finding and tracking input parts responsible for an error/crash, (2) fault localization, i.e., finding the instructions responsible for an error/crash, and (3) reducing the regression test suite. Experiments with these applications on an additional set of 18 popular apps indicate that AndroidSlicer is effective for Android testing and debugging.
Comparative Analysis on various Methods of Spectrum Slicing

Optical fiber becomes the fundamental means of transmission in the communication area. Spectrum slicing technique is very useful technique which mostly used nowadays in many communication systems due to its large capacity handling capability. The main advantage of spectrum slicing is that it is more power efficient and less costly than traditional laser technology. Mostly spectrum slicing can be done by using wavelength division multiplexing (WDM) and array waveguide grating (AWG). Semiconductor optical amplifier (SOA) can be used to reduce the intensity of noise in spectrum sliced WDM system. For the past decades of time several works are going on different spectrum slicing technique and the effects of slicing in optical communication system. This paper reviews about various spectrum slicing techniques used in optical communication system.
Evaluation of the nutritive value of the browse species Gliricidia sepium ( Jacq )

The nutritive value of the leaves of three leguminous browse species (Gliricidia sepium, Leucaena leucocephala and Cajanus cajan) harvested from Nigeria was determined. In vitro gas production from incubation with rumen fluid, including the effect of polyethylene glycol (PEG) on gas production was used. Species had a significant effect on in vitro gas production with G. sepium producing the highest volume of gas. The addition of PEG caused a significant increase in the volume of gas produced by all three browse species (P<0.01), indicating that they all contain phenolic compounds which could have anti-nutritive properties. Measurements of in sacco DM degradability showed that 24 h rumen DM degradability for G. sepium, L. leucocephala and C. cajan is 62.86, 55.25 and 55.63%, respectively. G. sepium had statistically higher DM degradability (P<0.01). The results suggest that, among the compared species, G. sepium has the highest nutritive value and that L. leucocephala and C. cajan are of similar value.
Roger Alan Stein

Efficient distributed numerical word representation models (word embeddings) combined with modern machine learning algorithms have recently yielded considerable improvement on automatic document classification tasks. However, the effectiveness of such techniques has not been assessed for the hierarchical text classification (HTC) yet. This study investigates application of those models and algorithms on this specific problem by means of experimentation and analysis. Classification models were trained with prominent machine learning algorithm implementations—fastText, XGBoost, and Keras’ CNN—and noticeable word embeddings generation methods—GloVe, word2vec, and fastText—with publicly available data and evaluated them with measures specifically appropriate for the hierarchical context. FastText achieved an LCAF1 of 0.871 on a single-labeled version of the RCV1 dataset. The results analysis indicates that using word embeddings is a very promising approach for HTC.
Active Queue Management ( AQM ) Performance Analysis Based On Controled Delay ( CoDel ) Algorithm On User Datagram Protocol ( UDP )

Bufferbloat merupakan salah satu kondisi buffer dengan ukuran besar yang cenderung selalu penuh dan menyebabkan antrian panjang didalam buffer, jika hal ini terjadi secara terus-menerus maka dapat menyebabkan jeda transmisi yang tinggi. Bufferbloat sering terjadi pada aplikasi berbasis real-time. Active Queue Management (AQM) merupakan salah satu cara untuk menangani terjadinya bufferbloat. , AQM umumnya menggunakan algoritma Drop Tail untuk menangani kondisi antrian panjang dalam buffer router di jaringan. Namun demikian, performansi AQM berbasis Drop Tail kurang dapat diandalkan karena jeda transmisi dalam keadaan bufferbloat masih tinggi. Telah banyak studi dilakukan untuk menangani bufferbloat, seperti Drop Tail, Random Early Detection (RED) dan Controlled Delay (CoDel). Dari riset yang telah dilakukan tersebut masih sulit ditemukan performasi algoritma terbaik dalam menangani bufferbloat. Untuk hal tersebut, paper ini menyajikan studi performansi penanganan bufferbloat menggunakan ketiga algoritma diatas. Dalam studi ini, video streaming digunakan sebagai traffic uji untuk menentukan performansi algoritma terbaik dalam mengatasi bufferbloat. Sedangkan metriks uji yang digunakan dalam riset ini adalah latency, throughput dan packet-loss. Analisa hasil pengujian mengambil 3 hasil terbaik dalam setiap percobaan. Hasil pengujian menunjukan performansi algoritma CoDel jauh lebih baik dalam menangani latency yang tinggi pada kondisi bufferbloat dibandingkan RED dan Drop Tail. Namun untuk packet-loss dan throughput performansi RED dan Drop Tail masih unggul dibanding algoritma CoDel.
Integrated trajectory planning and control for obstacle avoidance manoeuvre using nonlinear vehicle model-predictive algorithm

