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Engineering brain pastime patterns with the aid of neuromodulator polytherapy for medicine of issues | TMPTE Dumps and Real test Questions with VCE Practice Test

Fish upkeep

All strategies on are living animals were accredited by the Massachusetts Institute of know-how Committee on Animal Care. The scn1labs552 line (also called double indemnity or didy) has been described previously16 and became crossed onto a line expressing the genetically encoded calcium indicator GCaMP5G39 under the handle of the pan-neuronal elavl3/HuC promoter [Tg(HuC:GCaMP5G); a generous gift of A Schier, Harvard, Cambridge, MA]. Homozygous mutant scn1labs552 larvae and age-matched sibling controls expressing the GCaMP5G reporter have been acquired through crossing Tg(HuC:GCaMP5+/+; scn1lab+/−) adults. grownup fish were maintained beneath normal laboratory circumstances and larvae had been staged as described67. Fertilized eggs have been generated with the aid of crossing heterozygous adults and raised on a 12 h gentle/12 h darkish cycle at 28 °C in E3 medium (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2, 0.33 mM MgSO4, pH 7.2). 0.2 mM 1-Phenyl-2-thiourea (PTU) become added to the embryo medium to inhibit melanogenesis68 and permit optical imaging of the mind for gentle-sheet experiments.

For LFP and behavioral experiments, homozygous mutant scn1lab larvae have been recognized in keeping with the presence of dispersed melanosomes69. as a result of PTU prevents the use of the pigmentation phenotype to establish homozygous mutants, all larvae used in light-sheet imaging experiments have been genotyped put up-imaging using the Derived Cleaved Amplified Polymorphic Sequences (dCAPS) components to discover the scn1labs552 mutation70. PCR circumstances consisted of 37 cycles of ninety five °C for 20 s, 60 °C for 20 s, and sixty eight °C for 30 s. right here PCR primers had been used for the dCAPS assay, ensuing within the introduction of an BamHI-delicate limit web page within the mutant but no longer the wild-classification scn1lab allele.

forward: TGCTCAGGCTGTGTGATGAGG

Reverse: TCACCAGTGCTCCGCTGCTGAGTAGGATC

dual-layer agarose embedding

to securely immobilize and exactly place non-anesthetized non-paralyzed zebrafish larvae for prolonged gentle-sheet imaging classes, they devised a procedure in which larvae can also be embedded in a cylinder of 1.3% ultra-low gelling temperature agarose (which solidifies at 25 °C; A2576, Sigma) surrounded by shell of 2% low gelling temperature agarose (which solidifies at fifty five °C; A0701, Sigma). The extremely-low gelling temperature core allows larvae to be safely introduced to the agarose while in a liquid state without being exposed to excessive temperatures. The greater rigid low gelling temperature agar shell strengthens and supports the inner core, permitting it to be inserted into the glass capillary and guaranteeing that the larvae are totally immobilized. Embedding is accomplished through first transferring larvae into a solution of liquid 1.3% extremely-low gelling temperature agarose, which is then poured right into a 20 mL syringe. The 20 mL syringe is then inserted right into a 60 mL syringe stuffed with 2 % low gelling temperature agarose. The 20 mL syringe is capped with an 18-gauge stainless-steel needle and the 60 mL syringe is capped with a 16-gauge stainless-steel needle. They then concurrently extrude each agarose solutions into a room temperature bath containing E3 medium, allowing the agar to rapidly solidify.

