Miracle-dz/UniFAR-FTUs huggingface dataset:
Psycholinguistics in a Modern World – 2019. Proceedings of the 14th International Scientific and Practical Internet Conference (Pereiaslav-Khmelnytskyi, 24–25 October, 2019)

Psycholinguistic literature abounds with bilingual word processing and how it is represented in the brain. There is converging evidence that the right hemisphere is involved to a larger extent in bilinguals. Also in a majority of these studies came out the result that there are differences between real word and non-word processing in terms of processing speed and accuracy. Despite the overwhelming number of studies with a variety of language pairs, research on Turkish-English bilinguals is scarce. In this study we investigated the lateralization of non-word processing TurkishEnglish bilinguals (N=48) who acquired both languages from birth. We found no across-language difference in the processing of non-words. Also, the results showed that bilinguals have bilateral organization, as reported in the literature.
Membrane locking in discrete shell theories

This work is concerned with the study of thin structures in Computational Mechanics. This field is particularly interesting, since together with traditional finite elements methods (FEM), the last years have seen the development of a new approach, called discrete differential geometry (DDG). The idea of FEM is to approximate smooth solutions using polynomials, providing error estimates that establish convergence in the limit of mesh refinement. The natural language of this field has been found in the formalism of functional analysis. On the contrary, DDG considers discrete entities, e.g., the mesh, as the only physical system to be studied and discrete theories are being formulated from first principles. In particular, DDG is concerned with the preservation of smooth properties that break down in the discrete setting with FEM. While the core of traditional FEM is based on function interpolation, usually in Hilbert spaces, discrete theories have an intrinsic physical interpretation, independently from the smooth solutions they converge to. This approach is related to flexible multibody dynamics and finite volumes. In this work, we focus on the phenomenon of membrane locking, which produces a severe artificial rigidity in discrete thin structures. In the case of FEM, locking arises from a poor choice of finite subspaces where to look for solutions, while in the DDG case, it arises from arbitrary definitions of discrete geometric quantities. In particular, we underline that a given mesh, or a given finite subspace, are not the physical system of interest, but a representation of it, out of infinitely many. In this work, we use this observation and combine tools from FEM and DDG, in order to build a novel discrete shell theory, free of membrane locking.
THIS TIME IT IS DIFFERENT! OR NOT? DISCOUNTING PAST DATA WHEN PREDICTING THE FUTURE

We employ a simple method based on logistic weighted least squares to diagnose which past data are less or more useful for predicting the future course of a variable. A simulation experiment shows its merits. An illustration for monthly industrial production series for 17 countries suggests that earlier data are useful for the prediction in a crisis period (2006–2011) and for the period after the crisis (2011–2016). Hence, this time, apparently it was not that different after all.
Assessment of ISSR based molecular variability in teak of South Gujarat

In the present investigation, the molecular variability of teak in south Gujarat has been studied using ISSR marker. A total 12 primers produced clear and reproducible band out of 15 ISSR tested primers. The number of loci was ranged between 6 (UBC-888) to 14 (UBC-884) through amplification of these ISSR primers. Total 91 loci were polymorphic (80.53 %) and remaining 22 loci were monomorphic (19.47 %). Polymorphism percentage (PP) was ranged from 60 % for UBC-889 to 92.31 % for UBC-886. Maximum polymorphic information content value (0.36) EMI (5.68), MI (1.38) and resolving power (5.60) were observed with UBC-878, UBC-887, UBC-876 and UBC-886, respectively. Highest Jacard’s similarity value (0.68) was observed between Tapti and Vansada and Dharampur and Chikhali. However highest Nei & Li’s coefficient (0.84) observed between Bhenskatri and Kalibel. Two dendrograms of the genotypes constructed based on the Jacard’s and Nei & Li’s coefficient for clustering of the ten populations. All the genotypes could be divided in three major groups. The ﬁrst group was further subdivided in to three subgroups: Ia) Tapti, Vansada and Bardipada-B population, Ib) Bardipada-A Ic) Chikhali and Dharampur, Bhenskatri and Kalibel. The second group (II) included Vyara and Kaprada populations. The results of PCoA corresponded well with the cluster analysis obtained through UPGMA. The first three coordinates accounted for 19.55, 16.07 and 13.12 per cent of the total variance, respectively. Thus, total cumulative variance was 48.75 per cent accounted by these three coordinates. Overall, the findings from the study is very useful for survival and conservation of teak genetic resources in threat of climatic change.
Measurement of the tt̄ production cross-section in pp collisions at √ s = 7 TeV using kinematic information of lepton + jets events The ATLAS collaboration

