Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional Preconditioning and Ectomycorrhizal Formation of Picea mariana (Mill.) B.S.P. Seedlings

Ectomycorrhizal inoculated seedlings may improve forest plantation establishment by enhancing growth and nutrition of newly planted seedlings, but successful nursery colonization of planting stock is often incompatible with conventional fertilization practices because of toxic inhibitive effects. A new cultural technique for seedlings is examined, called "mycorrhizal nutrient loading" that integrates exponential high dose fertilization with ectomycorrhizal association without causing serious inhibition. Containerized black spruce (Pieea mariana (Mill.) B.S.P.) were inoculated at sowing with Hebeloma erustuliniforme or Laeearia bieolor and fertilized with a complete nutrient solution conventionally at 12.5 mg N/plant and exponentially at 12.5,25 or 50 mg N/plant representing conventional, loading and high loading application rates, respectively. At the end of nursery culture, exponential fertilization significantly stimulated ectomycorrhizal fonnation at higher rates (49-85%) than those of conventionally fertilized (22-26%) seedlings. Improved ectomycorrhizal colonization, even at high loading rates, was attributed to low initial nutrient additions and lower electrical conductivity levels maintained in the growing media under exponential fertilization. The gradual increase in nutrient delivery enabled the fungi to develop tolerance to high fertilizer inputs. Nutrient loading significantly increased N (51-135%), P (29-45%), and K (13-47 %) uptake of seedlings, reflecting progressive luxury consumption of nutrients. Mycorrhizal inoculation further elevated loading efficiency by stimulating plant nutrient uptake of N (9-20%), P (7-12%), and K (4-18%), demonstrating accumulation was more efficient with fungal colonization. Vector nutrient diagnosis revealed marked nutrient dilution under conventional fertilization, but induced steady-state nutrition under exponential fertilization that benefited sustained symbiosis. When outplanted on bioassays retrieved from two contrasting boreal forest (Feathennoss and Hardwood-Alnus) sites in northern Ontario, mycorrhizal nutrient-loaded seedlings outperfonned conventional seedlings by enhancing dry matter production (45-92%), and increasing N (80-124%), P (89-129%), and K (72-106%) assimilation. The new growth drew on greater internal nutrient reserves built up by both exponential fertilization and mycorrhizal colonization in the nursery. Results were integrated into conceptual models demonstrating interactions of fundamental processes involved in mycorrhizal nutrient loading of trees and their resource utilization after planting in relation to different nutritional regimes. Given the current concern about adequate forest regeneration in Canada, nutrient loading in combination with mycorrhizal inoculation practices provides a potentially effective tool to improve early plantation establishment on boreal sites.
Giurgiutiu wafer active sensors Predictive modeling of nonlinear wave propagation for structural health monitoring with piezoelectric

This article presents predictive modeling of nonlinear guided wave propagation for structural health monitoring using both finite element method and analytical approach. In our study, the nonlinearity of the guided waves is generated by interaction with a nonlinear breathing crack. Two nonlinear finite element method techniques are used to simulate the breathing crack: (a) element activation/deactivation method and (b) contact analysis. Both techniques are available in ANSYS software package. The solutions obtained by these two finite element method techniques compare quite well. A parametric analytical predictive model is built to simulate guided waves interacting with linear/nonlinear structural damage. This model is coded into MATLAB, and the WaveFormRevealer graphical user interface is developed to obtain fast predictive waveform solutions for arbitrary combinations of sensor, structural properties, and damage. The predictive model is found capable of describing the nonlinear wave propagation phenomenon. This article finishes with summary and conclusions followed by recommendations for further work.
Reaching a Broader Audience : Mário

The paper discusses Mário Henrique Simonsen’s incursions in the International Economic Debate, which started as soon as he left the Brazilian Government in the early 1980s. It is argued that, although he searched for a larger audience for his papers, he focused on the most relevant areas of the Brazilian economic debate of the time, that is, external debt and inflation and its several layers: indexations, inflationary inertia, incomes policy and its social cost. Also, he wanted to influence policy, searching for concrete solutions for these problems both domestically and internationally.
Testing asymmetry in dependence with copula-coskewness D iscussion P aper