In the current literature, model-predictive (MP) algorithm is widely applied in autonomous vehicle trajectory planning and control but most of current studies only apply the linear tyre model which cannot accurately present the tyre non-linear characteristic. Furthermore, most of these studies separately consider the trajectory planning and trajectory control of autonomous vehicle and few of them have integrated the trajectory planning and trajectory control together. To fill in above research gaps, this study proposes the integrated trajectory planning and trajectory control method using nonlinear vehicle MP algorithm. In order to fully utilise the advantages of four-wheel-independent-steering (4WIS) and fourwheel-independent-driving (4WID) vehicle, the MP algorithm is proposed based on four wheel dynamics model and nonlinear Dugoff tyre model. This study also proposes the mathematic modelling of the static obstacle and dynamic obstacle for the obstacle avoidance manoeuvre of the autonomous vehicle. Finally, simulation results have been presented to show the effectiveness of proposed control method.
Dancing with Strangers? Initial Trust and the Formation of Initial Collaborations between New Ventures and Corporate Venture Capitals

Theories of initial trust formation posit two distinct perspectives, an institutional and a cognitive account. In an effort to overcome this conceptual impasse, we investigate relevant sources of institutional and cognitive trust in an integrative model and empirically assess the relative importance of each view. We use the context of new venture’s initial investment ties with corporate venture capital as these initial inter-organizational relationships are particularly fraught with great risks of misappropriation for new venture’s technological resources, and thus, the trustworthiness of corporate investors is an important consideration for new ventures. We find that institutional trust has no direct effect on initial trust in this context; however, not only cognitive processes producing expectations of trust have direct effect on initial trust, but also they moderate the relationship between institutional trust and initial trust.
Environmental Policy After Brexit – How Does the Introduction of a Fossil-Energy Tax Affect the British Economy ?

As the United Kingdom (UK) is set to leave the European Union (EU) in 2019, it faces large uncertainties especially with respect to international policy such as climate policies. The UK still has to meet previously agreed upon climate targets but it now has the possibility to abolish EU climate policies and implement different strategies on a national level. These chosen national strategies could be more beneficial to the UK as they are set according to its country-specific characteristics. A proposed strategy is the introduction of a carbon tax on energy sectors. Thus, this study analyses the effect of an ad valorem uniform fossil-energy tax on British energy sectors using a computable general equilibrium model. The envisioned tax is applied at two different levels: production and consumption. The differentiation of a tax according to channels allows to determine where an implementation of the tax would be least distortive to the economy and induce smaller welfare losses. The results found in the analysis confirm the hypothesis by the literature that a tax on producers leads to larger sectoral contractions in total and a larger decrease in welfare. Based on the outcomes, rough policy recommendations can be made. If the British government wants to support the production of green energy it should tax consumers rather than producers as producers might switch to cheaper inputs (i.e fossil fuels) if production costs increase through the introduction of a tax. Moreover, if the British government is interested in preventing welfare losses in form of negative % changes in value of GDP it should implement the tax on a consumer level as well.
Potential New Opportunities for Herbal Plants as