excessive-throughput gentle-sheet microscopy screening platform

The illumination and detection palms of their platform construct on outdated designs for laser-scanning mild-sheet microscopes30. They use a 488 nm a hundred mW low-noise collimated diode laser (LLD-0488, Laserglow technologies, Toronto, Canada) with tunable vigour deliver to generate the excitation laser beam. The light sheet is created with the aid of a 2nd galvanometer-primarily based scanner (6210H, Cambridge expertise, Cambridge, MA) and a tube lens (ITL200, Nikon, Tokyo, Japan). A ×4/0.1 NA goal lens (Nikon, Tokyo, Japan) is used to light up the trial with the gentle sheet. A 2nd ×4/0.1 NA lens is used to direct the seizure-inducing light pulses, which are generated the usage of a Quartz Tungsten-Halogen lamp (QTH10/M, Thorlabs, Newton, NJ) gated via a stepper-motor pushed shutter and microprocessor-primarily based controller (SmartShutter and Lambda SC controller, Sutter Instrument company, Novato, CA). Emitted light is detected with a ×16/0.8 NA water immersion objective (Nikon) mounted on a piezo-pushed nanofocusing equipment (P-725 PIFOC, Physik Instrumente, Auburn, MA) followed with the aid of 525/50m emission filter (Chroma technology, Bellows Falls, VT) and a tube lens (ITL200, Nikon). photos are captured on a sCMOS camera (ORCA-Flash4.0 V2, Hamamatsu Photonics, Hamamatsu, Japan). For useful connectivity analysis, images are captured with 4 × 4 binning at 50 frames per second with a 2 ms publicity time. The structural images used for registration to the anatomical atlas are captured at a higher resolution with 2 × 2 binning and a 20 ms publicity time. The digital camera is controlled through a customized-made program that uses the Hamamatsu plugin for LabVIEW (national instruments, Austin, TX).

To facilitate the gentle-sheet-primarily based screening of compound libraries, they developed peripheral fluidics that allow zebrafish larvae beneath assorted medication conditions to be time and again imaged with a near-continuous workflow (Supplementary Fig. 1). Their setup carries an array of incubation chambers, that are fabricated through eliminating the filters from dimension exclusion spin columns (#7326227, Bio-Rad, Hercules, CA). Chambers are originally filled with 500 μL of E3 medium and used to cling larvae that have been embedded in twin-layer agarose cylinders as described in the outdated area. Incubation reservoirs are held in an array of holes drilled into a 5 mm thick plexiglass holder (McMaster-Carr, Elmhurst, IL, u . s .). Separate peristaltic tubing traces (1.forty seven I.D. HelixMark silicon tubing, catalog #60–011–06, VWR, Radnor, PA) gated by pinch valves (B4M, Hach, Loveland, CO) are connected to openings at the suitable and backside of each and every incubation chamber. The upper tubing components air at 5 PSI when the incubation chambers are drained. All strains from the bottom openings of the incubation chambers are related to a grasp peristaltic tube line (1.ninety eight I.D. HelixMark silicon tubing, catalog #60–011–09, VWR), which in flip is related to an automated 10 mL syringe pump (Cavro 20738449; Tecan, Männedorf, Switzerland) with E3 medium at one end and a thin-wall fused silica glass capillary (Index of reflection of 1.458, 1 mm I.D., 10-SG-1, Charles Supper business, Natick, MA) at the other conclusion. This glass capillary serves because the imaging chamber and runs through the middle of a 1 × 1 × 1 inch3 customized fabricated aluminum chamber (RM1G, Thorlabs). Mounting holes for the capillary are equipped with a pair of quarter-inch bearing balls (01376748, MSC Industrial supply, Melville, the big apple) with the intention to create a water-tight seal around the capillary and allow the aluminum chamber to be filled with water for the water immersion objective. A stepper motor (Nema 17 excessive Torque Stepper Motor) is used to rotate the capillary and control the angular position of the larva within the imaging chamber. The end of the capillary contrary that which the larva enters is connected to peristaltic tubing (1.47 I.D. HelixMark silicon tubing, catalog #60–011–06, VWR), which carries a pinch valve to adjust flow (B4M, Hach) and attaches to a 3-approach syringe pump (Cavro 20738449; Tecan). The three-manner pump in flip is connected to (1) the vacuum that collects the extra liquid used to wash the imaging chamber after each imaging cycle and (2) a 10 mL syringe it's used to handle the lateral position of larva in the imaging chamber.