A new measure of asymmetry in dependence is proposed which is based on taking the difference between the margin-free coskewness parameters of the underlying copula. The new measure and a related test are applied to both a hydrological and a financial market data sample and we show that both samples exhibit systematic asymmetric dependence.
VORTEX 2 observations and data assimilation experiments of the 18 May 2010 Dumas , Texas supercell

On 18 May 2010, a high-precipitation, weaklytornadic supercell in the Texas Panhandle was intercepted by instruments participating in the second Verification of the Origin of Rotation in Tornadoes Experiment (VORTEX2) (Wurman et al. 2012). A fifteen minute period during the pretornadic phase of the supercell was well-sampled by several mobile Doppler radars including a dual-Doppler deployment by two Ka-band radars operated by Texas Tech University (TTUKa) (Weiss et al. 2009) and the Xband MWR-05XP radar operated by the University of Oklahoma and the Naval Postgraduate School (Bluestein et al. 2010). Analysis of near-surface dualDoppler syntheses with high spatial resolution from the TTUKa radars and volumetric single-Doppler MWR-05XP data with high temporal resolution reveals the development and decay of a low-level mesocyclone coupled with the succession of four internal rear-flank downdraft (RFD) surges over the period of interest (2250 2305 UTC, all times hereafter are given in UTC) (Skinner et al. 2012). While examination of TTUKa and MWR-05XP data reveals the rapid evolution of small-scale features within the Dumas supercell and allows for a qualitative interpretation of the dynamics influencing storm evolution, a four-dimensional representation of the thermodynamic and kinematic properties within the Dumas supercell is required for a quantitative analysis. In an effort to produce a representative four-dimensional analysis of the Dumas supercell, a series of ensemble Kalman filter (EnKF) data assimilation experiments have been produced (Marquis et al. 2012; Tanamachi et al. 2012; Dowell et al. 2012)
INVESTIGATION ON THE TABBED JET MIXING FLOWS BY USING LIF AND PIV

4.1 ABSTRACT An experimental investigation of the vortical and turbulent structure changes in the near field of a jet mixing flow caused by mechanical tabs placed at the exit of a circular nozzle had been conducted. The techniques of Laser Induced Fluorescence (LIF) and Particle Image Velocimetry (PIV) were used to accomplish flow visualization, instantaneous quantitative concentration measurements and velocity field measurements of the jet mixing flow. Compared with a nature jet flow (a circular jet flow without mechanical tabs intrusion), the experimental results showed that, besides the existence of the well known streamwise vortices generated by mechanical tabs, the tabbed jet flow was found to have shorter potential core length, smaller size of the spanwise KelvinHelmholtz vortices, earlier appearance of small scale turbulent structures and bigger turbulent intensity. The bifurcation of the jet flow was also found in the tabbed jet flow due to the intrusion of the mechanical tabs. Based on the LIF and PIV results, two aspects of the mechanism of the jet flow mixing enhancement caused by mechanical tabs were suggested: The frist was that the secondary instability of the jet flow was enlarged by the intrusion of the mechanical tabs. This accelerated the "cut and connect" process of the Kelvin-Helmholtz vortical rings to transfer energy and vorticity from large scale vortices to small scale vortices. The second was that the interaction between the streamwise vortices generated by the mechanical tabs and spanwise Kelvin-Helmholtz vortical rings also enhanced the "energy cascade" process of the turbulence. Both of these resulted in the creation of small scale intense turbulence and enhanced the mixing of the core jet with ambient flow.
Opinion Mining with Semantic Analysis