Nutritional strategies to improve the production of ruminants have attracted the attention of nutritionists for several years. Studies have shown that 8 to 12% of digestible energy is lost as methane in ruminants. Furthermore, methane emissions from the livestock are the major contributor to increase the Greenhouse gases on earth (Johnson and Johnson, 1995). Manipulation of the rumen microbial ecosystem can improve the efficiency of feed utilization and animal performance (Benchaar and Chouinard, 2006). Organic acids, halogen compounds and ionophore antibiotics, in particular, have been shown to decrease the total amount of methane and NH3-N produced, increasing animal efficiency. However, concerns regarding the use of antibiotics in animal production have arisen because of awareness of the risk of multidrug-resistant bacteria. The plants have secondary compounds that affect ruminants production positively (Wallace, 2004). These compounds, including phenolic, change the fermentation conditions (pH, propionate proportion, and protein degradation) and therefore affect rumen microbial metabolism (Balcells et al. 2012). Studies show that some plant species and their components could be used as alternatives to antibiotics for manipulating rumen fermentation and reducing ruminal methane production, and Two experiments (Exp.) were conducted to determine the effects of dietary addition of five herbal plants (HP) alone or as herbal plant mixture (HPM) on in vitro gas production and ruminal fermentation patterns. In Exp. 1, five varieties of HP (garlic, eucalyptus, cinnamon, thyme, and peppermint) were added to the diet at 3 different concentrations (5, 10 and 15% of concentrate dry matter). In Exp. 2, the HPM was used at the concentration of 2, 4 and 6%. The results show that most ruminal fermentation parameters were affected by HP and HPM. The addition of HP and HPM to the diet significantly increased total in vitro gas production (b) and the fractional rate constant of gas production (c, P<0.01). Concentrations of NH3 (Exp. 1), CH4 (Exp. 1 and 2), total volatile fatty acids (Exp. 1 and 2), acetate (Exp. 1), propionate (Exp. 1 and 2) and acetate/propionate ratio (Exp. 1) were affected by HP and HPM. Ruminal short-chain fatty acids (SCFA, P<0.01 and P<0.05 for 16 or 24 h, respectively) and organic matter degradability (OMD) were higher at 16 or 24 h of incubation with HP than control. However, dry matter degradability (DMD) and metabolizable energy (ME) of 6% HPM were lowered compared to control after 24 h (P<0.003 and P<0.04, respectively). The results point to the promising beneficial effects of HP and HPM in ruminant nutrition as rumen modifier to improve digestibility and nutrient utilization that may improve performance on in vivo conditions.
LEAF ESSENTIAL OIL FROM Croton pulegiodorus Baill SHOWS INSECTICIDAL ACTIVITY AGAINST Sitophilus zeamais Motschulsky

ABSTRACT The present study aimed to assess the effects of the essential oil of Croton pulegiodorus Baill on eight populations of Sitophilus zeamais Motschulsky with different patterns of susceptibility to synthetic insecticides. Populations of S. zeamais were obtained from Sete Lagoas-MG, Jacarezinho-PR, Bom Conselho-PE, Garanhuns-PE, Jupi-PE, Lajedo-PE, São João-PE and Serra Talhada-PE. To estimate the lethal concentrations (LC50 and LC90) of oil for each population, fumigation tests were performed. The susceptibility of S. zeamais to the essential oil varied among populations. Garanhuns and Bom Conselho was considered the susceptibility patterns, presenting the lowest LC50 (3.40 μL L-1 of air) and LC90 (9.60 μL L-1 of air) for the essential oil, respectively. The population from Jupi exhibited the highest LC50 (14.49 μL L-1 of air) and LC90 (19.60 μL L-1 of air) for C. pulegiodorus. The resistance ratio ranged from 1.84 for the São João to 4.26 for the Jupi population. Thus, the essential oil of C. pulegiodorus showed fumigant activity, causing mortality in all S. zeamais populations used.
Deposited in DRO : 23 August 2018 Version of attached le : Published Version Peer-review status of attached

