Miracle-dz/UniFAR-FTUs huggingface dataset:
Drought Stress Effects on Plant Water Relations, Growth, Fruit Quality and Osmotic Adjustment of Tomato (Solanum lycopersicum) under Subtropical Condition

The pot experiments were conducted in 2 subsequent years in the net house of the Dept. of Soil, Water and Environment, Dhaka University to evaluate the effect of water stress on the growth, plant water relations, fruit quality and osmotic adjustment of seven tomato cultivars. The percentage of field capacity levels were 40, 70 and 100. The tomato plants subjected to water stress during their growth period had decreased relative water content (RWC) of leaves and moisture content in tomatoes compared with the plants supplied with adequate moisture. Water use efficiency (WUE) also decreased with increasing moisture stress. A significant increase in organic solutes, glucose (85%), fructose (62%), sucrose (121%) and proline (103%) at 40% F.C. compared with 100% F.C. showed a tendency of these plants to adjust osmotically. Ascorbic acid, citric acid and malic acid were also significantly enhanced by water stress treatments. The quality of fruits was improved as a result of the synthesis of these acids. Original Research Article Nahar and Ullah; AJAHR, 1(2): 1-14, 2018; Article no.AJAHR. 39824 2 Water stress did not affect the height of plants and no physical damage due to stress was observed in fruits and were over 90% red. Ripening and fruit quality showed that none of the stress-treated tomatoes deteriorated in quality. On the other hand, water stress enhanced the sweetness of the tomatoes by increasing their glucose, fructose, and sucrose contents and improved the quality by increasing the amount of important acids such as ascorbic acid, malic acid and citric acid.
I2MANET Security Logical Specification Framework.

This paper presents an immuneinspired logical specification framework for securing Mobile Ad hoc Networks (I 2 MANETs). The framework simulates the Human Immune System in: first response, second response, adaptability, distributability and many other Immune features and properties. The framework has the ability to monitor, detect, classify, and block the corrupted packets that transfer between nodes in a distributed environment. Scalability and bandwidth conservation are the well pointed out issues in the framework. The framework can be applied to many applications which depend on ad hoc technology such as emergency, healthcare systems, and Mcommerce.
The Perceptions of EFL Teachers on the Impact of the Usage of Code-Switching in EFL Classroom Management

This study aims to investigate university level language teachers’ views on how their usage of code switching affects their classroom management in EFL classes. This study is conducted in Turkish setting, which is Cyprus and especially at the European University of Lefke. The participants are selected randomly from the same university and they are the members of the English Preparatory School. They were asked to write five daily reports during one week and they were interviewed for 30 minutes. In order to reach a valid and reliable data, two data collection methods were chosen, which were reflective reports and interview; hence, the nature of the current study was qualitative. In other words, cross-case analysis was used to examine and identify common themes between cases. This study lasted three months; therefore, it was not a longitudinal work, so this research was limited and needed further inquiry. In Cyprus EFL classes, code-switching should be considered and investigated more in classroom management. It is revealed that there is a need to raise EFL teachers’ awareness on when and when not to use code-switching. There are certain ways to promote code-switching in EFL classes and there are by providing more seminars, workshops and organizational meetings weekly or monthly.
Integrating neural networks into the blind deblurring framework to compete with end-to-end learning based methods

Recently, end-to-end learning methods based on deep neural network (DNN) have been proven effective for blind deblurring. Without human-made assumptions and numerical algorithms, they are able to restore images with fewer artifacts and better perceptual quality. However, in practice, we also find some of their drawbacks. Without the theoretical guidance, these methods can’t perform well when the motion is complex and sometimes generate unreasonable results. In this paper, for overcoming these drawbacks, we integrate deep convolution neural networks into conventional deblurring framework. Specifically, we build Stacked Estimate Residual Net (SEN) to estimate the motion flow map and Recurrent Prior Generative and Adversarial Net (RP-GAN) to learn the implicit image prior in the optimization model. Comparing with state-of-the-art end-toend learning based methods, our method restores reasonable details and shows better generalization ability.
Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules

—Recently deep learning-based image compression methods have achieved signiﬁcant achievements and gradually outperformed traditional approaches including the latest standard Versatile Video Coding (VVC) in both PSNR and MS-SSIM metrics. Two key components of learned image compression frameworks are the entropy model of the latent representations and the encoding/decoding network architectures. Various models have been proposed, such as autoregressive, softmax, logistic mixture, Gaussian mixture, and Laplacian. Existing schemes only use one of these models. However, due to the vast diversity of images, it is not optimal to use one model for all images, even different regions of one image. In this paper, we propose a more ﬂexible discretized Gaussian-Laplacian-Logistic mixture model (GLLMM) for the latent representations, which can adapt to different contents in different images and different regions of one image more accurately. Besides, in the encoding/decoding network design part, we propose a concatenated residual blocks (CRB), where multiple residual blocks are serially connected with additional shortcut connections. The CRB can improve the learning ability of the network, which can further improve the compression performance. Experimental results using the Kodak and Tecnick datasets show that the proposed scheme outperforms all the state-of-the-art learning-based meth-ods and existing compression standards including VVC intra coding (4:4:4 and 4:2:0) in terms of the PSNR and MS-SSIM. The project page is at https://github.com/fengyurenpingsheng/ Learned-image-compression-with-GLLMM.
THE RELATIONSHIP BETWEEN BURNOUT AND JOB SATISFACTION OF PHYSICAL EDUCATION TEACHERS IN SHABESTAR CITY *

The aim of this study was to identify the relationship between burnout and job satisfaction of physical education teachers in the schools of Shabestar city. The study was descriptive and correlation. 92 teachers were selected randomly relative class in the research, burnout questionnaire (MBI) of Maslesh and Jackson has been used in order to measure job burnout and job satisfaction questionnaire of Visoki (JDI) has been used to measure the job satisfaction of managers. Collected Data has been analyzed by using the Pearson correlation coefficient, t-test for independent groups and multiple linear regressions. The results show that the mean of emotional exhaustion of sports teachers was average and the means of their depersonalization and personal success were at a low level and there is a significant difference between the degree of depersonalization among male and female sports teachers. Also, the mean of job satisfaction among sports teachers was higher than the average level and there is no significant difference in the Job satisfaction among male and female sports teachers. Results of regression analysis indicate that individual success and depersonalization were the most effective in predicting job satisfaction respectively and explain % 44 percent of the changes in the job satisfaction.
The Optimisation and Production of Stable Homogeneous Amine Enriched Surfaces with Characterised Nanotopographical Properties for Enhanced Osteoinduction of Mesenchymal Stem Cells

1. *Dr J.M. Curran, Dr Rui Chen, Dr Akhtar and Dr R. D’Sa, Centre for Materials and Structures, School of Engineering, Harrison Hughes Building, University of Liverpool, U.K. L69 3GH j.curran@liv.ac. uk 2. Professor J.A. Hunt, Medical Technologies and Advanced Materials, Nottingham Trent University, U.K. NG11 8NS 3. Dr S. Fawcett, Clinical Engineering, Institute of Ageing and Chronic Disease, University of Liverpool, U.K. L69 3GA
Proceedings of the Working group 3 “ Rare B , D and K decays ” for CKM 2018 ( Heidelberg )

Rare B, D and K decays provide interesting probes of the Standard Model (SM), with a potential sensitivity to New Physics (NP) higher than other, more common, decays. Their experimental measurement is challenging, and their theoretical interpretation requires a precise knowledge of QCD at low energies, in the non-perturbative (hadronic) regime. The various b, c, s decays provide different types of tests of the Standard Model, which can be performed in different experimental settings and which may exhibit correlated deviations in models of New Physics.
Filtering, Negotiating and Shifting in the Understanding of Information System Requirements

Traditional requirement engineering approaches pay little attention to how the requirements are interpreted and shared by different parties in an organization. Our study extends the previous research of social and organiza- tional requirement elicitation by suggesting that requirement shaping during a project can be described as a process where attitudes and expectations are filtered, shifted and negotiated repeatedly. We studied a large e-commerce platform development project by applying grounded theory and observed that preconceptions, attitudes and expectations about systems development among project participants filtered the understanding of software require-
Investigating Particle Transport and Fate in the Sacramento-San Joaquin Delta Using a Particle Tracking Model

Movements of pelagic organisms in the tidal freshwater regions of estuaries are sensitive to the movements of water. In the Sacramento-San Joaquin Delta—the tidal freshwater reach of the San Francisco Estuary—such movements are key to losses of fish and other organisms to entrainment in large waterexport facilities. We used the Delta Simulation Model-2 hydrodynamic model and its particle tracking model to examine the principal determinants of entrainment losses to the export facilities and how movement of fish through the Delta may be influenced by flow. We modeled 936 scenarios for 74 different conditions of flow, diversions, tides, and removable barriers to address seven questions regarding hydrodynamics and entrainment risk in the Delta. Tide had relatively small effects on fate and residence time of particles. Release location and hydrology interacted to control particle fate and residence time. The ratio of flow into the export facilities to freshwater flow into the Delta (export:inflow or EI ratio) was a useful predictor of entrainment probability if the model were allowed to run long enough to resolve particles’ ultimate fate. Agricultural diversions within the Delta increased total entrainment losses and altered local movement patterns. Removable barriers in channels of the southern Delta and gates in the Delta Cross Channel in the northern Delta had minor effects on particles released in the rivers above these channels. A simulation of losses of larval delta smelt showed substantial cumulative losses depending on both inflow and export flow. A simulation mimicking mark–recapture experiments on Chinook salmon smolts suggested that both inflow and export flow may be important factors determining survival of salmon in the upper estuary. To the extent that fish behave passively, this model is probably suitable for describing Delta-wide movement, but it is less suitable for smaller scales or alternative configurations of the Delta.
Progression of Mineral Ion Abnormalities in Patients with Jansen ’ s Metaphyseal 1 Chondrodysplasia 2 3