Abstract Opinion mining is a subtopic of information retrieval with considerable research done. Several methods exist to determine an author’s view on a topic from natural language textual information. These generally employ some form of machine learning approach, and have varying degrees of effectiveness.Opinion mining is a subtopic of information retrieval with considerable research done. Several methods exist to determine an author’s view on a topic from natural language textual information. These generally employ some form of machine learning approach, and have varying degrees of effectiveness. This thesis explores the use of the semantic frame-based analyzer FrameNet in order to improve upon existing methods of sentiment analysis by providing automatically tagged semantic information for use by a sentiment classifying algorithm. This is achieved through the application of semantic information as a feature for a machine learning-based classifier, as well as using semantic analysis in a bootstrapping process to create a sentiment lexicon for use by a classifier. Several different approaches of using FrameNet meta-data features were attempted, with pure FrameNet data achieving an F1-Score of 0.651, as opposed to a simple bag-of-tokens approach which yielded an F1Score of 0.819. Combination approaches of bag-of-tokens and FrameNet improved upon the pure FrameNet score, but did not achieve results better than the bag-of-tokens. The sentiment lexicon approach was found to achieve results of 0.630 F1-Score. From the findings in this study, it would seem that using FrameNet as a tool for opinion mining is not a rewarding avenue of research.
NETWORK LIFETIME MAXIMIZATION BASED ON ENERGY FORECAST AND COMPRESSIVE SENSING WITH INTEGRATED SINK MOBILITY FOR HETEROGENOUS WIRELESS SENSOR NETWORKS

Optimum usage of battery resources and efficient consumption of energy are the primary concerns and design parameters for any WSN. Irregular energy consumption is the major problem in current WSNs. This paper focuses on efficiently using the energy resources and to maximize the network lifetime by the application of compressive sensing and optimum CH selection process coupled with sink mobility model. Compressive sensing allows us to reduce the number of transmissions taken for complete data transfer, while optimum CH election mechanism gives efficient energy consumption at the initial stages of transmissions and data transfer. The residual energy of the network is further optimized by using the sink mobility model, increasing the total lifetime of high energy nodes thereby leading to increased network lifetime. The algorithm was simulated in MATLAB and verified. Keywords—Wireless Sensor Network, Compressive Sensing, Sink Mobility
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

In recent years, deep learning has unlocked unprecedented success in various domains, especially in image, text, and speech processing. These breakthroughs may hold promise for neuroscience and especially for brain-imaging investigators who start to analyze thousands of participants. However, deep learning is only beneficial if the data have nonlinear relationships and if they are exploitable at currently available sample sizes. We systematically profiled the performance of deep models, kernel models, and linear models as a function of sample size on UK Biobank brain images against established machine learning references. On MNIST and Zalando Fashion, prediction accuracy consistently improved when escalating from linear models to shallow-nonlinear models, and further improved when switching to deep-nonlinear models. The more observations were available for model training, the greater the performance gain we saw. In contrast, using structural or functional brain scans, simple linear models performed on par with more complex, highly parameterized models in age/sex prediction across increasing sample sizes. In fact, linear models kept improving as the sample size approached ∼10,000 participants. Our results indicate that the increase in performance of linear models with additional data does not saturate at the limit of current feasibility. Yet, nonlinearities of common brain scans remain largely inaccessible to both kernel and deep learning methods at any examined scale.
EXPERIMENTAL HEMORRHAGIC STROKE: SEARCH FOR A BETTER MODEL

Department of Drug Discovery and Development, Italian Institute of Technology, 16146 Genova, Italy Hemorrhagic stroke is one of the least studied problems in the modern neurology. Development of the treatment leads to examination of the pathophysiology of the process, which mainly can be performed in ani-mal models. Recent years few animal model of the hemorrhagic stroke have been proposed. In this review we discuss the differences and benefits of the existing models in the compliance with the process that take place in human patients with hemorrhagic stroke. KEY WORDS: hemorrhagic stroke, experimental study, biological model, laboratory animal
Regeneration of the pancreatic b cell