To load larvae from one of the vital incubation reservoirs into the imaging chamber, the glass capillary is first flushed to eradicate any residual liquid from the previous imaging step. here's performed by way of opening pinch valves A1 and B1 and transferring 1 mL of E3 medium from syringe pump A into syringe pump B. each pinch valves are then closed and the E3 medium is expelled from syringe pump B into a vacuum flask. To load larvae from the n-th incubation reservoir within the array, they open pinch valves Vn, A2, and B1. Syringe pump B then drains liquid from the n-th reservoir until the primary larva is in the imaging chamber. When the larva is within the place, pinch valves Vn, A2, and B1 are closed. After the imaging session is completed, all three valves are opened and proceed draining the reservoir unless the next larva enters the imaging chamber. This method is repeated except all larvae contained within the n-th incubation reservoir had been imaged, at which element pinch valves are opened and the larvae are transferred returned into the incubation reservoir the usage of syringe pump B.

After completion of the preliminary pre-drug-exposure imaging session, 500 μL of the verify compound (2x working inventory prepared in E3 medium; 2 % DMSO) is added to the incubation reservoir. This brings the entire reservoir extent to 1 mL, ensuing within the indicated screening concentrations (Supplementary table 1) and a closing DMSO awareness of 1 %. At 4+ h put up-publicity, all larvae in the incubation reservoir are as soon as again loaded into the imaging chamber for a second imaging session following the equal manner as earlier than. once the 2d imaging session is comprehensive, larvae are accrued for PCR genotyping.

picture processing and cluster evaluation

We created a customized 3D anatomical mind atlas in line with excessive-decision (1024 × 1024 pixel) structural photographs acquired from GCaMP5-expressing zebrafish larvae at 5 dpf. Structural photographs have been got from 20 slices in steps of 20 μm alongside the z-axis (i.e. the dorsal–ventral axis of the larva) over the path of a ~4 min recording. guide segmentation became carried out in response to anatomical landmarks with the aid of the Atlas of Early Zebrafish brain Development71 and the Z-brain Atlas72. Segmentations were carried out using ZBrainViewer72.

To facilitate registration of GCaMP5 recordings to their 3D reference atlas, they first acquire a excessive-resolution structural reference photo of each brain prior to practical activity imaging. Reference photos are generated by means of calculating the average of the voxel baseline over a 200-s interval at the start of each and every image acquisition. As with structural photographs used for the brain atlas, these reference photos are got at 1024 × 1024 pixels (1100 μm × 1100 μm container of view) from 25 slices in steps of 20 μm alongside the z-axis. The brain is extracted from the historical past in every photograph with the FSL mind Extraction Tool73 the use of a threshold on the depth level. The beginning of the stack is selected instantly the usage of automatic landmark detection to determine the dorsal surface of the optical tectum. The high-decision reference photo is then downsampled and resliced to 256 × 256 pixels. This volumetric 3D reference image is subsequent aligned to the corresponding airplane within the structural photos from the atlas by means of inflexible transformation the usage of the computerized quantity-primarily based advanced Normalization tools (ANTs) software package74 in Matlab (Mathworks, Natick, MA) to reap a rough alignment. The inflexible transformation is then utilized to the customary high-decision reference graphic. in the 2d step, the high-resolution reference picture is registered to the atlas structural photo the usage of affine transformation. They then examine the accuracy of their segmentation algorithm to that of guide segmentation (Supplementary desk 5). Their outcomes shows their algorithm is highly correct for clustering fingerprints (Supplementary Fig. 11). To show the segmentation is sufficiently correct, they calculated the clusters after randomly enhancing the segmentation such that the brand new segmentation has best ninety five% overlap with the common segmentation after which they measured the space between the normal C1, C2 (Supplementary Fig. 11a) and C3 (Supplementary Fig. 11b) clusters from Fig. 2c. Their consequences display even 10% error within the segmentation doesn't significantly trade the clusters.

