Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Metabolo-Proteomic Approach to Decipher the Mechanisms by Which Wheat QTL (Fhb1) Contributes to Resistance against Fusarium graminearum

Background Resistance in plants to pathogen attack can be qualitative or quantitative. For the latter, hundreds of quantitative trait loci (QTLs) have been identified, but the mechanisms of resistance are largely unknown. Integrated non-target metabolomics and proteomics, using high resolution hybrid mass spectrometry, were applied to identify the mechanisms of resistance governed by the fusarium head blight resistance locus, Fhb1, in the near isogenic lines derived from wheat genotype Nyubai. Findings The metabolomic and proteomic profiles were compared between the near isogenic lines (NIL) with resistant and susceptible alleles of Fhb1 upon F. graminearum or mock-inoculation. The resistance-related metabolites and proteins identified were mapped to metabolic pathways. Metabolites of the shunt phenylpropanoid pathway such as hydroxycinnamic acid amides, phenolic glucosides and flavonoids were induced only in the resistant NIL, or induced at higher abundances in resistant than in susceptible NIL, following pathogen inoculation. The identities of these metabolites were confirmed, with fragmentation patterns, using the high resolution LC-LTQ-Orbitrap. Concurrently, the enzymes of phenylpropanoid biosynthesis such as cinnamyl alcohol dehydrogenase, caffeoyl-CoA O-methyltransferase, caffeic acid O-methyltransferase, flavonoid O-methyltransferase, agmatine coumaroyltransferase and peroxidase were also up-regulated. Increased cell wall thickening due to deposition of hydroxycinnamic acid amides and flavonoids was confirmed by histo-chemical localization of the metabolites using confocal microscopy. Conclusion The present study demonstrates that the resistance in Fhb1 derived from the wheat genotype Nyubai is mainly associated with cell wall thickening due to deposition of hydroxycinnamic acid amides, phenolic glucosides and flavonoids, but not with the conversion of deoxynivalenol to less toxic deoxynivalenol 3-O-glucoside.
Impact of Tidal Level Variations on Wave Energy Absorption at Wave Hub

The energy absorption of the wave energy converters (WEC) characterized by a limited stroke length —like the point absorbers developed at Uppsala University—depends on the sea level variation at the deployment site. In coastal areas characterized by high tidal ranges, the daily energy production of the generators is not optimal. The study presented in this paper quantifies the effects of the changing sea level at the Wave Hub test site, located at the south-west coast of England. This area is strongly affected by tides: the tidal height calculated as the difference between the Mean High Water Spring and the Mean Low Water Spring in 2014 was about 6.6 m. The results are obtained from a hydro-mechanic model that analyzes the behaviour of the point absorber at the Wave Hub, taking into account the sea state occurrence scatter diagram and the tidal time series at the site. It turns out that the impact of the tide decreases the energy absorption by 53%. For this reason, the need for a tidal compensation system to be included in the design of the WEC becomes compelling. The economic advantages are evaluated for different scenarios: the economic analysis proposed within the paper allows an educated guess to be made on the profits. The alternative of extending the stroke length of the WEC is investigated, and the gain in energy absorption is estimated.
Subspace-Based Channel Estimation for MIMO-OFDM Systems With Few Received Blocks

We propose a method of obtaining the autocorrelation matrix to improve the performance of the subspace-based channel estimation method. By exploiting the circulant property of the received signal, the proposed method reduces the number of received blocks required to satisfy the persistency of excitation (POE) criterion for the input and decreases the residual error which affects the accuracy of the noise subspace. To verify the proposed method, we derive the analytical method for evaluating the POE criterion for the input. In simulation results, we demonstrate the efficiency of the proposed method.
Extending SSD Lifetimes with Disk-Based Write Caches

We present Griffin, a hybrid storage device that uses a hard disk drive (HDD) as a write cache for a Solid State Device (SSD). Griffin is motivated by two observations: First, HDDs can match the sequential write bandwidth of mid-range SSDs. Second, both server and desktop workloads contain a significant fraction of block overwrites. By maintaining a log-structured HDD cache and migrating cached data periodically, Griffin reduces writes to the SSD while retaining its excellent performance. We evaluate Griffin using a variety of I/O traces from Windows systems and show that it extends SSD lifetime by a factor of two and reduces average I/O latency by 56%.
A Novel Routing Protocol Based on an Energy Model in Ad Hoc Networks