Progression of Mineral Ion Abnormalities in Patients with Jansen’s Metaphyseal 1 Chondrodysplasia 2 3 Hiroshi Saito, Hiroshi Noda, Philippe Gatault, Detlef Böckenhauer, Kah Yin Loke, 4 Olaf Hiort, Caroline Silve, Erin Sharwood, Regina Matsunaga Martin, Michael J. 5 Dillon, David Gillis, Mark Harris, Sudhaker D. Rao, Richard M. Pauli, Thomas J. 6 Gardella, and Harald Jüppner 7 8 Endocrine Unit and Pediatric Nephrology Unit, Massachusetts General Hospital and 9 Harvard Medical School, Boston, MA 02114, USA 10 CHRU Bretonneau 2, 37044 Tours, France 11 UCL Centre for Nephrology and Nephrology, Great Ormond Street Hospital for Children, 12 London, UK 13 Department of Pediatrics, National University Hospital, Singapore 119074 14 Endocrinology and Diabetes, Department of Paediatrics, University of Lübeck, 23538 15 Lübeck, Germany 16
CGHcall: calling aberrations for array CGH tumor profiles

UNLABELLED CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint information from segmentation and by inclusion of several biological concepts that are ignored by existing algorithms. The algorithm is validated for simulated and verified real array CGH data. By incorporating more than three classes, CGHcall improves detection of single copy gains and amplifications. Moreover, it allows effective inclusion of chromosome arm information. AVAILABILITY An R-package (GUI), a manual and an example data set are available at http://www.few. vu.nl/~mavdwiel/CGHcall.html. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Opportunistic Sensing in Wireless Sensor Networks: Theory and Application

In real world, wireless heterogeneous sensor network (HSN) design and information integration are necessary in different applications. Traditionally, wireless sensor networks information integration is set up to passively fuse all received data. Such an approach is computationally challenging and operationally ineffective because improvements in information accuracy are not guaranteed. Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS to simplify the HSN design and promote more efficient information integration. We propose an information theoretical criterion for opportunistic sensing in HSN, and show that HSN with correlated modalities needs less number of codewords than that with independent modalities. Our OS algorithm advances autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We apply our OS algorithm to radar sensor networks for surveillance and monitoring, and show that our approach works very well and much better than other approaches.
The characteristic of college students' employabili ty and its relationship with emotional intelligence

College students' employability is a hotspot problem of educational, social community and managements, and it is very necessary to research the characteristics of university students' employability and its relationship with emotional intelligence this study chose 4 colleges, 900 college students in different grades and different professional as the research object. Analyze the characteristics of college students' employability and its relationship with emotional intelligence by using the method of correlation analysis, regression analysis. In terms of successful employment, the successful employability is increased with the increase of grad. In maintaining employment, seniors maintain employability is significantly higher than freshman. Science and engineering students’ employability is higher than the liberal art and the art students. The correlation of emotional intelligence and employability is significant, and can well predict the employability.
3 Preliminary results 3 . 1 Recall on Poincaré , Poincaré-Wirtinger and Korn inequalities

We consider the elasticity problem in a domain with contact on multiple periodic open cracks. The contact is described by the Signorini and Coulomb-friction conditions. Problem is non-linear, the dissipative functional depends on the un-known solution and the existence of the solution for fixed period of the structure is usually proven by the fix-point argument in the Sobolev spaces with a little higher regularity, H. We rescaled norms, trace, jump and Korn inequalities in fractional Sobolev spaces with positive and negative exponent, using the unfolding technique, introduced by Griso, Cioranescu and Damlamian. Then we proved the existence and uniqieness of the solution for friction and period fixed. Then we proved the continuous dependency of the solution to the problem with Coulomb’s friction on the given friction and then estimated the solution using fixed point theorem. However, we were not able to pass to the strong limit in the frictional dissipative term. For this reason, we regularized the problem by adding a fourth-order term, which increased the regularity of the solution and allowed the passing to the limit. This can be interpreted as micro-polar elasticity.
Antecedents of Space Traveler Behavioral Intention