Background: The World Health Organization’s Framework Convention on Tobacco Control, enforced in 2005, was a watershed international treaty that stipulated requirements for signatories to govern the production, sale, distribution, advertisement, and taxation of tobacco to reduce its impact on health. This paper describes the timelines, context, key actors, and strategies in the development and implementation of the treaty and describes how six sub-Saharan countries responded to its call for action on tobacco control. Methods: A multi-country policy review using case study design was conducted in Cameroon, Kenya, Nigeria, Malawi, South Africa, and Togo. All documents related to the WHO Framework Convention on Tobacco Control and individual country implementation of tobacco policies were reviewed, and key informant interviews related to the countries’ development and implementation of tobacco policies were conducted. Results: Multiple stakeholders, including academics and activists, led a concerted effort for more than 10 years to push the WHO treaty forward despite counter-marketing from the tobacco industry. Once the treaty was enacted, Cameroon, Kenya, Nigeria, Malawi, South Africa, and Togo responded in unique ways to implement tobacco policies, with differences associated with the country’s socio-economic context, priorities of country leaders, industry presence, and choice of strategies. All the study countries except Malawi have acceded to and ratified the WHO tobacco treaty and implemented tobacco control policy. Conclusions: The WHO Framework Convention on Tobacco Control provided an unprecedented opportunity for global action against the public health effects of tobacco including non-communicable diseases. Reviewing how six sub-Saharan countries responded to the treaty to mobilize resources and implement tobacco control policies has provided insight for how to utilise international regulations and commitments to accelerate policy impact on the prevention of non-communicable diseases.
Aalborg Universitet Proteomics dataset The colon mucosa from inflammatory bowel disease patients , gastrointestinal asymptomic rheumatoid arthritis patients , and controls

The datasets presented in this article are related to the research articles entitled “Neutrophil Extracellular Traps in Ulcerative Colitis: A Proteome Analysis of Intestinal Biopsies” (Bennike et al., 2015 [1]), and “Proteome Analysis of Rheumatoid Arthritis Gut Mucosa” (Bennike et al., 2017 [2]). The colon mucosa represents the main interacting surface of the gut microbiota and the immune system. Studies have found an altered composition of the gut microbiota in rheumatoid arthritis patients (Zhang et al., 2015; Vaahtovuo et al., 2008; Hazenberg et al., 1992) [5–7] and inflammatory bowel disease patients (Morgan et al., 2012; Abraham and Medzhitov, 2011; Bennike, 2014) [8–10]. Therefore, we characterized the proteome of vier Inc. This is an open access article under the CC BY license T.B. Bennike et al. / Data in Brief 15 (2017) 511–516 512 Neutrophil extracellular traps Dataset Sigmoidoscopy Colonoscopy
Dynamical stability and complex topologies : patterns and mechanisms in food webs LAVRAS – MG 2018

Food-web theory evaluates feeding relations between species, and has been recognized as one of the fundamental principals in ecology. However, in order to account for the complexity in which these interactions occur in natural communities, studies either emphasizes topological aspects of food-webs, or the mechanisms for stability of population dynamics. Furthermore, collecting high-quality food-web data involves extensive field works, while the consistency of the final data is conditioned to the objectives of the study, species identification and methods for inferring interactions. Thus, studies usually design theoretical models for the feeding behavior of consumers, in order to generate enough data for theoretical analyses. This work aimed to assess patterns and mechanisms of food webs, specifically the relationship between the complexity of natural communities, and their stability to endure perturbations. In general, the analyses combined theory and practice, using dynamical stability, probabilistic models, statistical inferences, and empirical data. Specifically, this work evaluated the causal relationship between the occurrence of dynamically stable modules (components of th food-web resilient to small perturbations) and statistical patterns of food-web topology. This work also evaluated the ability of food-web models to reproduce observable patterns of association between the feeding behavior of consumers and resources traits. The results suggest that dynamical stability of three and fourspecies modules allows the occurrence of complex food-web topology. This stability, however, is conditioned to a hurdle effect, which favors the probability and frequency of occurrence of modules with higher expected stability. Further, the causal relationship between dynamics and topology occurs through these stable modules, which allow the occurrence of observable topological patterns. Finally, the results contribute to the understanding of the adequacy of inferences under theoretical models to empirical patterns, and the ability of models that assume few dimensions of the niche space to reproduce the complex matching patterns between predators feeding behavior with their resources traits.