Ad Hoc networks usually consist of mobile battery operated computing devices that communicate over the wireless medium. These devices are battery operated and therefore need to be energy conserving so that the battery life of each individual node can be prolonged. To maximize the lifetime of an ad hoc network, it is essential to prolong each individual node (mobile) life through minimizing the total transmission energy consumption for each communication request. Therefore, an efficient routing protocol must satisfy that the energy consumption rate at each node is evenly distributed and at the same time the total transmission energy for each request is minimized. To devise a routing protocol meeting the above two conflict objectives simultaneously is very difficult due to the NP hardness of the problem. Instead, an approximation solution is desirable and appreciated. At last, we implement the algorithm within AODV routing protocol by NS2, the results of our simulation-based analysis are presented. We conducted a complete set of simulations to compare and contrast the performance of energy consumption and network lifetime metrics. Our analysis provides a comparison of the performances between EA_AODV and AODV protocol.
Who-Does-What: A Knowledge Base of People's Occupations and Job Activities

We present a novel resource called “Who-Does-What” (WDW), which provides a knowledge base of activities for classes of people engaged in a wide range of different occupations. WDW is semi-automatically created by automatically extracting structured job activity descriptions from the Web (we use here the O*Net website). These descriptions are used to populate the taxonomic backbone provided by the manually-created Standard Occupational Classification (SOC) of the US Department of Labor.
Phase stability of CaSiO 3 perovskite at high pressure and temperature : Insights from ab initio molecular dynamics

We report the dynamics of the structure of CaSiO3 perovskite from ab initio molecular dynamics (AIMD) calculations at high pressure (P up to 130 GPa) and high temperature (T up to 5000 K). Our calculations indicate three separate stability fields: orthorhombic, tetragonal and cubic, with the tetragonal phase dominating the pressure and temperature region between room temperature and 4000 K. These regions are defined by the stress symmetry of the AIMD calculation. The boundary between the orthorhombic and the tetragonal structures is found to have a positive Clapyron slope and is close to room temperature at low pressure. The boundary is marked by the transition from stable, constant octahedral tilts, to dynamically varying tilts that change sign with time. The calculated atom positions indicate that the orientation of the octahedra can be noted as a−a−c+ in the orthorhombic phase (T = 150 K). The magnitude of the octahedra rotation varies little over the entire P–T range at high T (1000 K and above) while, at elevated temperature, the rotation angles of the octahedra oscillate positively and negatively with time. The tetragonal structure is probably due to a shortened Si O bond distance along one axis. Calculated X-ray diffraction patterns indicate small super-lattice reflections that could result from the octahedral rotations throughout the P, T region investigated. The small spontaneous strain of the tetragonal phase relative to the aristotype, cubic phase, throughout conditions appropriate to the lower mantle, creates the possibility for seismic energy absorption (low Q) in the deep Earth. © 2006 Elsevier B.V. All rights reserved.
Evaluation of a Goal Setting Intervention with Grade 3-5 Military Dependent Students Targeting Math Proficiency.

Evaluation of a Goal Setting Intervention with Grades 3-5 Military Dependent Students Targeting Math Proficiency by Whitney DeSantis M.A., California State University San Marcos, 2000 B.A., San Diego State University, 1996 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of
Parallel Calculation Sensitivity Function for Multi Tasking Environments

Problem statement: Calculating sensitive functions for a large dimension control system to find the unknowns vectors for a linear system in both single and multi processors, is not considered internally compatible with multi tasking environments, so breaking the process can cost time and memory and it couldn't be paused, resumed and saved as patterns for later continuity. This study is an attempt to solve this problem in parallel to reduce the time factor needed and increase the efficiency by using parallel calculation sensitivity function for multi tasking environments (PSME) algorithm. Approach: calculate in parallel sensitivity function using n-1 processors where n is a number of linear equations which can be represented as TX = W, where T is a matrix of size n1×n2, X = T-1W, is a vector of unknowns and ∂X/∂h = T-1((∂T/∂h)-(∂W/∂h)) is a sensitivity function with respect to variation of system components h. The algorithm (PSME) divides the mathematical input model into two partitions and uses only (n-1) processors to find the vector of unknowns for original system x = (x1,x2,…,xn)T and in parallel using (n-1) processors to find the vector of unknowns for similar system (x’)t = dtT-1 = (x1’,x2’,…xn’)T by using Net-Processors, where d is a constant vector. Finally, sensitivity function (with respect to variation of component ∂X/∂hi = (xi×xi’) can be calculated in parallel by multiplication unknowns Xi×Xi’, where i = 0,1,…n-1. Results: The running time t is reduced to O(t/n-1) and, the performance of (PSME) was increased by 30-40%. Conclusion: Hence, used (PSME) algorithm reduced the time to calculate sensitivity function for a large dimension control system and the performance was increased.
Efficient Algorithms for Discrete Gabor Transforms on a Nonseparable Lattice

