256 research outputs found
Semi-rigid floor-to-wall connections using side-framed lightweight steel structures : Concept development
No full textAuthor statement Alireza Bagheri Sabbagh: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Writing – original draft, Visualization, Shahabeddin Torabian: Conceptualization, Methodology, Validation, Investigation, Resources, Writing – review & editing, Visualization.Peer reviewe
Linotetranus niknami Bagheri & Haddad, sp. nov.
No full textLinotetranus niknami Bagheri & Haddad sp. nov. (Figs. 1–8) Female (n= 3): Measurements of holotype (paratypes in parantheses): Length of body (including gnathosoma) 390 (397, 420), Length of body (excluding gnathosoma) 315 (335, 352), width 142 (145, 150), length of leg I 165 (165, 180), leg II 112 (120, 120), leg III 97 (97, 97), leg IV 97 (97, 97). Dorsum (Fig. 1). Integument reticulate- areolated, mostly covered by elongate elements, but caudal part smooth; body setae linear and mostly setose; prodorsal setae vi (fig. 2) pinnate; length of setae: prodorsal setae vi 15 (15, 15); ve 50 (50, 56); sci 93 (82, 93); sce 105 (105, 102); opisthosomal setae c 1 33 (39, 36); c 2 90 (102, 99); c 3 95 (93, 94); c 4 103 (104, 104); d 1 56 (57, 51); d 2 99 (93, 93); d 3 106 (102, 105); e 1 16 (15, 15); e 2 54 (63, 66); e 3 99 (105, 111); e 4 68 (66, 75); f 1 20 (15, 21); f 2 33 (30, 31); f 3 153 (170, 170); h 1 99 (93, 87); h 2 211 (201, 207); h 3 86 (81, 84); h 4 78 (72, 75). Venter (fig. 3). The ventral sculpturing consist of elongate ornamentations; intercoxal setae IC 2 about three quarters length of IC 1; IC 3 and IC 4 about equal in length and about half length of IC 1; pregenital shield more or less trapezoidal, with aggenital setae ag 1 on middle part; setae ag 2 situated on integument, laterad of genital aperture; three pairs of genital setae (g 1 - 3) present, g 2 - 3 half length of g 1; three pairs of pseudanal setae (ps 1 -ps 3) present, ps 2 and ps 3 about equal in length and about half length of ps 1. Gnathosoma: Rostrum extending to about proximal half of genu I; palpus (fig. 4) five-segmented, with the following complement of setiform structures: tarsus with 4 eupathidia and 2 setae; tibia with a dorsal claw and 2 setae; genu and femur each with 1 seta, trochanter glabrous. Legs (figs. 5–8). Setae and solenidia (in parantheses) as follows: coxae 2 + supercoxal seta, e – 1 - 1 - 1; trochanters 1 - 1 - 1 -0; femora 5 - 3 - 2 - 1; genua 5 - 2 - 1 -0; tibiae 5 (1)- 4 - 3-4; tarsi 11 (2)- 7 (1)- 4 - 4. Male and immature stages: Unknown. Type materials: Holotype female and one of the paratypes from the soil of wheat fields, 14 June 2002, were collected by the senior author and one paratype female from the soil of alfalfa field, 7 June 2004 was collected by P. Lotfollahi, Marand, East Azarbaijan Province, Iran. The holotype and one paratype will be deposited in British Museum, London, United Kingdom and one paratype in the Acarological Collection, Department of Plant Protection, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. Remarks: This species resembles L. amiculus Meyer & Ueckermann, 1997 in that the dorsal integument pattern is mostly reticulated. However, it differs in that the palpgenu bears 1 seta versus without seta on palpgenu in L. amiculus; tibiae III bears 3 setae versus 4 setae on tibiae III of L. amiculus. Etymology: This species is named in honour of Dr. Golam-Reza Niknam, the former head of Department of Plant Protection, University of Tabriz, for his kind help in supporting this project.Published as part of Bagheri, Mohammad, Irani-Nejad, Karim Haddad, Kamali, Karim, Khanjani, Mohammad, Saboori, Alireza & Lotfollahi, Parisa, 2008, A new species of Linotetranus (Acari: Prostigmata: Linotetranidae) from Iran, pp. 65-68 in Zootaxa 1914 on pages 66-67, DOI: 10.5281/zenodo.18456
Linear stability of a liquid flow through a poroelastic channel
No full textA liquid flow through a channel is studied based on the Orr-Sommerfeld eigenvalue problem, where the lower wall of the channel is occupied by the saturated poroelastic medium. The linear stability analysis is investigated in detail for arbitrary value of the wavenumber. The eigenvalues are computed numerically by using the Chebyshev spectral collocation method. The effect of physical parameters, for instance, permeability, elasticity as well as their combined effect on the unstable modes are examined
Anoplocheylus sinai Bagheri, Zarei, Ahaniazad, Gharekhany & Navaei-Bonab, 2013, sp. nov.