After the acquisition of the high-resolution structural photographs, they perform high-velocity purposeful recordings using decreased resolution 512 × 512 pixel pictures from 10 slices in steps of forty μm alongside the z-axis, leading to a brain-large imaging price of 20 Hz. in line with their depth of field (9.5 μm per slice) and the distance between planes, they cover a complete scanning range of ~one hundred twenty μm alongside the z-axis (i.e. the dorsal–ventral axis). with a view to verify functional connectivity between mind areas, they start with the aid of first selecting all voxels that reveal time-various pastime all the way through the pre-stimulus state. For each voxel, they define the time-averaged sign as:

$$\sqrt \frac\sum \left( \mathbff - \mathbff_0 \appropriate)^2 T - 1$$

(1)

where f is the vector of depth of the voxel time, T is the variety of samples over time, and f0 is the commonplace of f over time. considering that a single neuron may be coated by using assorted voxels, they combine indicators from highly time-correlated adjacent voxels the use of k-ability clustering where the variety of voxels will depend on okay-fold go-validation43, leading to a listing of all spatially distinct supervoxels. They then find the correlation coefficient between energetic supervoxels for all pairs of areas all the way through each and every of the three behavioral states. A voxel is regarded non-time-varying if its time-averaged sign is ≥1 general deviation under the mean time-averaged sign of all voxels within the identical slice. since a single neuron may be lined by way of multiple voxels, they mix signals from particularly time-correlated adjacent voxels using k-capability clustering the place the number of voxels is dependent upon okay-fold cross-validation43, leading to a listing of spatially distinctive supervoxels with co-various exercise. They then establish lively supervoxels that reveal a big change in GCaMP5 fluorescence (ΔF/F). the threshold level for active supervoxel detection in each and every slice is decided the use of an open source calcium imaging processing toolbox for the analysis of neuronal inhabitants dynamics75 by using fitting a Gaussian procedure to each supervoxel resting-state time collection. Detected supervoxels have a typical diameter of seven.1 ± 3.2 μm (suggest ± SD), in keeping with the measurement of particular person mobilephone their bodies. On ordinary, they detect 14,950 ± 583 (mean ± SD) total supervoxels per mind (n = 50 GCaMP recordings from independent larvae) of which ~10 % are special as lively supervoxels. Zebrafish larvae are estimated to have on the order of 105 neurons76. Assuming that each and every supervoxel corresponds to someone neuron, they are able to detect ~15% of all neurons, in line with the fraction of mind it's lined in accordance with their imaging parameters (~9.5 μm thick slices received in steps of forty μm).

functional signals are extracted from the volumetric facts in response to the relative change in GCaMP5 fluorescence (ΔF/F). The baseline for every supervoxel (F) is measured by averaging intensity over a 20-s sliding window. They subsequent divide each and every useful recording into right here three undertaking states: (1) Pre-stimulus (an preliminary 10-min resting state recording within the absence of mild stimuli), (2) Early publish-stimulus (10–60 s after presentation of seizure-inducing mild stimuli; the first 10 s after stimuli is removed from analysis to increase the stationarity of signal), and (three) Late put up-stimulus (60–120 s after presentation). They then examine the imply absolute correlation coefficient, for each and every pair of mind areas (e.g. enviornment A and area B) all through each and every of the three endeavor states as follows. They calculate the mean absolute Pearson’s correlation30 over the entire pairs of voxels from area A and B (A vs B correlation).

right here, they show that the correlation evaluation of lively supervoxel pairs outperforms an easier world pooling. First, they calculated the correlation coefficients of world pooling as recommended and then used the outcomes for compound clustering. To evaluate the fine of clusters, they measured two metrics: the distance between wild category cluster and mutant cluster (BCD, the higher the greater), and the distance within the wild classification cluster (WCD, the smaller the stronger). Their results display that each metrics deteriorate after they use international pooling as an alternative of voxel correlation: BCD decreases by means of ~56% (from 1.62 to 0.ninety one) and WCD raises by way of ~a hundred and ten% (0.38–0.eighty). in addition, they show that BCD/WCD ratio decreases if better voxels had been used (Supplementary Fig. 13).