The Discrete Gabor Transform (DGT) is the most commonly used transform for signal analysis and synthesis using a linear frequency scale. It turns out that the involved operators are rich in structure if one samples the discrete phase space on a subgroup. Most of the literature focuses on separable subgroups, in this paper we will survey existing methods for a generalization to arbitrary groups, as well as present an improvement on existing methods. Comparisons are made with respect to the computational complexity, and the running time of optimized implementations in the C programming language. The new algorithms have the lowest known computational complexity for nonseparable lattices and the implementations are freely available for download. By summarizing general background information on the state of the art, this article can also be seen as a research survey, sharing with the readers experience in the numerical work in Gabor analysis.
Knowledge representation and the dimensions of a multi-model relationship

The exchange of data between different models in a multi-simulation environment is about the exchange of information from within the context of two separate worldviews. This amounts to knowledge (information in context). To represent this knowledge, in any of a number of different ways (meta-data, ontological reference, frames, etc.) there must be a method to bridge the gap between what the worldview of origination can represent and what the worldview of destination can receive. This requires some understanding of the dimensions of difference between the two worldviews. As each separate model is the product of a different perspective by the model¿s developer, each individual model will have a different worldview. Understanding what these differences are, and viewing them in light of the requirements for conceptual interoperability will contribute a great teal to the knowledge that must be captured for meaningful exchange.
Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces

This paper presents a simulation-based empirical study of the performance profile of random sub sample ensembles with a hybrid mix of base learner composition in high dimensional feature spaces. The performance of hybrid random sub sample ensemble that uses a combination of C4.5, k-nearest neighbor (kNN) and naïve Bayes base learners is assessed through statistical testing in comparison to those of homogeneous random sub sample ensembles that employ only one type of base learner. Simulation study employs five datasets with up to 20K features from the UCI Machine Learning Repository. Random sub sampling without replacement is used to map the original high dimensional feature space of the five datasets to a multiplicity of lower dimensional feature subspaces. The simulation study explores the effect of certain design parameters that include the count of base classifiers and sub sampling rate on the performance of the hybrid random subspace ensemble. The ensemble architecture utilizes the voting combiner in all cases. Simulation results indicate that hybridization of base learners for random sub sample ensemble improves the prediction accuracy rates and projects a more robust performance.
Using Neuro Fuzzy PI techniques in wind turbine control

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.
Server Ranking for Distributed Text Retrieval Systems on the Internet

Keyword-based search services have become necessary tools for nding information resources on the Internet today. The rapid growth of information on the Internet renders centralized keyword index services incapable of collecting comprehensive resource meta-data in a timely manner. We argue that delegating the task of meta-data collection to local index servers is a more scalable approach. We propose a mechanism for integrating distributed autonomous index servers into a cooperative resource discovery system. Focusing on the retrieval eeec-tiveness of the system, we propose a set of methods , called CVV-based methods, for ranking and selecting index servers with respect to a query, and merging the results returned by the index servers. Through experiments, we evaluate the eeectiveness of the CVV-based methods, and compare our server ranking method with methods proposed by other researchers .
International Journal of Physical Sciences Evaluation of Performance of Z-component of Nigerian Seismographic Stations from Spectral Analysis Preliminary Noise Analysis Has Been Carried out on the Z-components of the Nigerian National Network of Seismographic Stations (nnnss) Using Data Collected fr

and Ife) in 2012. The results of the analysis from noise spectra using SEISAN software clearly showed that the noise levels at the respective stations are high and the average noise levels are above the high noise model of Peterson curves. The possible sources of noise are cultural, actual earth vibrations and instrumentation. The study is intended to quantify the amount of noise present in the existing NNNSS and compare with Peterson noise curves, and understand the noise characteristics in order to adopt better practices in the day-today seismic stations' operations in Nigeria.
Viral Pollution in the Environment and in Shellfish: Human Adenovirus Detection by PCR as an Index of Human Viruses

ABSTRACT A study of the presence of human viruses (adenoviruses, enteroviruses, and hepatitis A viruses [HAVs]) in environmental and shellfish samples was carried out by applying DNA and cDNA amplification techniques by PCR. The detection of human adenoviruses by PCR was also examined as a potential molecular test to monitor viral pollution. The samples studied were urban and slaughterhouse sewage, river water, seawater, and shellfish. Enteroviruses were quantified by PFU in Buffalo green monkey kidney cells and fecal coliforms and phages of Bacteroides fragilis HSP40 were also evaluated in some of the samples. The amplification of viral DNA and cDNA has shown a high prevalence of human viruses that would not be detected by the use of classical techniques, such as the quantification of PFU in cell lines. The results of the analysis of slaughterhouse sewage samples together with the test of farm animal feces indicate that the adenoviruses and the HAVs detected in the environment are mostly of human origin. A significative correlation between the detection of human viruses by PCR and the values of bacteriophages of B. fragilis HSP40 in urban raw sewage was observed. Human adenoviruses were the viruses most frequently detected throughout the year, and all the samples that were positive for enteroviruses or HAVs were also positive for human adenoviruses. The results suggest that the detection of adenoviruses by PCR could be used as an index of the presence of human viruses in the environment where a molecular index is acceptable.
Postsecondary Student Mobility from College to University: Academic Performance of Students