Type 1 diabetes is the result of an autoimmune attack against the insulin-producing b cells of the endocrine pancreas. Current treatment for patients with type 1 diabetes typically involves a rigorous and invasive regimen of testing blood glucose levels many times a day along with subcutaneous injections of recombinant DNA–derived insulin. Islet transplantation, even with its substantially improved outcome in recent years, is still not indicated for pediatric patients. However, in light of the fact that some regenerative capabilities of the endocrine pancreas have been documented and recent research has shown that human ES cell lines can be derived in vitro, this review discusses whether it is practical or even possible to combine these lines of research to more effectively treat young diabetic patients. Review
Kualitas pelayanan kesehatan telah menjadi hal penting dalam pandangan masyarakat luas, karena itulah lembaga atau organisasi yang bergerak pada bidang kesehatan perlu memperhatikan kualitas pelayanan kesehatan. Pelayanan tidak hanya sekedar tindakan medis, penyediaan informasi mengenai pun termasuk

Abstrak Rumah sakit Panti Rapih telah memanfaatkan website sebagai salah satu media pengenalan rumah sakit Panti Rapih beserta layanan yang disediakan kepada masyarakat luas. Implementasi yang dilakukan sudah cukup bagus namun masih belum adanya evaluasi dari sisi pasien dan keluarga pasien terhadap informasi pada website tersebut. Penggunaan website perlu juga diikuti dengan evaluasi terhadap informasi berbasi website, dengan model end user computing satisfaction, diharapkan dapat mengevaluasi penilaian pasien dan keluarga pasien terhadap informasi berbasis website di rumah sakit Panti Rapih.
Studying Networked Communication in the Middle East : Social Disrupter and Social Observatory

Digital infrastructure has been rapidly embraced in the Arab Middle East and North Africa in the last decade, opening a unique window for computational social science and network data science scholars. However, there are currently two coexisting social and economic realities in the region, which result in very different usages and dynamics of networked communication: countries with chronic civil unrest in which digital media have largely served as mobilization tools (e.g., Tunisia, Egypt), and relatively stable and wealthy societies that face social change and economic hyper-development (e.g., Qatar, Kuwait). Given such diversity across the region, how and why should social scientists study digital networks in the Middle East? What can digital networks teach us about the social and political aspects of the modern Middle East? In sum, while claims about digital technologies’ impacts across the region have been critiqued for being speculative and overblown, we suggest that digital technologies have instead broadened our ability to understand ongoing transformations among Arab states and societies.
C C ] 2 2 D ec 2 01 7 Fractals for Kernelization Lower Bounds ∗

The composition technique is a popular method for excluding polynomial-size problem kernels for NP-hard parameterized problems. We present a new technique exploiting triangle-based fractal structures for extending the range of applicability of compositions. Our technique makes it possible to prove new no-polynomial-kernel results for a number of problems dealing with length-bounded cuts. In particular, answering an open question of Golovach and Thilikos [Discrete Optim. 2011], we show that, unless NP ⊆ coNP /poly, the NP-hard LengthBounded Edge-Cut (LBEC) problem (delete at most k edges such that the resulting graph has no s-t path of length shorter than l) parameterized by the combination of k and l has no polynomial-size problem kernel. Our framework applies to planar as well as directed variants of the basic problems and also applies to both edge and vertex deletion problems. Along the way, we show that LBEC remains NP-hard on planar graphs, a result which we believe is interesting in its own right.
Bandwidth Adaptive & Error Resilient Regenerating Codes

To be considered for the 2016 IEEE Jack Keil Wolf ISIT Student Paper Award. Regenerating codes are efficient methods for distributed storage in practical networks where node failures are common. They guarantee low cost data reconstruction and repair through accessing only a predefined number of arbitrary chosen storage nodes in the network. In this work we study the fundamental limits of required total repair bandwidth and the storage capacity of these codes under the assumption that i) both data reconstruction and repair are resilient to the presence of a certain number of erroneous nodes in the network and ii) the number of helper nodes in every repair is not fixed, but is a flexible parameter that can be selected during the runtime. We focus on the minimum repair bandwidth point in this work, propose the associated coding scheme to posses both these extra properties, and prove its optimality.
The Metabolism of Starch , Maltose , Glucose and Some Other Sugars by the Rumen Ciliate Entodinium caudatum