A measurement of the tt̄ production cross section in pp collisions at a center-of-mass energy of √ s = 7 TeV is presented. The analyzed data, corresponding to an integrated luminosity of 0.70 fb−1 recorded by the ATLAS detector at the Large Hadron Collider, consists of candidate events with one charged lepton (electron or muon), large transverse momentum imbalance and at least three jets. The tt̄ signal is distinguished from the background by utilizing the difference in kinematics between the tt̄ signal and the dominant W+jets background events and constructing a likelihood discriminant. The cross section is extracted by fitting the data with discriminant distributions of signal and background with the majority of systematic uncertainties included into the fit. For a top quark mass of 172.5 GeV, the measured cross section is σtt̄ = 179.0 ± 9.8 (stat+syst) ± 6.6(lumi) pb, in agreement with approximate NNLO perturbative QCD calculations.
Application of Achieve-Based Genetic Algorithm for Consequence Management of Contaminant Entering in Water Distribution Networks

In this research, for the first time, finding the optimal operation actions in WDN with the aim of decreasing the optimization time is taken into consideration and Valve(s) and hydrant(s) are employed for isolating and flushing the contamination out of the network. Proposed embedded simulation-optimization approach for consequence management in this study is compromised EPANET simulation model and Archive-based Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). Two objective functions are considered in this paper. The first objective function, minimized numbers of field operational actions related to expenses of the optimal solutions, whereas the other one minimized “consumed contamination mass” take into account for public health and safety. 20 valves and 31 hydrants are designed to insulate the network and discharge pollution, respectively. Without a follow-up management program, the total amount of contamination consumed in the event of network contamination would be 81.3 kg. Using 15 reactive activities, the mass of contamination consumed has reached 60.6 kg. For extracting the pareto front between these objective functions with general NSGA-II which is constraint to maximum 15 operational actions, approximately 73 minutes is required. In order to decrease this optimization time, archive-based NSGA-II is taken into account. With an archive concept, it is possible to not implement a simulation model for similar chromosomes. Sensitivity analysis on the archive capacity of 0, 100, 200, 500, 1,000, 2,000, 3,000, 4,000, and 5,000 chromosomes has been investigated. As an example, with an increase in archive capacity from zero to 5000, the required time for extracting optimal pareto front is reduced from 73 to about 35 minutes, indicating a decrease of more than 50%. The results show that if a small amount is selected for the archive capacity, for example, 50 or 100, the time required to extract optimal activities increases slightly relative to the base state. The reason for this is that if a small amount is selected for the archive capacity, part of the implementation time of the simulation-optimization model will be spent on finding similar chromosomes, and due to the low capacity of the archive, It's time to use the archive capacity. Using the archive, it is possible to reduce the time optimization 1 and consequence management of the network in real time operation.
Melt-processing and properties of thermoplastic composites based on ethylene-acrylic acid copolymer reinforced with wood nanocellulose

Composites reinforced with cellulose nanofibers (CNF), both modified and unmodified cellulose nanocrystals (CNC) and pulp fibers have been prepared through small-scale and large-scale methods. The composites were produced by water-assisted dispersion mixing, drying and compression moulding on the laboratory scale and by extrusion and injection moulding for the large-scale production. The compression-moulded composites were stiffer and stronger by a factor of more than 10 for the CNF or pulp-based samples (>50 wt%) and by a factor of 3 for the CNC-based composites (at 10 wt%). The addition of a lubricant to pulp-based fibers resulted in a behaviour similar to that of a compatibilizer at low concentrations and to that of both compatibilizer and lubricant at higher concentrations. However, when the processing was scaled up, the improvement in properties was much less for the CNF-based and CNC-based composites after being melt-processed via extrusion and injection moulding, despite the fact that they showed a percolated cellulose network. Although the scale-up was successful, aggregates were observed. These aggregates could be reduced to some extent by changing the process design and parameters. Water-assisted extrusion was also used to reduce the aggregation but there was little improvement in properties. It is suggested that the extent of melt flow in the processing method influences the final properties of the composites, despite the nanoscale reinforcement.
MICROPROPAGATION OF SOME NEW PEACH ROOTSTOCKS