This study extends the current knowledge of behavioral intention of space travelers based on motivation and risk antecedents of undertaking a space trip. Using cumulative prospect theory, we develop and test research models to investigate sufficient motivation and risk antecedents on behavioral intention, to explore complex combinations of above antecedents (i.e., causal recipes) leading to both high and low scores of behavioral intention, and to identify necessary motivation and risk antecedents to achieve desired behavioral outcome. The results revealed that although motivations appeared as sufficient and necessary antecedents, risk antecedents play a dominant role such that risks can diminish the effects of motivations in shaping desired behavioral intention of space travelers. Theoretical and practical implications are discussed.
H 3 N 2 canine in fl uenza virus with the matrix gene from the pandemic A / H 1 N 1 virus : infection dynamics in dogs and ferrets

H. MOON†, M. HONG†, J. K. KIM†, B. SEON, W. NA, S. J. PARK, D. J. AN, H. Y. JEOUNG, D. J. KIM, J. M. KIM, S. H. KIM, R. J. WEBBY, R. G. WEBSTER, B. K. KANG* AND D. SONG* Research Unit, Green Cross Veterinary Products, Yongin, Gyeonggi, Republic of Korea Viral Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea College of Pharmacy, Korea University, Sejong, Republic of Korea Animal and Plant Quarantine Agency, Anyang, Gyeonggi, Republic of Korea St Jude Children’s Research Hospital, Memphis, TN, USA University of Science and Technology, Daejeon, South Korea
fox Vulpes vulpes in the Shiretoko National Park , eastern Hokkaido , Japan

In order to assess the genetic usefulness of feces that were obtained from field, we conducted genetic identification by microsatellite analysis on fecal samples of the red fox (Vulpes vulpes) collected in the Shiretoko National Park, Hokkaido. Consequently, 59 fecal samples resulted in 22 as the minimum number of individuals. The cumulative P(ID)sibs in the 22 samples was less than 0.01. Two pairs of fecal samples having the identical genotypes (P(ID)sibs < 0.01) were considered to be dropped by the same foxes, and the distribution of these feces was almost overlapped with the home range of one fox, revealed by a previous study. Although few reports had revealed the absolute number of red foxes in field, the present study showed that the genetic analysis of their feces is useful for estimating a presumable number of individuals in the area. However, the lower genotyping success rates (23.3–69.8%) and genotyping reproducibility (53.5–88.4%) indicate the difficulty of genetic analysis by using these fecal samples. In order to improve the efficiency of the analysis, it may be effective to select and use a marker set which has smaller allele sizes, because the genotyping success rates and reproducibility increased when the average allele size decreased.
A pr 2 01 0 Fourier analysis of Fe I lines in the spectra of the Sun ,

We used spectral observations of Fe I line profiles with a 200 000 resolution to determine micro and macroturbulent velocities in the atmospheres of the Sun as a star, α Cen A, Procyon (α CMi), Arcturus (α Boo), and Canopus (α Car). Isotropic microturturbulent velocities (Vmi) and radial-tangential macroturbulent velocities (V RT ma ) were found to be a quite suitable approximation to the velocity field in the atmospheres of all stars studied except Canopus. The average velocities Vmi and V RT ma are 0.8 ± 0.1 and 2.6 ± 0.3 km/s for the Sun as a star, 0.8 ± 0.2 and 2.9 ± 0.4 km/s for α Cen A, 0.8 ± 0.3 and 5.9 ± 0.2 km/s for Procyon, 1.0± 0.2 and 4.6± 0.3 km/s for Arcturus. The velocity field in the atmosphere of Canopus can be described by an anisotropic radial-tangential distribution of microturbulence with V RT mi = 2.1 km/s and anisotropic distribution of macroturbulence with V rad ma = 17±2 km/s and V tan ma = 1.3±1.0 km/s. From Fourier analysis of broadening and shapes of three spectral lines of Fe I, we have derived the rotation velocity Ve sin i = 3.5± 0.2 km/s for Canopus.
Phillips curve shocks and real exchange rate fluctuations: SVAR evidence

Steinsson (2008) shows that real shocks that affect the New Keynesian Phillips curve explain the behavior of the real exchange rate in a sticky-price business cycle model. This paper reveals that these shocks are important for the volatility of the real exchange rate in the data. In a structural VAR analysis, we identify productivity, labor supply, cost-push, government spending, risk premium, and monetary policy shocks using sign restrictions derived from Steinsson's model. We study different methods of variance decomposition. According to the forecast error variance decomposition, the real demand shocks are the most important source of real exchange rate volatility. At business cycle frequencies, however, three supply shocks account for up to 40 percent of real exchange rate fluctuations.