Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of {psi}(2S) decays to {gamma}pp, {pi}{sup 0}pp, and {eta}pp, and search for pp threshold enhancements

The decays of {psi}(2S) into {gamma}pp, {pi}{sup 0}pp, and {eta}pp have been studied with the CLEO-c detector using a sample of 24.5x10{sup 6} {psi}(2S) events obtained from e{sup +}e{sup -} annihilations at {radical}(s)=3686 MeV. The data show evidence for the excitation of several N{sup *} resonances in p{pi}{sup 0} and p{eta} channels in {pi}{sup 0}pp and {eta}pp decays, and f{sub 2} states in {gamma}pp decay. Branching fractions for decays of {psi}(2S) to {gamma}pp, {pi}{sup 0}pp, and {eta}pp have been determined. No evidence for pp threshold enhancements was found in the reactions {psi}(2S){yields}Xpp, where X={gamma}, {pi}{sup 0}, {eta}. We do, however, find confirming evidence for a pp threshold enhancement in J/{psi}{yields}{gamma}pp as previously reported by BES.
Investigation of Gal-3 Expression Pattern in Serum and Cerebrospinal Fluid of Patients Suffering From Neurodegenerative Disorders

We performed this study to investigate the possibility of a definitive pattern of Galectin-3 (Gal-3) expression in the cerebrospinal fluid (CSF) and serum of Alzheimer’s disease (AD) and Amyotrophic Lateral Sclerosis (ALS) patients. In our study, we collected the CSF and serum samples of 31 AD patients, 19 ALS patients and 50 normal healthy subjects (controls). Quantitative ELISA measured Gal-3 concentrations in CSF and serum samples. A comparative analysis was performed to analyze and understand the Gal-3 expression pattern. A number of neuropsychological assessments and statistical analyses were carried out to validate our findings. Recent researches have established the role of galectins in various neurodegenerative disorders (NDDs), but a definitive pattern of galectin expression is still elusive. A significant difference was observed in serum and CSF Gal-3 concentrations between AD patients and healthy controls. The difference in serum and CSF Gal-3 concentrations between ALS patients vs. controls was lesser as compared to AD patients vs. controls. The difference in serum and CSF Gal-3 concentrations of AD vs. ALS patients was not significant. The MMSE score and serum and CSF Gal-3 concentrations in AD and ALS patients, and controls exhibited a significant positive correlation. The findings of the present study are expected to provide an insight into the definitive pattern of Gal-3 expression in AD and ALS patients, and might thus establish Gal-3 as a strong biomarker. This in turn will open up new and promising research avenues targeting the expression of galectins to modulate the progression of NDDs, and pave the way for novel therapeutic options.
North Atlantic 20th century multidecadal variability in coupled climate models: sea surface temperature and ocean overturning circulation

Abstract. Output from a total of 24 state-of-the-art Atmosphere-Ocean General Circulation Models is analyzed. The models were integrated with observed forcing for the period 1850–2000 as part of the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report. All models show enhanced variability at multi-decadal time scales in the North Atlantic sector similar to the observations, but with a large intermodel spread in amplitudes and frequencies for both the Atlantic Multidecadal Oscillation (AMO) and the Atlantic Meridional Overturning Circulation (AMOC). The models, in general, are able to reproduce the observed geographical patterns of warm and cold episodes, but not the phasing such as the early warming (1930s–1950s) and the following colder period (1960s–1980s). This indicates that the observed 20th century extreme in temperatures are due to primarily a fortuitous phasing of intrinsic climate variability and not dominated by external forcing. Most models show a realistic structure in the overturning circulation, where more than half of the available models have a mean overturning transport within the observed estimated range of 13–24 Sverdrup. Associated with a stronger than normal AMOC, the surface temperature is increased and the sea ice extent slightly reduced in the North Atlantic. Individual models show potential for decadal prediction based on the relationship between the AMO and AMOC, but the models strongly disagree both in phasing and strength of the covariability. This makes it difficult to identify common mechanisms and to assess the applicability for predictions.
Is multifunctionality the future of mountain pastoralism? Lessons from the management of semi-natural grasslands in the Pyrenees.