Two experiments were conducted in 2011 and 2012 seasons on two newly introduced peach rootstocks, namely Garnem and Cadaman (which are widely used in Europe) in addition to the well-known Nemaguard peach rootstock for comparison. The aim of this study is to optimize tissue culture protocol for propagation of the rootstocks under study. Results indicated that Nodal cuttings were better than shoot-tips in regard to aseptic culture (without contamination after 10 days) during establishment stage. However after one month, the three rootstocks gave rise to 100% survival percentage. Meanwhile number of leaves on Nemaguard rootstock was significantly the greatest. During proliferation stage, Garnem produced the highest shoot number, while Cadaman rootstock produced significantly the lowest shoot number. Regarding the effect of BA supplementation, it was found that BA at 2.0 ml/l resulted in the longest shoots. During rooting stage, 2.0 mg/l GA 3 significantly gave the longest shoots. At root formation, there were no significant differences between the 3 rootstocks concerning root number , rooting percentage and root length. 0.1 mg/l IBA incorporated in half MS medium strength gave the highest significant values for the same traits. During acclimatization stage, Garnem rootstock achieved the highest significant survival ratio, while half strength Murashige and skoog (MS) medium resulted in better survival ratio, plant height and number of leaves. Sand + peat moss potting mixture achieved better survival ratio, plant height and number of leaves than Sand + Vermiculite. Protein banding patterns profile data proved the presence of band with molecular weight 20.094 k Da in Garnem rootstock, which may be responsible for high number of shoots and survival ratio. This band was absent in other rootstocks.
A dissolved organic carbon (DOC) analyzer capable of detecting sub- l M DOC differences in natural fresh waters: A proof of concept study LIMNOLOGY and OCEANOGRAPHY: METHODS

This study reports the development of a new type of organic carbon (OC) analyzer that combines ﬂow through analysis and ultraviolet-wet chemical oxidation (UV-WCO). Total or dissolved OC (TOC or DOC, respectively) is determined through detection of CO 2 as the oxidation product using a vibration insensitive nondispersive infrared (NDIR) gas analyzer. Aided by heat and UV, OC is oxidized by continuously pumping the liquid sample in-line with a carbon-free acidic persulfate reagent at a constant ﬂow rate through the system. The CO 2 produced from oxidation of OC is sparged from solution at a precise ﬂow rate and is continuously detected, producing a stable signal plateau with high signal-to-noise ratio. A low carbon blank/baseline for the analysis is achieved by recycling persulfate reagent alone through the system until minimal CO 2 is detected. We show progress in the optimization of this novel instrument that, unlike standard high temperature combustion (HTC) instrumentation that is subject to high blank variability and micromolar resolution (typical coefﬁcient of variation (CV) (cid:2) 1–2%), has potential applications for studies of DOC net production and consumption by various mechanisms that typically require sub-micromolar precision.
The momentary Fourier transformation derived from recursive matrix transformations

The momentary Fourier transform (MFT) computes the DFT of a discrete-time sequence for every new sample of the sequence. It has an efficient recursive form, and an alternate derivation is given using matrix transformations. A recursive form of the inverse MFT is also given, which is particularly efficient as it involves no multiplications.
Nitric Oxide Signaling in Pseudomonas aeruginosa Bioﬁlms Mediates Phosphodiesterase Activity, Decreased Cyclic Di-GMP Levels, and Enhanced Dispersal (cid:1) †