No full text<i>Anoplocheylus sinai</i> sp. nov. Bagheri <p>(Figs. 1–2)</p> <p>Female (n=11). Dimensions of holotype (measurements of paratypes in parentheses): length of body (including gnathosoma) 688 (570–710), length of body (excluding gnathosoma) 500 (470–500); width 275 (200–304), length of leg I 425 (363–408), leg II 275 (230–260), leg III 338 (304–341), leg IV 413 (375–400).</p> <p> <i>Dorsum</i> (Fig. 1 A). Peritremes present in membrane connecting gnathosoma and idiosoma, entirely chambered (approximately 30 chambers in each side); prodorsal shield with a pair of claviform sensillae (<i>sc1</i>) 60 (58–70) long (Fig. 1 C) and 5 pairs of simple setae with posterior pair (<i>sc4</i>) very long 90 (95–110) and whip-like; hysterosoma striate and with 16 pairs of setae (<i>c1-h2</i>); setae <i>d3</i> 114 (110–132) and <i>f1</i> 78 (75–80) very long</p> <p> <i>Venter</i> (Fig. 1 B). With 20 pairs of subequal setae (excluding pseudanal setae); 2 pairs of setae between coxae I, 3 pairs of aggenital setae and 3 pairs of genital setae present; with 2 pairs of pseudanal setae, <i>ps1</i> 35 (34–42) dorsally and <i>ps2</i> 60 (58–72) ventrally.</p> <p> <i>Gnathosoma</i>. Palp (Fig. 1 D) four-segmented; trochanter without setae; femur with 4 simple setae; small genu with 2 setae; tibiotarsus with 1 terminal claw, 2 subapical spurs, 1 falcate seta and 9 simple setae; subcapitulum with 4 pairs of setae, 2 pairs of subcapitular setae and 2 pairs of adoral setae; chelicerae (Fig. 1 A) separate and with 2 setae, proximal setae 45 (42–45) long</p> <p> <i>Legs</i> (Figs. 2 and 1 B). Legs with pretarsus (not shown in 2A) stalked, annulated, bearing a pliable empodium; claws absent; leg femora divided; setal counts of leg segments (solenidia and seta ĸ not included) as follows: Tarsi 21(ω)- 9(ω)-10-10, tibiae 10(φ,ĸ)-5-7-7, genua 7-5-4-4, telofemora 6-4-3-3, basifemora 8-3-3-2, trochanters 1-2-2- 1, coxal fields 4-3-3-2.</p> <p> <b>Etymology.</b> This species is named in honour of Sina Zare, son of the second author.</p> <p> <b>Other stages.</b> Unknown.</p> <p> <b>Type material.</b> Holotype and ten paratype females from soil in apple and blackcherry orchards, Miandoab and Azarshahr, East Azerbaijan province, Iran, 29 September 2010, by Elham Zarei and Mansoureh Ahaniazad. The holotype and one paratype will be deposited in the mite collection of the ARC- Plant Protection Research Institute, Pretoria, South Africa and nine paratypes were deposited in the Collection of the Acarology Laboratory, University of Maragheh, Maragheh, Iran.</p> <p> <b>Remarks.</b> <i>Anoplocheylus sinai</i> <b>sp. nov.</b> closely resembles <i>A</i>. <i>malayeriensis</i> and <i>A</i>. <i>clavatus</i> in having setae (<i>sc1</i>) claviform, five pairs of simple setae on the prodorsal shield, and <i>d3</i> and <i>f1</i> the longest hysterosomal setae. However, it can be easily distinguished from <i>A. clavatus</i> by having claviform sensillae more slender opposed to distinctly broad in <i>A. clavatus</i>. The new species can also be distinguished from <i>A. malayeriensis</i> by: (1) tarsi III and IV with 10 setae vs. 9 setae in <i>A</i>. <i>malayeriensis</i>; (2) tibiae I with 10 (φ,ĸ) vs. 9 (φ,ĸ) in <i>A. malayeriensis</i>; (3) telofemura II with 4 setae vs. 3 setae in <i>A. malayeriensis</i>; and (4) trochanter II with 2 setae vs. 1 setae in <i>A. malayeriensis.</i></p>Published as part of <i>Bagheri, Mohammad, Zarei, Elham, Ahaniazad, Mansoureh, Gharekhany, Gholamhossein & Navaei-Bonab, Reza, 2013, Two new species of the genus Anoplocheylus Berlese, 1910 (Acari: Trombidiformes: Pseudocheylidae) from Iran, pp. 291-297 in Zootaxa 3599 (3)</i> on pages 292-294, DOI: 10.11646/zootaxa.3599.3.6, <a href="http://zenodo.org/record/217493">http://zenodo.org/record/217493</a>
Anoplocheylus kazemii Bagheri, Zarei, Ahaniazad, Gharekhany & Navaei-Bonab, 2013, sp. nov.
