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|Publication number
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|Publication date
|Feb 7, 2012
|Filing date
|Mar 24, 2006
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|Mar 24, 2006
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|Deepak Srinivao Turaga, Michail Vlachos, Philip S. Yu
|Original Assignee
|International Business Machines Corporation
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|Patent Citations (8), Non-Patent Citations (13), Referenced by (2), Classifications (9), Legal Events (4)
|External Links: USPTO, USPTO Assignment, Espacenet
This invention was made with Government support under Contract No.: H98230-05-3-0001 awarded by the U.S. Department of Defense. The Government has certain rights in this invention.
The present invention relates to spectrum or periodogram estimation in streaming data under conditions of limited resources.
Spectrum estimation, that is, analysis of the frequency content of a signal, is a core operation in numerous applications, such as data compression, medical data analysis (ECG data), pitch detection of musical content, and other applications. Widely used estimators of the frequency content are the periodogram and the autocorrelation of a sequence. For statically stored sequences, both methods have an O(nlogn) complexity using the Fast Fourier Transform (FFT). For dynamically updated sequences (streaming case), the same estimators can be computed incrementally, by continuous update of the summation in the FFT computation, through the use of Momentary Fourier Transform.
However, in a high-rate, data streaming environment with multiple processes 'competing' over computational resources, there is no guarantee that each running process will be allotted sufficient processing time to fully complete its operation. Instead of blocking or abandoning the execution of processing threads that cannot fully complete, a desirable compromise would be for the system to make provisions for adaptive process computation. Under this processing model every analytic unit (e.g., in this case the 'periodogram estimation unit') can provide partial (coarser') results under tight processing constraints.
Under the aforementioned processing model and given limited processing time, one may not be seeking for results that are accurate or perfect, but only 'good enough'. Even so, since a typical streaming application will require fast, 'on-the-fly' decisions, an intelligent sampling procedure of exemplary efficiency would appear to represent a significant improvement over conventional efforts. A need has thus been recognized in connection with effecting such an improvement, among others.
There is broadly contemplated herein a method and apparatus for periodogram estimation based on resource (such as CPU, memory etc.) availability, in accordance with at least one presently preferred embodiment of the present invention. Also broadly contemplated herein is an intelligent sampling procedure that can decide whether to retain or discard an examined sample, based on a "lightweight" linear predictor whereby a sample is recorded only if its value cannot be predicted by previously seen sequence values.
Also, considering that in view of the sampling process, the retained data samples (a subset of the examined data window) are not guaranteed to be equi-spaced, there is also contemplated herein an elaboration of a closed-form periodogram estimation in the context of unevenly spaced samples.
In summary, one aspect of the invention provides a method of providing a spectrum estimation for data in a data stream, the method comprising the step of providing a spectrum estimation based on resource availability.
Another aspect of the invention provides an apparatus for providing a spectrum estimation for data in a data stream, the apparatus comprising an arrangement for providing a spectrum estimation based on resource availability.
Furthermore, an additional aspect of the present invention provides a program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for providing a spectrum estimation for data in a data stream, the method comprising the step of providing a spectrum estimation based on resource availability.
The above and other objects, features, and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which:
Generally speaking, in considering a data streaming scenario, one objective addressed herein is the provision of efficient mechanisms for estimating and updating the spectrum within a current data window. As such, a periodogram may be used as an estimate of the spectrum. A schematic illustration of resource-adaptive methodology in accordance with a preferred embodiment of the present invention is provided in
Briefly, in the context of an examined window 102 of a data stream 100, a load shedding arrangement will provide an intelligent sampling scheme (104). At a decision point 106, if there is insufficient CPU time (108), then more points will be removed (110) to yield a spectrum estimation (112) in that context. But given sufficient CPU time (114), then no intermediate step is essentially needed to arrive at spectrum estimation (116). This process will be described in greater detail below.