Bacteria in bioﬁlms often undergo active dispersal events and revert to a free-swimming, planktonic state to complete the bioﬁlm life cycle. The signaling molecule nitric oxide (NO) was previously found to trigger bioﬁlm dispersal in the opportunistic pathogen Pseudomonas aeruginosa at low, nontoxic concentrations (N. Barraud, D. J. Hassett, S. Hwang, S. A. Rice, S. Kjelleberg, and J. S. Webb, J. Bacteriol. 188:7344–7353, 2006). NO was further shown to increase cell motility and susceptibility to antimicrobials. Recently, numerous studies revealed that increased degradation of the secondary messenger cyclic di-GMP (c-di-GMP) by speciﬁc phos- phodiesterases (PDEs) triggers a planktonic mode of growth in eubacteria. In this study, the potential link between NO and c-di-GMP signaling was investigated by performing (i) PDE inhibitor studies, (ii) enzymatic assays to measure PDE activity, and (iii) direct quantiﬁcation of intracellular c-di-GMP levels. The results suggest a role for c-di-GMP signaling in triggering the bioﬁlm dispersal event induced by NO, as dispersal requires PDE activity and addition of NO stimulates PDE and induces the concomitant decrease in intracellular c-di-GMP levels in P. aeruginosa . Furthermore, gene expression studies indicated global responses to low, nontoxic levels of NO in P. aeruginosa bioﬁlms, including upregulation of genes involved in motility and energy metabolism and downregulation of adhesins and virulence factors. site-directed mutagenesis of candidate genes and physiological characterization of the corresponding mutant strains uncovered that the chemotaxis transducer BdlA is involved in the bioﬁlm dispersal response induced by NO. a di-ameter, triplicate. bioﬁlm was by SNP at a ﬁnal concentration of 5 (cid:2) M to the growth medium. This concentration of SNP was determined to generate steady-state NO concentrations of 5 nM in M9 medium in a static glass vial by using the NO analyzer
An Approach for Conﬁguration of the Industry 4.0 Technologies on Production Systems

—From embedded systems to intelligent embedded systems and Cyber-physical Systems (CPSs), the production system is always evolved with the challenge of rapid technology change. But the redesign and development of a complex production system is considered a hard task and with high risk. This paper provides an approach for the managed evolution of a complex production system, which is understood as a CPS and presents a uniﬁed view of computing systems that interact strongly with their physical environment. This approach is used to guarantee the consistency between the system evolution requirements and system implementation during the evolution of this production system, which is driven by the using of Industry 4.0 (I4.0) technologies. Furthermore, the cost of implementation can be optimized with this approach. At the end of this paper, two cases are used to evaluate this approach to ascertain the suitability for the managed evolution of production systems.
Cosema: Content-based Semantic Annotator

—In this paper, we present a library for creating automatic annotations for entities and concepts inside any textual content. The tool is based on DBpedia. In particular, the annotations are generated using the DBpedia link structure as a source of knowledge for Word Sense Disambiguation. DBpedia is used as a reference to obtain information on lexicographic relationships. By using such information in combination with statistical information extraction techniques, it is possible to deduce concepts related to the terms extracted from a corpus. Moreover, by combining statistical information extraction with named entity recognition and the use of the OKKAM ENS infrastructure, it is also possible to obtain unique annotations for entities in the content. The advantage of this approach, in addition of improving information retrieval and categorization capabilities, consists in the fact that the generate concept and entity annotations can be referred to with unique identiﬁers around the Web. For this reason different description for the same entity or concept can be semantically aggregated from the Web.
Neural Representations and Decoding with Optimized Kernel Density Estimates

