Analysis of Wiener-Hammerstein equalizer for downlink LTE system

We propose a Wiener-Hammerstein (W-H) channel estimation algorithm for Long-Term Evolution (LTE) systems. The LTE standard provides known data as pilot symbols and exploits them through coherent detection to improve system performance. These drivers are placed in a hybrid way to cover up both time and frequency domain. Our aim is to adapt the W-H equalizer (W-H/E) to LTE standard for compensation of both linear and nonlinear effects induced by power amplifiers and multipath channels. We evaluate the performance of the W-H/E for a Downlink LTE system in terms of BLER, EVM and Throughput versus SNR. Afterwards, we compare the results with a traditional Least-Mean Square (LMS) equalizer. It is shown that W-H/E can significantly reduce both linear and nonlinear distortions compared to LMS and improve LTE Downlink system performance.

Physical and chemical kinetics of structural build-up of cement suspensions

Abstract : The structural build-up of fresh cement-based materials has a great impact on their structural performance after casting. Accordingly, the mixture design should be tailored to adapt the kinetics of build-up given the application on hand. The rate of structural build-up of cement-based suspensions at rest is a complex phenomenon affected by both physical and chemical structuration processes. The structuration kinetics are strongly dependent on the mixture’s composition, testing parameters, as well as the shear history. Accurate measurements of build-up rely on the efficiency of the applied pre-shear regime to achieve an initial well-dispersed state as well as the applied stress during the liquid-solid transition. Studying the physical and chemical mechanisms of build-up of cement suspensions at rest can enhance the fundamental understanding of this phenomenon. This can, therefore, allow a better control of the rheological and time-dependent properties of cement-based materials. The research focused on the use of dynamic rheology in investigating the kinetics of structural build-up of fresh cement pastes. The research program was conducted in three different phases. The first phase was devoted to evaluating the dispersing efficiency of various disruptive shear techniques. The investigated shearing profiles included rotational, oscillatory, and combination of both. The initial and final states of suspension’s structure, before and after disruption, were determined by applying a small-amplitude oscillatory shear (SAOS). The difference between the viscoelastic values before and after disruption was used to express the degree of dispersion. An efficient technique to disperse concentrated cement suspensions was developed. The second phase aimed to establish a rheometric approach to dissociate and monitor the individual physical and chemical mechanisms of build-up of cement paste. In this regard, the non-destructive dynamic rheometry was used to investigate the evolutions of both storage modulus and phase angle of inert calcium carbonate and cement suspensions. Two independent build-up indices were proposed. The structural build-up of various cement suspensions made with different cement contents, silica fume replacement percentages, and high-range water reducer dosages was evaluated using the proposed indices. These indices were then compared to the well-known thixotropic index (Athix.). Furthermore, the proposed indices were correlated to the decay in lateral pressure determined for various cement pastes cast in a pressure column. The proposed pre-shearing protocol and build-up indices (phases 1 and 2) were then used to investigate the effect of mixture’s parameters on the kinetics of structural build-up in phase 3. The investigated mixture’s parameters included cement content and fineness, alkali sulfate content, and temperature of cement suspension. Zeta potential, calorimetric, spectrometric measurements were performed to explore the corresponding microstructural changes in cement suspensions, such as inter-particle cohesion, rate of Brownian flocculation, and nucleation rate. A model linking the build-up indices and the microstructural characteristics was developed to predict the build-up behaviour of cement-based suspensions The obtained results showed that oscillatory shear may have a greater effect on dispersing concentrated cement suspension than the rotational shear. Furthermore, the increase in induced shear strain was found to enhance the breakdown of suspension’s structure until a critical point, after which thickening effects dominate. An effective dispersing method is then proposed. This consists of applying a rotational shear around the transitional value between the linear and non-linear variations of the apparent viscosity with shear rate, followed by an oscillatory shear at the crossover shear strain and high angular frequency of 100 rad/s. Investigating the evolutions of viscoelastic properties of inert calcite-based and cement suspensions and allowed establishing two independent build-up indices. The first one (the percolation time) can represent the rest time needed to form the elastic network. On the other hand, the second one (rigidification rate) can describe the increase in stress-bearing capacity of formed network due to cement hydration. In addition, results showed that combining the percolation time and the rigidification rate can provide deeper insight into the structuration process of cement suspensions. Furthermore, these indices were found to be well-correlated to the decay in the lateral pressure of cement suspensions. The variations of proposed build-up indices with mixture’s parameters showed that the percolation time is most likely controlled by the frequency of Brownian collisions, distance between dispersed particles, and intensity of cohesion between cement particles. On the other hand, a higher rigidification rate can be secured by increasing the number of contact points per unit volume of paste, nucleation rate of cement hydrates, and intensity of inter-particle cohesion.