No full textAnoplocheylus kazemii sp. nov. Bagheri (Figs. 3–4) Female (n = 2). Dimensions of holotype (measurements of paratype in parentheses): length of body (including gnathosoma) 688 (550), length of body (excluding gnathosoma) 500 (400); width 275 (239). length of leg I 323 (306), leg II 203 (197), leg III 245 (227), leg IV 308 (290). Dorsum (Fig. 3 A). Peritremes present in membrane connecting gnathosoma and idiosoma, entirely chambered (24–26); prodorsal shield with a pair of claviform sensillae (sc 1) 63 (60) long (Fig. 3 C) and 5 pairs of simple setae of which the posterior pair (sc 4) is very long 110 (95) and whip-like; hysterosoma striate and with 17 pairs of setae (c 1 -h 3) of which setae d 3 109 (100) and f 1 62 (60) are very long. Venter (Fig. 3 B). With 20 pairs of subequal setae (excluding pseudanal setae); one pair of setae between coxae I, 3 pairs of aggenital setae and 3 pairs of genital setae present; with 2 pairs of pseudanal setae, ps 1 40 (40) dorsally and ps 2 27 (20) ventrally. Gnathosoma. Palp (Fig. 3 D) four- segmented; trochanter without setae; femur with 4 simple setae; small genu with two setae; tibiotarsus with one terminal claw, two subapical spurs, one falcate seta and nine simple setae; subcapitulum with four pairs of setae, two pairs of subcapitular setae and two pairs of adoral setae; subcapitular setae much longer than adoral setae. Chelicerae (Fig. 3 E) separate and with 2 setae, proximal setae 32 (30) long. Legs (Figs. 4 and 3 B). Legs with pretarsus (not depicted in 4 A) stalked, annulated, bearing a pliable empodium; claws absent; leg femora divided; chaetotaxy of leg segments (solenidia and seta ĸ not included) as follows: tarsi 19 (ω)- 7 (ω)- 9 - 9, tibiae 8 (φ,ĸ)- 5 - 5 - 5, genua 7 - 5 - 4 - 4, telofemora 6 - 3 - 3 - 3, basifemora 6 - 3 - 2 - 2, trochanters 1 - 1-2 - 1, coxal fields 4 - 3 - 3 - 2. Etymology. This species is named in honour of Dr. Sahrouz Kazemi, International Center for Science, High Technology & Environmental Sciences, and friend of the senior author Other stages. Unknown. Type material. Holotype and one paratype female were collected from the soil from apple tree orchards of Miandoab, West Azerbaijan province, Iran; 17 September 2001; by Elham Zarei. The holotype will be deposited in the mite collection of the ARC- Plant Protection Research Institute, Pretoria, South Africa and paratype female was deposited in the Collection of the Acarology Laboratory, University of Maragheh, Maragheh, Iran. Remarks. Anoplocheylus kazemii sp. nov. closely resembles A. malayeriensis and A. sinai sp. nov. in having setae sc 1 (sensillae) claviform, 5 pairs of simple setae on the prodorsal shield, and d 3 and f 1 the longest hysterosomal setae. However, it can be distinguished from both of them by leg chaetotaxy: (1) tarsi I–IV with 19 (ω)- 7 (ω)- 9 - 9 opposed to 21 (ω)- 8 (ω)- 9 - 9 in A. malayeriensis and 21 (ω)- 9 (ω)- 10 - 10 in A. sinai; (2) tibiae I–IV with 8 (φ, ĸ)- 5 - 5 - 5 opposed to 9 (φ, ĸ)- 5 - 5 or 7 - 6 in A. malayeriensis and 10 (φ, ĸ)- 5-7 - 7 in A. sinai; (3) basifemora I-IV with 6 - 3 - 2 - 2 vs. 8 - 3 - 3 - 2 in A. malayeriensis and A. sinai; (4) trochanters I-IV with 1 - 1-2 - 1 vs. 1-2 - 2 - 1 in A. sinai; and (5) the new species has one pair of setae between coxae I opposed to two pairs in A. sinai and A. malayeriensis. Key to species of the genus Anoplocheylus Berlese (after Ueckermann and Khanjani, 2004) 1. With two subapical spurs on palptibia..................................................................... 2 - With one subapical spur on palptibia...................................................... A. europaeus Berlese 2. Prodorsal sensillae (sc 1) simple......................................................................... 8 - Prodorsal sensillae (sc 1) claviform....................................................................... 3 3. Five pairs of setae (sensillae included) present on prodorsal shield............. A. paraclavatus Van Dis and Ueckermann - Six pairs of setae (sensillae included) present on prodorsal shield................................................ 4 4. Pair of simple setae between sensillae as long as sensillae........................... A. bonabjadidiensis Navaei-Bonab - Pair of simple setae between sensillae shorter than sensillae................................................... 5 5. Claviform sensillae distinctly broad................................................. A. clavatus Baker and Atyeo - Claviform sensillae more slender........................................................................ 6 6. With one pair of setae between coxal field I, basifemur I with 6 setae.............................. A. kazemii sp. nov. - With two pairs of setae between coxal field I, basifemur I with 8 setae........................................... 7 7. Trochanter II with two setae, basifemur III with two setae.......................................... A. sinai sp. nov. - Trochanter II with one seta, basifemur III with three setae.................... A. malayeriensis Ueckermann and Khanjani 8. Tarsus III with a solenidion............................................................................. 