in order to verify that they are analyzing adequate numbers of neurons per brain enviornment, they tested the stability of purposeful connectivity metrics. First, they calculate the correlation coefficient below resting circumstances (i.e. the ten min in advance of the presentation of seizure-inducing mild stimuli) between a pair of brain areas over all energetic supervoxels. Then, they randomly neighborhood the supervoxels in each and every mind area into two subgroups and recalculate the inter-area correlation coefficients for every subgroup and calculate the difference in correlation. This method is repeated 50 times for each pair of mind areas. They then check if there is a major change between the correlation coefficient community variations. The median of the p-values for all 55 mind area pairs in 10 scn1lab mutants point out no huge differences in correlation coefficient throughout distinctive subgroups of supervoxels (p < 0.05; n = 10).

to be able to check that their time collection connectivity facts are stationary, they analyzed GCaMP recordings from 10 scn1lab mutants and 10 wild-varieties throughout the pre-stimulus resting state (i.e. the ten min earlier than the presentation of seizure-inducing easy stimuli) using the Priestley-Subba Rao test77. The evaluation is carried out the usage of an open source stationarity R equipment (https://rdrr.io/github/gnardin/stationarity/src/R/priestley.subba.rao.look at various.R). Statistical assessments for non-stationarity require defining a check statistic and an appropriate framework for generating null statistics. Null hypothesis checking out is then performed with the aid of evaluating examine data from genuine data in opposition t these from null facts. For each brain area pair, they use assorted 5-min blocks assembled randomly from 30-s windows to investigate the 2nd order stationary of the correlation coefficient. They test the weak-sense stationarity hypothesis of correlation (i.e. that its first and 2nd order ensemble statistics are constant in time)78 by way of making a choice on the variance (κ) of the sliding window correlation (SWC):

$$\kappa = \frac1T - 1\mathop \sum \limits_t = 1^T [\mathbfSWC\left( t \right) - \mu ]^2$$

(2)

the place the correlation between two areas is calculated over 30 s home windows, SWC(t) is the SWC at time t, and μ is the suggest of the SWC time sequence. higher κ values relative to the null distribution indicate non-stationarity (i.e. dynamic connectivity). They generate null records by using becoming a second order autoregressive randomization (ARR) method to the SWC time collection. facts from the fashioned time series are then tested towards the ARR null statistics. in this check, the null hypothesis corresponds to dynamic connectivity. for this reason, If the two datasets aren't significantly distinct (p < 0.05) the null speculation is rejected and the usual facts are assumed to be stationary. For all 20 larvae analyzed, the median p-value of the 2nd order stationarity verify for the 55 enviornment pairs become <0.05. On typical, time series connectivity data from ~fifty one of fifty five (93%) mind enviornment pairs per larva have been discovered to be stationary (p < 0.05; unpaired student's t-look at various) (Supplementary table 4).

Hierarchical cluster evaluation of purposeful connectivity fingerprints is performed the usage of Scikit-learn (http://scikit-study.org/stable).

Behavioral analysis

Locomotor undertaking is recorded using a custom-built video tracking gadget including a monochrome CCD digicam (Prosilica GX1050; Allied imaginative and prescient, Exton, PA) equipped with an in depth-focusing macro video lens (Zoom 7000 lens equipment, Navitar, Rochester, big apple), a near IR longpass filter (LP800–fifty two, MidOpt, Palatine, IL), and an IR, white mild LED illuminator (BX 06 06 WHI/IR, advance illumination, Rochester, VT). The gadget is surrounded by means of a custom-made gentle-tight optical desk enclosure and established on an optical breadboard base. The IR/LED illumination is managed by an Arduino Mega 2560 microcontroller board (digital output latitude from 0.0 to five.0 volts; Adafruit Industries, new york, the big apple).

At 5 dpf, homozygous mutant larvae are separated from age-matched sibling controls in line with pigmentation69. Single larvae are allotted into particular person wells of flat-bottomed ninety six-smartly microplates (MultiScreen ninety six-neatly Transport Receiver Plate, Millipore, Billerica, MA) in a volume of one hundred μL of E3 medium per well and the microplates are positioned interior the imaging chamber. 2x working shares of each and every compound are prepared in E3 medium and the DMSO awareness is adjusted to 2%. a hundred μL of the 2x working stock is added to each and every smartly (n = 10 larvae per experimental condition), ensuing within the indicated screening concentrations and a final DMSO attention of 1%. four hours after compound addition, a 30 min locomotor undertaking recording is bought.