Land abandonment is pervasive in mountainous Europe. In the present situation of price-cost squeeze on pastoral households and general shift in the role of farming, the development of farming abandonment risk regions is generally associated with adoption of new multifunctional rural development strategies, such as farm tourism, which in the end entail less time being devoted to farming practices. We explored the effects of such developmental scheme on the preservation of semi-natural grasslands, in particular, and on the sustainability of mountain pastoralism, in general. While the effects on the preservation of semi-natural grasslands of full abandonment have been extensively explored, this is not the case of partial abandonment. Results showed that the adoption of simplified and low-cost management regimes, associated with partial abandonment and the increased adoption of part-time farming, immerses semi-natural grasslands in processes of secondary succession that undermine both their conservation and pastoral functions. This points the need for caution when endorsing multifunctional developmental schemes in farming abandonment risk regions, particularly when those imply less labor being devoted to pastoral practices. In conclusion, we stress that in farming abandonment risk regions it is possible to guarantee both viable pastoralism and diversified rural economy. However, it is necessary to implement developmental strategies that are centered on stimulating synergies between pastoralism and other economic activities, rather than promoting activities that depend on additional farmers’ polyvalence.
Is the relationship between marital adjustment and parenting stress mediated or moderated by parenting alliance

The purpose of this study was to explore the mediating and moderating effects of parenting alliance on the relationship between marital adjustment, as represented by the dimensions dyadic consensus, dyadic satisfaction, dyadic cohesion, and affectional expression, and maternal and paternal stress. Self-report data were gathered from 236 Italian families (236 mothers: M = 40.9; SD = 4.4 and 236 fathers: M = 42.9; SD = 4.8) of children aged 6–11 years (M = 8.6; SD = 1.7). A set of regression analyses were conducted to examine whether parenting alliance mediates or moderates the relationship between marital adjustment and parenting stress. Regression analyses were consistent with a model of coparenting as a mediator but not as a moderator of the relationship between marital adjustment and parenting stress. In the case of mothers, parenting alliance mediates the relationships between two dimensions of marital adjustment (dyadic consensus and dyadic cohesion) on parenting stress; in the case of fathers, parenting alliance serves as a mediator of the relationship between the marital adjustment (in terms of dyadic satisfaction) and parenting stress. Implications for future research and interventions are discussed.
Blockchain challenges and opportunities: a survey

Blockchain has numerous benefits such as decentralisation, persistency, anonymity and auditability. There is a wide spectrum of blockchain applications ranging from cryptocurrency, financial services, risk management, internet of things (IoT) to public and social services. Although a number of studies focus on using the blockchain technology in various application aspects, there is no comprehensive survey on the blockchain technology in both technological and application perspectives. To fill this gap, we conduct a comprehensive survey on the blockchain technology. In particular, this paper gives the blockchain taxonomy, introduces typical blockchain consensus algorithms, reviews blockchain applications and discusses technical challenges as well as recent advances in tackling the challenges. Moreover, this paper also points out the future directions in the blockchain technology.
Respiratory burst in neutrophilic granulocytes of carps (Cyprinus carpio): cytometric studies

Present studies aimed at flow cytometric analysis of respiratory burst in neutrophilic granulocytes in carps, at various stages of their ontogeny. Cytometric evaluation of the repiratory burst in PMN cells of carps demonstrated augmented values of the mean fluorescence channel of PMA-stimulated PMN cells, as compared to the value of the fluorescence channel noted for PMN cells which were not activated or did not respond to activation in response to the applied stimulator. Intensity of the fluorescence, compared to the mean fluorescence channel of the cells which were not stimulated by PMA, was most pronounced in 11- to 21-month old carps, average in the youngest carps aging 3 to 9 months, and the lowest in the eldest, 23- to 29-month old carps. In cases of analysis of the mean fluorescence channel in the selected fraction of PMA-stimulated PMN cells, as compared to the mean fluorescence channel of granulocytes which did not respond by the stimulation reaction, the most intense fluorescence was noted to develop in the eldest, i.e. 23- to 29-month old fish. In the remaining carps, on the other hand, the difference in the mean fluorescence channel was significantly lower. In parallel, the highest fraction of PMA-stimulated granulocytes was found in 11- to 21-month old carps, a lower fraction in the youngest carps aging 3 to 9 months and the lowest fraction of such granulocytes in the eldest carps, 23 to 29 months of age.
On the Validity of Idiographic and Generic Self–Concept Implicit Association Tests: A Core–Concept Model

We present a core–concept model (CCM) suggesting that stimulus centrality is an important factor in category representations in implicit measures. We tested the hypothesis that idiographic stimuli (first name, birthday) are more central and therefore assess self–concept in Implicit Association Tests (IATs) more validly than generic and nonspecific stimuli (me, you). Superior validity of the idiographic variant emerged across three different domains of self–concept. First, an idiographic self–esteem IAT displayed higher correlations than a generic IAT with self–assessments and observer–assessments of self–esteem. Second, an idiographic body scheme–IAT predicted subjective ratings of body image and objective body–mass index. Third, an idiographic aggressiveness–IAT had higher incremental validity for unprovoked aggression when interacting with explicit measures of aggressiveness. We conclude that idiographic stimuli focus participants’ attention on the core features of the self, hence, tapping into self–related associations to a stronger degree than generic stimuli. Copyright © 2011 John Wiley & Sons, Ltd.
Analysis of relationships between 25-hydroxyvitamin D, parathyroid hormone and cathelicidin with inflammation and cardiovascular risk in subjects with paediatric systemic lupus erythematosus: an Atherosclerosis Prevention in Paediatric Lupus Erythematosus (APPLE) study