Abstract This paper considers the impact of transfer credits on the GPA of college–university transfer students. The data come from the academic records of students enrolled at 2 different campuses at an undergraduate university in Ontario across a 4-year period. The results from multivariate regression analyses show that the number of transfer credits is significantly associated with a higher GPA, controlling for student status (part time/full time), campus of study, cohort, semester of study, and previous college background. Further analysis suggests that the credit–GPA relationship is nonlinear, peaking at 6 transfer credits. These findings can be used to help inform individuals and institutions about the past performance of students as further refinements to transfer policies between institutions are undertaken. Resume Cet article evalue l’effet du transfert de credits sur la moyenne ponderee cumulative (MPC) des etudiants qui transferent des credits du college a l’universite. Les donnees proviennent des dossiers academiques d’etudiants de premier cycle inscrits a deux differents campus d’une universite ontarienne sur une periode de quatre ans. Les resultats d’analyses multivariees regressives montrent que le nombre de credits transferes est lie de facon significative a une MPC plus elevee, ce qui devient une mesure de controle du statut de l’etudiant (temps partiel/temps plein), du campus d’etude, de la cohorte, du semestre d’etude et du college de provenance. Une analyse plus poussee du transfert etudiant college/universite suggere que la relation credit-MPC n’est pas lineaire et qu’un maximum de six credits est transfere. Tandis qu’on raffine les politiques de transferts entre etablissements, il est possible d’utiliser ces resultats pour mieux informer les individus et les etablissements quant a la performance passee des etudiants.
L-asparagine requirement and the effect of L-asparaginase on the normal and leukemic human bone marrow.

The bone marrow of patients with acute lymphocytic leukemia, acute myelogenous leukemia, and metastatic cancer (normal marrow) was evaluated for l-asparagine dependence with the use of the in vitro test of Sobin and Kidd. All of the marrows including the normal ones showed l-asparagine dependence. There was a direct correlation between the concentration of l-asparaginase and depression of cell function as measured by the in vitro test. It was demonstrated that the enzyme itself and not contaminating materials was responsible for this effect. The above results are consistent with the fact that l-asparaginase treatment produces an initial antileukemic effect in the majority of patients with acute leukemia. However, the in vitro test was not useful in predicting remission. Asparagine synthetase activity was determined in normal and acute leukemic marrow. The activity prior to l-asparaginase treatment was invariably low and in approximately one-half of the bone marrows no activity could be demonstrated. Again, there was no correlation between asparagine synthetase activity and the production of remission with l-asparaginase. The major limitation of l-asparaginase treatment in acute leukemia is the rapid development of clinical resistance. In preliminary studies of serial determination of the in vitro test and asparagine synthetase activity of the bone marrow during l-asparaginase treatment, a decreasing l-asparagine requirement and increasing asparagine synthetase activity were observed. The decreasing l-asparagine requirement presumably results from an increase in asparagine synthetase activity. This would explain the rapid development of resistance in acute leukemia and also the lack of functional impairment of the normal bone marrow. The significance of these findings as well as other possible mechanisms of clinical resistance to l-asparaginase are discussed.
On the Base Station Association Problem in HetSNets

The dense deployment of small-cell base stations in HetSNets requires efficient resource allocation techniques. More precisely, the problem of associating users to SBSs must be revised and carefully studied. This problem is NP-hard and requires solving an integer optimization problem. In order to efficiently solve this problem, we model it using non-cooperative game theory. First, we design two non-cooperative games to solve the problem and show the existence of pure Nash equilibria (PNE) in both games. These equilibria are shown to be far from the social optimum. Hence, we propose a better game design in order to approach this optimum. This new game is proved to have no PNE in general. However, simulations show, for Rayleigh fading channels, that a PNE always exists for all instances of the game. In addition, we show that its prices of anarchy and stability are close to one. We propose a best response dynamics (BRD) algorithm that converges to a PNE when it exists. Because of the high information exchange of BRD, a completely distributed algorithm, based on the theory of learning, is proposed. Simulations show that this algorithm has tight-to-optimal performance and further it converges to a PNE (when existing) with high probability.