Chemical profile and antifungal potential of essential oils from leaves and flowers of Salvia algeriensis (Desf.): A comparative study

Salvia is a plant genus widely used in folk medicine in the Mediterranean area since antiquity. A large number of Salvia essential oils have been reported against diverse microorganisms. In the current study, chemical composition of essential oils from leaves and flowers of Salvia algeriensis (Desf.) was determined using gas chromatography-electron impact mass spectrometry (GC-EIMS) as well as their antifungal activity against phytopathogenic fungi Alternaria solani and Fusarium oxysporum exploring disk method. The GC-EIMS analysis identified 59 compounds (84.8%) in the essential oil obtained from leaves of S. algeriensis. Its major constituents were benzaldehyde (9.7%), eugenol (8.7%) and phenylethyl alcohol (8.4%). In flowers oil, 34 compounds (92.8%) were detected. The main ones were viridiflorol (71.1%) and globulol (8.6%). The essential oil obtained from leaves exhibited the highest antifungal activity, where the effective dose inhibiting 50% of mycelial fungal (ED50) against A. solani was 0.90 μL mL-1 with minimum inhibitory concentration (MIC) equal to 2 μL mL-1, whereas the ED50 and MIC in F. oxysporum culture was 1.84 μL mL-1 and 3 μL mL-1 respectively. The mycelial inhibition by flowers oil varies from 1.77 μL mL-1 (ED50) with A. solani culture (MIC 6.5 μL mL-1) to the lowest effect recorded (ED50 3.00 μL mL-1 and MIC 9.33 μL mL-1) against F. oxysporum. To our best knowledge, this is the first report on S. algeriensis, their leaves oil can constitute an alternative biocontrol against phytopathogenic fungi commonly controlled by chemical fungicides.

Development, characterization and use of genomic SSR markers for assessment of genetic diversity in some Saudi date palm ( Phoenix dactylifera L.) cultivars

Background: The present study was undertaken towards the development of SSR markers and assessing genetic relationships among 32 date palm ( Phoenix dactylifera L.) representing common cultivars grown in different geographical regions in Saudi Arabia. Results: Ninety-three novel simple sequence repeat markers were developed and screened for their ability to detect polymorphism in date palm. Around 71% of genomic SSRs were dinucleotide, 25% tri, 3% tetra and 1% penta nucleotide motives. Twenty-two primers generated a total of 91 alleles with a mean of 4.14 alleles per locus and 100% polymorphism percentage. A 0.595 average polymorphic information content and 0.662 primer discrimination power values were recorded. The expected and observed heterozygosities were 0.676 and 0.763 respectively. Pair-wise similarity values ranged from 0.06 to 0.89 and the overall cultivars averaged 0.41. The UPGMA cluster analysis recovered by principal coordinate analysis illustrated that cultivars tend to group according to their class of maturity, region of cultivation, and fruit color. Analysis of molecular variations (AMOVA) revealed that genetic variation among and within cultivars were 27% and 73%, respectively according to geographical distribution of cultivars. Conclusions: The developed microsatellite markers are additional values to date palm characterization tools that can be used by researchers in population genetics, cultivar identification as well as genetic resource exploration and management. The tested cultivars exhibited a significant amount of genetic diversity and could be suitable for successful breeding program. Genomic sequences generated from this study are available at the National Center for Biotechnology Information (NCBI), Sequence Read Archive (Accession numbers. LIBGSS_039019).

Le processus décisionnel sous-jacent à la rétroaction corrective des enseignants de français langue seconde à l'oral

L’objectif de cette étude qualitative est de décrire et de comprendre le processus décisionnel sous-jacent à la rétroaction corrective d’un enseignant de langue seconde à l’oral. Pour ce faire, elle décrit les principaux facteurs qui influencent la décision de procéder à une rétroaction corrective ainsi que ceux qui sous-tendent le choix d’une technique de rétroaction particulière. Trois enseignantes de français langue seconde auprès d’un public d’adultes immigrants au Canada ont participé à cette recherche. Des séquences complètes d’enseignement ont été filmées puis présentées aux participantes qui ont commenté leur pratique. L’entretien de verbalisation s’est effectué sous la forme d’un rappel stimulé et d’une entrevue. Cet entretien constitue les données de cette étude. Les résultats ont révélé que la rétroaction corrective ainsi que le choix de la technique employée étaient influencés par des facteurs relatifs à l’erreur, à l’apprenant, au curriculum, à l’enseignant et aux caractéristiques des techniques. Ils ont également révélé que l’apprenant est au cœur du processus décisionnel rétroactif des enseignants de langue seconde. En effet, les participantes ont affirmé vouloir s’adapter à son fonctionnement cognitif, à son état affectif, à son niveau de langue et à la récurrence de ses erreurs. L’objectif de cette étude est d’enrichir le domaine de la formation initiale et continue des enseignants de L2. Pour cela, des implications pédagogiques ont été envisagées et la recommandation a été faite de porter à la connaissance des enseignants de L2 les résultats des recherches sur l’efficacité des techniques de rétroaction corrective, particulièrement celles qui prennent en compte les caractéristiques des apprenants.