In in-vivo neurophysiology, firing rates from single neurons are traditionally presented in the form of spike counts or peri-stimulus time histograms which are accumulated and averaged across many presumably identical trials. These histograms may on the one hand provide either only noisy representations of the true underlying spiking activity, or on the other hand do not enable single trial resolution. Kernel density estimates (KDE), a weighted moving average with Gaussian kernels centered around spike times, act as a low-pass filters averaging out rapid changes in the firing frequency. Optimized KDEs with the width of the Gaussians (bandwidth) determined through cross-validation or bootstrapping reflect more accurately the underlying spiking activity and also allow for single trial resolution. We found that optimized bandwidth estimates obtained through unbiased cross-validation (UCV) are an information rich measure, which is applicable to more problems than firing rate estimation, by analyzing both simulations and multiple single-unit recordings from the prefrontal cortex (PFC) of behaving rats. Optimized bandwidth estimates provide a characteristic value for the temporal spiking structure of single units and can be modeled as a function of the temporal precision within spiking patterns accounting for the signal-to-noise ratio in simulated data. The distribution of optimized bandwidth estimates of PFC units and their joint distribution with further spike train metrics allows to segregate groups of cells with distinct spiking properties. Additionally, optimized KDEs obtained with UCV-based bandwidths perform reliable or superior compared to non-optimized KDEs when decoding behavioral events during the task. Moreover, when applied to analyze mechanisms of encoding and internal processing during self-paced cognitive tasks, optimized KDEs facilitate across-trial comparisons of firing activity during trials varying in length, enable to identify neuronal ensembles encoding for task-related events and can unfold population dynamics displaying the underlying neural process.
PHMT_A_293285 61..67

1Department of Midwifery, College of Health Science and Medicine, Debre Berhan University, Debre Berhan, Ethiopia; 2School of Nursing and Midwifery, Institute of Health, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia Introduction: Congenital anomalies are a major public health problem which is defined as structural or functional anomalies that occur during intrauterine life which can be detected prenatally, at birth, or sometimes may only be detected later in infancy. The impact of congenital anomalies is severe in middleand low-income countries than in other developed and developing countries. Objective: To assess the prevalence and trends of congenital anomalies among neonates admitted at Jimma Medical Center from 2017 to 2019. Methods: A facility-based retrospective, descriptive crossectional study was conducted among neonates admitted at Jimma Medical Center from 2017–2019. Descriptive analysis (frequency and percentage) was calculated for the variables. The result was present in the table, text, and figure. Results: From a total of 3346 admitted neonates, 199 (5.95%) neonates were diagnosed with congenital anomalies; of which 120 (60.3%), 146 (73.4%), 144 (72.4%) and 30 (15.1%) of neonates were males, urban dwellers, delivered with normal birth weight and had multiple congenital anomalies, respectively. Central nervous system was the most commonly affected body system 56 (28.1%), followed by the gastrointestinal tract 41 (20.1%) and musculoskeletal system 32 (16.1%). The proportion of congenital anomalies was significantly increasing over time. Conclusion: The overall prevalence of congenital anomalies was high and increased from year to year. The proportions observed in the study indicated that a significant number of neonates were affected and suffered from the impacts of congenital anomalies which need immediate preventive actions such as iron folate supplementation during preconception and early pregnancy. Therefore, design strategies to create community awareness and prevention mechanism of congenital anomalies, and strengthening the care and rehabilitation services for affected patients are crucial.
Mechanical properties of top neck mollusks shell nano composite in different environmental conditions

The mechanism of biological materials structure is very complex and has optimal properties compared to engineering materials. Top Neck mollusks shells, as an example of biological materials, have hierarchical structure, which 95 percent of its structure is Aragonite and 5 percent organic materials. This article detected mechanical properties of the Top Neck mollusks shell as a Nano composite using Nano-indentation method in different situations. Research findings indicate that mechanical properties of the Top Neck mollusks shell including elastic modulus and hardness are higher than a fresh one preserved in -50 centigrade and also a Top Neck mollusks shell preserved in environmental conditions. Nano-indentation test results are so close in range, overall, that hardness degree is 3900 to 5200 MPa and elastic modulus is 70 to 85 GPa.
CORRIGENDUM: Interaction between Four Half-Spin Particles and the Decay of the mu-Meson

The general direct coupling between four fermions is studied. It is a linear combination of the five invariants used in β-decay theory. Altering the order of the particles in the Hamiltonian changes only the coefficients of the linear combination. The formalism of charge conjugation is used with the ordinary theory or the Majorana abbreviated theory for neutral particles. This is applied to the study of the decay of the μ-meson into an electron and two neutrinos.