Objectives Previous studies demonstrated associations between reduced serum 25-hydroxyvitamin D (25OHD), inflammation and disease activity in paediatric systemic lupus erythematosus (pSLE). The goal of this study was to assess parathyroid hormone (PTH) in its relationship to vitamin D and inflammation, as well as to better understand the role of human cathelicidin (LL-37) in pSLE. Methods Frozen serum samples collected at baseline of the Atherosclerosis Prevention in Paediatric Lupus Erythematosus (APPLE) study were assayed to determine 25OHD, PTH and LL-37 levels. Pearson’s correlations and Χ2 tests were used to evaluate the relationships between 25OHD, PTH, LL-37, inflammation, disease activity and infection using baseline values collected as part of the APPLE study. Results 201/221 APPLE participants had serum available for analysis. Serum 25OHD was inversely associated with serum PTH, but not LL-37. Serum PTH was not associated with high sensitivity C-reactive protein, carotid intima media thickness or high-density lipoprotein (HDL) or low-density lipoprotein (LDL) cholesterol, but was negatively associated with lipoprotein(a) levels. Despite no association with serum 25OHD, LL-37 was negatively associated with total cholesterol, HDL and LDL cholesterol and positively associated with age. There was no significant difference in mean LL-37 levels in participants with reported infection as an adverse event during the 3-year APPLE study. Conclusions Despite links to vitamin D levels in other studies, LL-37 levels were not associated with baseline serum 25OHD concentrations in paediatric patients with pSLE. Despite the lack of correlation with 25OHD, LL-37 levels in this study were associated with cholesterol levels. Some subjects with pSLE have significantly elevated levels of LL-37 of unknown significance. These exploratory results addressing the role of LL-37 levels in pSLE appear worthy of future study.
Influence of section depth on the structural behaviour of reinforced concrete continuous deep beams

Although the depth of reinforced concrete deep beams is much higher than that of slender beams, extensive existing tests on deep beams have focused on simply supported beams with a scaled depth below 600 mm. In the present paper, test results of 12 two-span reinforced concrete deep beams are reported. The main parameters investigated were the beam depth, which is varied from 400 mm to 720 mm, concrete compressive strength and shear span-to-overall depth ratio. All beams had the same longitudinal top and bottom reinforcement and no web reinforcement to assess the effect of changing the beam depth on the shear strength of such beams. All beams tested failed owing to a significant diagonal crack connecting the edges of the load and intermediate support plates. The influence of beam depth on shear strength was more pronounced on continuous deep beams than simple ones and on beams having higher concrete compressive strength. A numerical technique based on the upper bound analysis of the plasticity theory was d.
Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data

With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship between traffic congestion and built environment, including traffic related factors and land use. Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. The clustering result classified the road segments into four congestion levels, while the regression explained 12 traffic-related factors and land use factors’ impact on road congestion pattern. The continuous congestion was found to mainly occur in the city center, and the factors, such as road type, bus station in the vicinity, ramp nearby, commercial land use and so on have large impact on congestion formation. The Fuzzy C-means clustering was proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service of traffic from the congestion perspective.
Guava leaf volatiles and dimethyl disulphide inhibit response of Diaphorina citri Kuwayama to host plant volatiles

The Asian citrus psyllid, Diaphorina citri Kuwayama, vectors the causal pathogen of huanglongbing (HLB), which is likely the most important disease affecting worldwide citrus production. Interplanting citrus with guava, Psidium guajava L. , was reported to reduce D. citri populations and incidence of HLB. We describe a series of investigations on the response of D. citri to citrus volatiles with and without guava leaf volatiles and to synthetic dimethyl disulphide (DMDS), in laboratory olfactometers and in the field. Volatiles from guava leaves significantly inhibited attraction of D. citri to normally attractive host‐plant (citrus) volatiles. A similar level of inhibition was recorded when synthetic DMDS was co‐released with volatiles from citrus leaves. In addition, the volatile mixture emanating from a combination of intact citrus and intact guava leaves induced a knock‐down effect on adult D. citri. Compounds similar to DMDS including dipropyl disulphide, ethyl‐1‐propyl disulphide, and diethyl disulphide did not affect the behavioural response of D. citri to attractive citrus host plant volatiles. Head‐space volatile analyses were conducted to compare sulphur volatile profiles of citrus and guava, used in our behavioural assays, with a gas chromatography‐pulsed flame photometric detector. DMDS, produced by wounded guava in our olfactometer assays, was not produced by similarly wounded citrus. The airborne concentration of DMDS that induced the behavioural effect in the 4‐choice olfactometer was 107 pg/ml. In a small plot field experiment, populations of D. citri were significantly reduced by deployment of synthetic DMDS from polyethylene vials compared with untreated control plots. Our results verify that guava leaf volatiles inhibit the response of D. citri to citrus host plant volatiles and suggest that the induced compound, DMDS, may be partially responsible for this effect. Also, we show that field deployment of DMDS reduces densities of D. citri and thus may have potential as a novel control strategy.
Snow isotopic content change by sublimation