The positions of all larvae are immediately detected in each body the usage of a custom MATLAB monitoring algorithm that they developed previously33. in short, the algorithm generates a binary picture of all larvae and performs a skeletonization step. The tip of the pinnacle and the tip of the tail are automatically recognized and five equally spaced vertex points are positioned along the detected centerline of each and every larva. These 5 points are used to calculate six distinctive behavioral features. the two anterior-most features are used to define the body centerline and calculate swimming velocity metrics while the three posterior-most points are used to define the tail centerline and calculate tail-certain metrics. The mean forward swimming velocity (FVmean; pixels s−1) is calculated in line with the gap traveled by using the larva parallel to the body centerline. The mean angular swimming pace (AVmean; pixel s−1) and the general deviation (SD) of the angular swimming velocity (AVSTD; pixels s−1) are calculated in keeping with the space traveled by using the larva perpendicular to the physique centerline. They set a excessive velocity swimming threshold (values greater than FVmean + FVSTD) and use this threshold to calculate the percent of time spent at excessive swimming pace (HV%). The tail angle is calculated for every tail vertex factor and the absolute values of all features are summed together. These values are used to calculate the suggest tail bending perspective (TBmean; degrees). imply change in tail attitude (dTBmean; levels s−1) is according to the sum of trade in tail attitude for each tail vertex element. For each behavioral function, they calculate the mean of all 10 larvae and normalize this value to the untreated (1% DMSO) mutant neighborhood (see Supplementary table three, Behavioral Metrics columns).

as a way to calculate a mixed behavioral score, they first verify how a whole lot each and every behavioral feature diverges from its mean baseline value within the untreated mutant group (see Supplementary desk three, Divergence from Baseline columns). They then define the mixed behavioral score (xcombined) because the rectangular root of the arithmetic suggest of the squares of every of the six divergence values.

The combined behavioral ranking represents the foundation mean rectangular of the divergences and for this reason serves as a measure of the magnitude of behavioral alterations which are prompted by way of a given compound or duotherapy combination relative to baseline habits in untreated larvae (see Supplementary table 3, facet impact column). The standard deviation of the combined behavioral rating is received by using first calculating the divergence of each behavioral feature for every of the 10 individual larvae in the situation of hobby. A combined behavioral rating is calculated for every individual larva and the standard deviation of all 10 particular person scores is determined.

LFP recording and evaluation

At 5 dpf, larvae are embedded in extremely-low gelling temperature agarose. at the least five larvae are recorded for each experimental situation. individual larvae are positioned in a recording chamber with 50 mL of E3 solution and a 45 min pre-exposure LFP recording is acquired. After the baseline recording is comprehensive, 50 mL of a 2x working stock of the verify compound(s) is introduced to the recording chamber. Following compound administration, a second LFP recording is made 4+ h submit-publicity. Recording electrodes are made by way of pulling a 1 mm outer diameter capillary (BF100–78–10, Sutter Instrument company, Novato, CA), which is filled with 1M chloride solution. A Ag/Cl wire (64–1320, Harvard apparatus, Holliston, MA) is then placed inside the electrode, the electrode is related to a preamplifier (RHD2216, Intan applied sciences, la, CA), and the preamplifier is related to a low-power digital acquisition chip (RHD2000, Intan applied sciences). The sign from acquisition board is recorded using Intan MATLAB GUI utility (MATLAB 13, Mathworks, Natick, MA). The facts are then analyzed the use of an automated seizure detection algorithm initially developed to investigate EEG signals46, which they now have tailored to zebrafish LFP recordings. The algorithm makes use of higher order statistical moments as facets to categorise electrophysiological alerts into seizure and non-seizure classes. larger order moments are extracted from intrinsic mode features, that are bought by way of adaptively decomposing the signal using the empirical mode decomposition (EMD) formula. The computerized seizure detection algorithm is expert to identify seizures the use of LFP recordings from scn1lab mutants uncovered to mild stimuli as a practising dataset. They then use the algorithm to measure spontaneous seizure frequency in compound-treated scn1lab mutants. Baseline seizure frequency is determined for each larva in keeping with the pre-publicity LFP recording. The publish-publicity frequency is then normalized to the baseline frequency and an efficacy score is calculated (untreated mutants = 0; seizure-free larvae = 1.00; Supplementary table three).