9 - Tarsus III without solenidion........................................................................... 10 9. Most of the dorsal setae shorter than distance to setae next behind.............. A. brevisetosus Ueckermann and Khanjani - Most of the dorsal setae as long as or longer than distance to setae next behind...... A. tellustrus Van Dis and Ueckermann 10. Long posterior setae (sc 4) on prodorsal shield as long as or slightly shorter than distance to sensillae, hysterosoma with a pair of humeral setae and 4 caudal setae clearly longer than rest of hysterosomal setae......... A. transiens Delfinado and Baker - Long posterior setae (sc 4) on prodorsal shield much longer than distance to sensillae, hysterosoma with an additional pair of long setae dorsomedially on posterior third................................................................. 11 11. Anal setae ps 1 (28–35) much shorter than ps 2 (41–54), coxal field I with 4 setae... A. aegypticus Baker; A. protea (Womersley) - Anal setae subequal; coxal field I with 3 setae.................................... A. tauricus Livshitz and MitrofanovPublished as part of Bagheri, Mohammad, Zarei, Elham, Ahaniazad, Mansoureh, Gharekhany, Gholamhossein & Navaei-Bonab, Reza, 2013, Two new species of the genus Anoplocheylus Berlese, 1910 (Acari: Trombidiformes: Pseudocheylidae) from Iran, pp. 291-297 in Zootaxa 3599 (3) on pages 294-296, DOI: 10.11646/zootaxa.3599.3.6, http://zenodo.org/record/21749
Extracting Information from Voltage-Dip Monitoring
No full textA voltage dip is a short duration reduction in voltage magnitude due to a short duration increase in current magnitude. Causes of dips are, among others, electrical faults, large motor starting, transformer energizing and failure of power-electronic converters. Voltage dips are considered as a very important power quality issue because they lead to trip or malfunction of sensitive loads especially in industrial process installations and subsequently they lead to high costs. In this thesis the overall aim is extracting additional information from large voltage dip monitoring databases. An important step to this end is providing efficient characterization methods for voltage dips. Voltage dip characterization aids by describing voltage dip events (a set of voltage waveforms with high time resolution) as a limited number of values such that this set gives as much as possible information about the dip. This thesis contributes to the voltage dip characterization development through three different methods. The first method consists of a systematic way for comparison different sets of voltage dip characteristic. With this method, both real-measured and synthetic voltage dips are applied to generic models of sensitive loads. The best set of characteristics, for representing the voltage dip, is the one best enables the reproduction of the behaviour of equipment when exposed to real-measured voltage dips. The second method compares 12 different sets of characteristics for describing three-phase single-events.. The method determines the most efficient and feasible way that gives more realistic characteristics as well as comparable with existing standard methods. The proposed set of characteristics has been proposed for inclusion in international standard documents. The third method enables the extraction of dip characteristics based on machine learning approaches. It is applicable for characterization of multi-stage voltage dips in particular and for single-stage (normal) voltage dips as well. The proposed method uses the space-phasor model of three-phase voltages as an input data for k-means clustering algorithm. Then the calculated data are modeled as a general form of an ellipse by exploiting logistic regression algorithm. Finally the optimized obtained ellipse parameters are applied to calculate single-segment characteristics for each individual stage of a multi-stage voltage dip. Further, all proposed methods are implemented in an Matlab environment and validated by applying them to a large number of real-measured voltage dips in actual HV and MV power networks and some suitable synthetic voltage dips
Extracting Information from Voltage-Dip Monitoring [Elektronisk resurs]