Abstract We present results from cold-laboratory observations of changes in isotopic (δ18O and δD) content by sublimation in snow and ice samples under nearly isothermal conditions. The results show large increases in observed δ18O and δD in snow samples within several centimeters of the surface. They contradict the assumption of a non-changing isotopic content due to layer-by-layer transport mechanisms driven by sublimation/desublimation processes. The data also do not support the idea that isotopic changes of snow and firn are limited by the possibility that the ice matrix incorporates the atmospheric water vapor and that forced water-vapor diffusion in the pore space (wind pumping) is a requirement for isotopic content change. The observations show that sublimation from ice samples results in much lower increases in heavy-isotope content in the first several millimetres near the sublimating surface over the same time period, despite sublimation intensities similar to those of the snow samples. The results suggest that continuous phase transitions inside snow (recrystallization) are the process responsible for the isotopic content change because they are the primary mass-exchange mechanism between the snow mass and the surrounding environment. Modeling the isotopic content of the ice matrix therefore requires inclusion of a two-stage process: fractionation at the ice-matrix surface due to repetitive phase transitions, and fractionation due to preferable diffusion of light water isotopes in the pore space. For interpretation of the observed natural isotopic profiles in snow, the first process can be linked to the time a snow layer undergoes recrystallization, while the second process is related to the total ice/snow mass gain/loss determined by the external environmental conditions.
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination

Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn a relationship model between Low-Resolution (LR) and High-Resolution (HR) spaces with the help of a training set. They mainly focus on modeling image prior through either model-based optimization or discriminative inference learning. However, when the input LR face is tiny, the learned prior knowledge is no longer effective and their performance will drop sharply. To solve this problem, in this paper we propose a general face hallucination method that can integrate model-based optimization and discriminative inference. In particular, to exploit the model based prior, the Deep Convolutional Neural Networks (CNN) denoiser prior is plugged into the super-resolution optimization model with the aid of image-adaptive Laplacian regularization. Additionally, we further develop a high-frequency details compensation method by dividing the face image to facial components and performing face hallucination in a multi-layer neighbor embedding manner. Experiments demonstrate that the proposed method can achieve promising super-resolution results for tiny input LR faces.
Technical Report : Scalable Support for Incremental View Maintenance in Key-Value Stores

Distributed key-value stores have become the solution of choice for warehousing large volumes of data. However, their architecture is not suitable for real-time analytics, as batch processing is a time-intensive task. To achieve the required velocity, materialized views can be used to provide summarized data for faster access. The main challenge is, the incremental, consistent maintenance of views at large scale. Thus, we introduce our View Maintenance System (VMS) to maintain SQL-like queries in a data-intensive real-time scenario. VMS can be scaled independently and at the same time provides guarantees for consistency, even under high update loads. We evaluate our full-fledged implementation of VMS on top of Apache’s HBase using a synthetic as well as a TPC-H workload. Exploiting parallel maintenance, VMS manages thousands of views in parallel, achieves up to 1M view updates per second and provides <5 ms access to view data.
Deep Learning for Dehazing: Comparison and Analysis

We compare a recent dehazing method based on deep learning, Dehazenet, with traditional state-of-the-art approaches, on benchmark data with reference. Dehazenet estimates the depth map from transmission factor on a single color image, which is used to inverse the Koschmieder model of imaging in the presence of haze. In this sense, the solution is still attached to the Koschmieder model. We demonstrate that the transmission is very well estimated by the network, but also that this method exhibits the same limitation than others due to the use of the same imaging model.
Comparison the functional properties of protein Hydrolysates from poultry byproducts and rainbow trout

Poultry by-products and rainbow trout (Onchorhynchus mykiss) viscera are abundant and underutilized resources that can be used as a unique protein source to make protein hydrolysates. In this study protein hydrolysate were made from these two different sources with Alcalase 2.4L. The functional properties of Fish viscera protein hydrolysate (FPH) compared to poultry by-products protein hydrolysate (PPH) were studied: Solubility, water holding capacity (WHC), oil absorption capacity (OAC), colour, emulsifying and foaming properties. Furthermore, the products were characterized by analyzing their amino acid composition. WHC, emulsifying activity, emulsifying stability and foaming properties and color of the FPH was significantly (P 0.05) different. Methionine and histidine in both protein hydrolysates were the limiting amino acids and FPH had more hydrophobic residue. The differences in the amino acid composition between PPH and FPH may also be responsible for their different behaviours at various pH.