Le processus décisionnel sous-jacent à la rétroaction corrective des enseignants de français langue seconde à l'oral

L’objectif de cette étude qualitative est de décrire et de comprendre le processus décisionnel sous-jacent à la rétroaction corrective d’un enseignant de langue seconde à l’oral. Pour ce faire, elle décrit les principaux facteurs qui influencent la décision de procéder à une rétroaction corrective ainsi que ceux qui sous-tendent le choix d’une technique de rétroaction particulière. Trois enseignantes de français langue seconde auprès d’un public d’adultes immigrants au Canada ont participé à cette recherche. Des séquences complètes d’enseignement ont été filmées puis présentées aux participantes qui ont commenté leur pratique. L’entretien de verbalisation s’est effectué sous la forme d’un rappel stimulé et d’une entrevue. Cet entretien constitue les données de cette étude. Les résultats ont révélé que la rétroaction corrective ainsi que le choix de la technique employée étaient influencés par des facteurs relatifs à l’erreur, à l’apprenant, au curriculum, à l’enseignant et aux caractéristiques des techniques. Ils ont également révélé que l’apprenant est au cœur du processus décisionnel rétroactif des enseignants de langue seconde. En effet, les participantes ont affirmé vouloir s’adapter à son fonctionnement cognitif, à son état affectif, à son niveau de langue et à la récurrence de ses erreurs. L’objectif de cette étude est d’enrichir le domaine de la formation initiale et continue des enseignants de L2. Pour cela, des implications pédagogiques ont été envisagées et la recommandation a été faite de porter à la connaissance des enseignants de L2 les résultats des recherches sur l’efficacité des techniques de rétroaction corrective, particulièrement celles qui prennent en compte les caractéristiques des apprenants.

Numerical simulation of fresh SCC flow in wall and beam elements using flow dynamics models

Abstract : Recently, there is a great interest to study the flow characteristics of suspensions in different environmental and industrial applications, such as snow avalanches, debris flows, hydrotransport systems, and material casting processes. Regarding rheological aspects, the majority of these suspensions, such as fresh concrete, behave mostly as non-Newtonian fluids. Concrete is the most widely used construction material in the world. Due to the limitations that exist in terms of workability and formwork filling abilities of normal concrete, a new class of concrete that is able to flow under its own weight, especially through narrow gaps in the congested areas of the formwork was developed. Accordingly, self-consolidating concrete (SCC) is a novel construction material that is gaining market acceptance in various applications. Higher fluidity characteristics of SCC enable it to be used in a number of special applications, such as densely reinforced sections. However, higher flowability of SCC makes it more sensitive to segregation of coarse particles during flow (i.e., dynamic segregation) and thereafter at rest (i.e., static segregation). Dynamic segregation can increase when SCC flows over a long distance or in the presence of obstacles. Therefore, there is always a need to establish a trade-off between the flowability, passing ability, and stability properties of SCC suspensions. This should be taken into consideration to design the casting process and the mixture proportioning of SCC. This is called “workability design” of SCC. An efficient and non-expensive workability design approach consists of the prediction and optimization of the workability of the concrete mixtures for the selected construction processes, such as transportation, pumping, casting, compaction, and finishing. Indeed, the mixture proportioning of SCC should ensure the construction quality demands, such as demanded levels of flowability, passing ability, filling ability, and stability (dynamic and static). This is necessary to develop some theoretical tools to assess under what conditions the construction quality demands are satisfied. Accordingly, this thesis is dedicated to carry out analytical and numerical simulations to predict flow performance of SCC under different casting processes, such as pumping and tremie applications, or casting using buckets. The L-Box and T-Box set-ups can evaluate flow performance properties of SCC (e.g., flowability, passing ability, filling ability, shear-induced and gravitational dynamic segregation) in casting process of wall and beam elements. The specific objective of the study consists of relating numerical results of flow simulation of SCC in L-Box and T-Box test set-ups, reported in this thesis, to the flow performance properties of SCC during casting. Accordingly, the SCC is modeled as a heterogeneous material. Furthermore, an analytical model is proposed to predict flow performance of SCC in L-Box set-up using the Dam Break Theory. On the other hand, results of the numerical simulation of SCC casting in a reinforced beam are verified by experimental free surface profiles. The results of numerical simulations of SCC casting (modeled as a single homogeneous fluid), are used to determine the critical zones corresponding to the higher risks of segregation and blocking. The effects of rheological parameters, density, particle contents, distribution of reinforcing bars, and particle-bar interactions on flow performance of SCC are evaluated using CFD simulations of SCC flow in L-Box and T-box test set-ups (modeled as a heterogeneous material). Two new approaches are proposed to classify the SCC mixtures based on filling ability and performability properties, as a contribution of flowability, passing ability, and dynamic stability of SCC.