Washed suspensions of Entodinium caudatum grown in vitro and incubated anaerobically incorporated 14C from [14C]glucose into the cell pool as [ 1 4 C ] g l ~ ~ ~ ~ e , maltose and hexose phosphate and into protozoal polysaccharide and intracellular bacteria as a glucose polymer. The uptake of sugars into the pool was by an active process (predominant at low sugar concentrations) probably into the protozoal endoplasm, and by a passive process (predominant at high concentrations) into another part of the cell. Uptake of glucose by the active process was not sufficiently rapid to increase the level of glucose in the pool by more than 17% per hour; this was probably insufficient to increase appreciably the rate of glucose utilization. These protozoa hydrolysed starch to maltose and glucose and the level of these sugars in the pool of protozoa metabolizing starch grains was controlled in part by the inhibitory effect of these sugars on the enzymes that formed them. Studies on the enzymes involved in the metabolism of starch showed that the glucose in starch was hydrolysed to free glucose before phosphorylation. In experiments on the effect of carbohydrates on the survival of protozoa, starch was the most effective in prolonging protozoal life, followed by maltose and glucose in that order. The greater effectiveness of maltose was correlated with the finding that the rate of uptake of maltose carbon was always greater than that for glucose when the two sugars were present in equimolar concentrations. However, the rate for both sugars was markedly decreased in the presence of penicillin and neomycin. Evidence is presented that the protozoal ectoplasm may be freely permeable to sugars in the medium and that there is a barrier between the ectoplasm and endoplasm. 14C from r4C]starch grains was incorporated by the protozoa but there was no synthesis of protozoal protein from carbohydrate.
Interpenetration Versus Embeddedness The Premature Dismissal of Talcott Parsons in the New Economic Sociology

The economy and economics are important fields in Talcott Parsons’s work. Parsons’s contributions on this subject were, however, mostly critically received in the new economic sociology. In this article, main points of criticism of Parsons’s economic sociology will be discussed and the question asked whether the importance of Parsons’s works in economic sociology was adequately treated. It will be demonstrated that the critical assessments was based for the most part on theoretical conceptions Parsons developed during his structural-functionalist period. Hence the assessments neglected to discuss the theory of expressive-symbolic communication of affect that Parsons developed in his later systems-functionalist period. However, precisely these later theoretical developments correlate American Journal of Economics and Sociology, Vol. 65, No. 1 ( January 2006). © 2006 AJES, Inc. *Jens Beckert is Professor of Sociology and Director of the Max Planck Institute for the Study of Societies in Cologne. Previously, he was Professor of Sociology at the Georg August University Göttingen and Associate Professor of Sociology at the International University Bremen. He studied sociology and business administration at the Freie Universität Berlin and the New School for Social Research in New York. He received his Ph.D. in sociology from the Freie Universität in 1996 and his Habilitation in 2003. Beckert was a visting fellow at the sociology department of Princeton University in 1994–1995 and at the Center for European Studies of Harvard University in 2001–2002. His book Beyond the Market: The Social Foundations of Economic Efficiency was published by Princeton University Press in 2002. His second monograph, “Unverdientes Vermögen. Soziologie des Erbrechts” (Campus Verlag 2004), will also be published in English by Princeton University Press. Other publications include: “Economic Sociology and Embeddedness: How Shall We Conceptualize Economic Action? ” Journal of Economic Issues 37: 769–787, 2003; “Agency, Entrepreneurs and Institutional Change: The Role of Strategic Choice and Institutionalized Practices in Organizations,” Organization Studies 20: 777–799, 1999; “What Is Sociological about Economic Sociology? Uncertainty and the Embeddedness of Economic Action,” Theory and Society 25: 803–840, 1996. This is the revised version of an article that was originally published in German in the Berliner Journal für Soziologie in 2002. The author thanks Harald Wenzel for his excellent suggestions. directly with the concept of social embeddedness as a key concept in the new economic sociology. A stronger linking with this development in Parsons’s theory could bring economic sociology closer to finding a foundation in action theory, which has been missing up to the present.