Reporting summary

extra tips on analysis design is obtainable in the Nature research Reporting abstract linked to this text.


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List of Certification test Dumps

3COM [8 Certification Exam(s) ]
AccessData [1 Certification Exam(s) ]
ACFE [1 Certification Exam(s) ]
ACI [3 Certification Exam(s) ]
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ACSM [4 Certification Exam(s) ]
ACT [1 Certification Exam(s) ]
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ADOBE [93 Certification Exam(s) ]
AFP [1 Certification Exam(s) ]
AICPA [2 Certification Exam(s) ]
AIIM [1 Certification Exam(s) ]
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Alfresco [1 Certification Exam(s) ]
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Amazon [7 Certification Exam(s) ]
American-College [2 Certification Exam(s) ]
Android [4 Certification Exam(s) ]
APA [1 Certification Exam(s) ]
APC [2 Certification Exam(s) ]
APICS [2 Certification Exam(s) ]
Apple [71 Certification Exam(s) ]
AppSense [1 Certification Exam(s) ]
APTUSC [1 Certification Exam(s) ]
Arizona-Education [1 Certification Exam(s) ]
ARM [1 Certification Exam(s) ]
Aruba [8 Certification Exam(s) ]
ASIS [2 Certification Exam(s) ]
ASQ [3 Certification Exam(s) ]
ASTQB [8 Certification Exam(s) ]
Autodesk [2 Certification Exam(s) ]
Avaya [106 Certification Exam(s) ]
AXELOS [1 Certification Exam(s) ]
Axis [1 Certification Exam(s) ]
Banking [1 Certification Exam(s) ]
BEA [5 Certification Exam(s) ]
BICSI [2 Certification Exam(s) ]
BlackBerry [17 Certification Exam(s) ]
BlueCoat [2 Certification Exam(s) ]
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Business-Objects [11 Certification Exam(s) ]
Business-Tests [4 Certification Exam(s) ]
CA-Technologies [20 Certification Exam(s) ]
Certification-Board [10 Certification Exam(s) ]
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CheckPoint [44 Certification Exam(s) ]
CIDQ [1 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [321 Certification Exam(s) ]
Citrix [48 Certification Exam(s) ]
CIW [18 Certification Exam(s) ]
Cloudera [10 Certification Exam(s) ]
Cognos [19 Certification Exam(s) ]
College-Board [2 Certification Exam(s) ]
CompTIA [79 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
Consultant [2 Certification Exam(s) ]
Counselor [4 Certification Exam(s) ]
CPP-Institute [4 Certification Exam(s) ]
CSP [1 Certification Exam(s) ]
CWNA [1 Certification Exam(s) ]
CWNP [14 Certification Exam(s) ]
CyberArk [2 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [13 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
DRI [1 Certification Exam(s) ]
ECCouncil [23 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [128 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
ESPA [1 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [40 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [36 Certification Exam(s) ]
Food [4 Certification Exam(s) ]
Fortinet [16 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
FSMTB [1 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [9 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [15 Certification Exam(s) ]
Google [5 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [30 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [753 Certification Exam(s) ]
HR [4 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [31 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IAHCSMM [1 Certification Exam(s) ]
IBM [1535 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [7 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
Juniper [66 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [24 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [9 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [68 Certification Exam(s) ]
Microsoft [387 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
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NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [299 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [12 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [16 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [7 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real Estate [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [136 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [7 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [63 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]





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