No full textA voltage dip is a short duration reduction in voltage magnitude due to a short duration increase in current magnitude. Causes of dips are, among others, electrical faults, large motor starting, transformer energizing and failure of power-electronic converters.Voltage dips are considered as a very important power quality issue because they lead to trip or malfunction of sensitive loads especially in industrial process installations and subsequently they lead to high costs.In this thesis the overall aim is extracting additional information from large voltage dip monitoring databases. An important step to this end is providing efficient characterization methods for voltage dips. Voltage dip characterization aids by describing voltage dip events (a set of voltage waveforms with high time resolution) as a limited number of values such that this set gives as much as possible information about the dip. This thesis contributes to the voltage dip characterization development through three different methods.The first method consists of a systematic way for comparison different sets of voltage dip characteristic. With this method, both real-measured and synthetic voltage dips are applied to generic models of sensitive loads. The best set of characteristics, for representing the voltage dip, is the one best enables the reproduction of the behaviour of equipment when exposed to real-measured voltage dips.The second method compares 12 different sets of characteristics for describing three-phase single-events.. The method determines the most efficient and feasible way that gives more realistic characteristics as well as comparable with existing standard methods. The proposed set of characteristics has been proposed for inclusion in international standard documents.The third method enables the extraction of dip characteristics based on machine learning approaches. It is applicable for characterization of multi-stage voltage dips in particular and for single-stage (normal) voltage dips as well. The proposed method uses the space-phasor model of three-phase voltages as an input data for k-means clustering algorithm. Then the calculated data are modeled as a general form of an ellipse by exploiting logistic regression algorithm. Finally the optimized obtained ellipse parameters are applied to calculate single-segment characteristics for each individual stage of a multi-stage voltage dip.Further, all proposed methods are implemented in an Matlab environment and validated by applying them to a large number of real-measured voltage dips in actual HV and MV power networks and some suitable synthetic voltage dips.</p
Artificial Intelligence-Based Characterization and Classification Methods for Power Quality Data Analytics
No full textOne of the important developments in the electric power system is the fast increasing amount of data. An example of such data is formed by the voltages and currents coming from power-quality measurements. Power quality disturbances like voltage dips, harmonics and voltage transient can have a serious negative impact on the performance of equipment exposed to such disturbances. Voltage dips, short duration reductions in voltage magnitude, are especially considered as important disturbances because they regularly lead to stoppages in industrial process installations and subsequently to high costs. The overall aim of this dissertation is the development of automatic analysis methods and other methods for extracting information from large amounts of power-quality data. This includes, methods to detect and extract event characteristics from recorded data and classify the events, for instance, based on their origins or their impact on equipment. The classification facilitates further analysis steps including reasoning and interpretation. Once the data corresponding to each class is available, a proper characterization method can be used to create more semantic data useful for information extraction. The resulting information can be used to improve the performance of the whole system, e.g., updating grid-codes, or immunity requirements of sensitive installations or processes. This dissertation proposes different methods to fulfil each one of the above-mentioned steps. It proposes particularly a space-phasor model (SPM) of the three phase-to-neutral voltages as basis for analytic methods. The SPM is especially suitable as it is a time-domain transform without loss of any information. Another important contribution of the work is that most of the developed methods have been applied to a large dataset of about 6000 real-world voltage dips measured in existing HV and MV power networks. The main contributions of this dissertation are as follows: A complete framework has been proposed for automatic voltage quality analysis based on the SPM. The SPM has been used before, but this is the first time it has been used in a framework covering a range of voltage quality disturbances. A Gaussian-based anomaly detection method is used to detect and extract voltage quality disturbances. A principal component analysis (PCA) algorithm is used for event characterization. The obtained single-event characteristics are used to extract additional information like origin, fault type and location. Two deep learning-based voltage dip classifier has been developed. In both classifier a 2D convolutional neural network (2D-CNN) architecture has been employed to perform automatic feature extraction task. The soft-max activation function fulfills supervised classification method in first classifier. The second classifier uses a semi-supervised classification method based on generative-discriminative model pairs in active learning context. The same SPM was shown to enable the effective extraction of dip characteristics for multi-stage voltage dips. Applying the k-means clustering algorithm, the event is clustered into its individual stages. For each stage of the dip, a logistic regression algorithm is used to characterize that stage. The proposed method offers a new solution to the problem with transition segments that is one of the main challenges of existing methods for characterization of multi-stage dips. It is also shown in the dissertation that the SPM is an effective method for voltage transient analysis. It is possible to extract corresponding sample data and get appropriate single-event characteristics. A systematic way has been developed and applied for comparing different sets of voltage dip characteristics. With this method, both measured and synthetic voltage dips are applied to generic models of sensitive loads. The best set of characteristics is the one most accurately reproducing the behavior of equipment when exposed to measured voltage dips. The dissertation further contains a number of practical applications of the before-mentioned theoretical contributions: a proposal to an international standard-setting group; energy storage for voltage-dip ride-through of microgrids; impact of different voltage dips on wind-power installations
Space Phasor Model Based Monitoring of Voltages in Three Phase Systems
No full textThis paper proposes a method for monitoring of voltages in three-phase systems using parameters of the ellipse, correspondent to the space phasor model of three-phase voltages. Three main parameters, semi-minor axis, semi-major axis and rotating angle of the ellipse are calculated as single-cycle characteristics. Once these characteristics exceed predefined threshold values, different voltage events are detected. Given whole event data the parameters of the corresponding ellipse are calculated as ‘single-event characteristics’. The proposed method is applied to different measured voltage waveforms. The simulation results confirm that the ellipse parameters are a good basis for both detecting and characterizing voltage events
Dataset of differentially expressed genes from SOX9 over-expressing NT2/D1 cells
No full textAbstractThe data presents the genes that are differentially up-regulated or down-regulated in response to SOX9 in a human Sertoli-like cell line, NT2/D1. The dataset includes genes that may be implicated in gonad development and are further explored in our associated article, “SOX9 Regulates Expression of the Male Fertility Gene Ets Variant Factor 5 (ETV5) during Mammalian Sex Development” (D. lankarage, R. Lavery, T. Svingen, S. Kelly, L.M. Ludbrook, S. Bagheri-Fam, et al., 2016) [1]. The necessity of SOX9 for male sex development is evident in instances where SOX9 is lost, as in 46, XY DSD where patients are sex reversed or in mouse knock-out models, where mice lacking Sox9 are sex reversed. Despite the crucial nature of this transcriptional activator, downstream target genes of SOX9 remain largely undiscovered. Here, we have utilized NT2/D1 cells to transiently over-express SOX9 and performed microarray analysis of the RNA. Microarray data are available in the ArrayExpress database (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-3378
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