Essentially, at any given time, there might not be enough processing capacity to provide a periodogram update using all the samples within the data window. The first step toward tackling this problem is the reduction of points using an 'on-the-fly' load-shedding scheme. Sub-sampling can lead to data aliasing and deteriorate the quality of the estimated periodogram. Therefore, the sampling should not only be fast but also intelligent, mitigating the impact of the sub-sampling on the squared error of the estimated periodogram. Sampling is based on a linear predictor, which retains a sample only if its value cannot be predicted by its neighbors. An estimator unit is also employed, which changes over time the 'elasticity' of the linear predictor, for proper adaptation to the current CPU load.
If there is enough CPU time to process the final number of retained samples, the spectrum is computed. Otherwise, more samples are dropped randomly and the new estimate is computed on the remaining samples.
The computation of the approximate periodogram is based on a formulation of the DFT and the periodogram using unevenly spaced samples, a highly desirable step due to the sampling process. Under a sliding window model, some of the previously used samples are discarded, while new samples are added in the window. A periodicity estimation algorithm proposed herein possesses a very simple update structure, requiring only subtraction of contributions from discarded samples and addition of contributions due to the newly included samples.
Turning now to specific implementations, the Discrete Fourier Transform is used to analyze the frequency content in a discrete and evenly sampled signal. In particular for a discrete time signal x[n] the DFT X [m] is defined for all samples 0≦m, n≦N−1 as:
The periodogram P of a signal corresponds to the energy of its DFT:
P[m]=∥x[m]∥ 2 (2)
Consider now, a continuous signal x(t) sampled unevenly at discrete time instants {t0, t1, . . . , tN−1}. An example of this is shown in
One may write this unevenly sampled signal using the discrete notation as x[kn] where ti=kiT (kiε
One can measure the complexity of algorithms in terms of the number of additions (subtractions), multiplications and divisions involved in the computations. Thus, one may label the complexity of a single multiplication as ξMul, of a division as ξDiv and of a sum/subtraction as ξSub.
In connection with a load shedding scheme, one may consider the typical problem of running spectral analysis where we slide a window across the temporal signal and incrementally update the signal's DFT (and the respective periodogram). Preferably, one starts with an evenly sampled signal, with sampling interval T. Consider that the window slides by a fixed amount Width�T. As a result of this sliding we discard n1 points from the beginning of the signal and add n2 points to the end. However, if the available CPU cycles do not allow us to update the DFT using all the points, one can adaptively prune the set of added points using uneven sub-sampling to meet the CPU constraint while minimizing the impact on the accuracy of the updated DFT.
The disclosure now turns to an algorithm (with linear complexity) for the adaptive pruning of the newly added samples. In order to decide whether one can retain a particular sample, one may preferably determine whether it can be linearly predicted from its neighbors. (Higher order predictors are also possible, but would clearly result in higher complexity.) In particular, to make a decision for sample ki one preferably compares the interpolated value xint[ki] with the actual value x[ki], where the interpolated value is computed as:
where sample ki−1 is the last retained sample before sample ki and sample ki+1 is the immediately following sample. If
one can discard the sample ki, otherwise it is retained. The parameter Thresh is an adaptive threshold that determines the quality of the approximation. If the threshold is large, more samples are discarded, and similarly if the threshold is small fewer samples are discarded. (It should be noted that the squared approximation error due to this sub-sampling scheme cannot be bounded in general for all signals, however it is selected for its computational simplicity. In particular, for the wide variety of signals considered in experimentation herein, there has not been observed squared error significantly larger than the absolute squared threshold value. Modification of this scheme to guarantee bounds on the approximation error can well be further explored.) An example of this interpolation scheme is shown in
ξinterp=(2ξMul+4ξSub+ξDiv)(n 2−2) (4)
Further below is a discussion of how to tune the threshold Thresh in order to obtain the desired number of {circumflex over (n)}2 samples, out of the n2 samples added by the sliding window.
The load-shedding algorithm assumes the input of a threshold value, which directly affects the resulting number of retained points within the examined window. The desirable number of final points after the thresholding is dictated by the available CPU load. An optimal threshold value would lead to sampling exactly as many points as could be processed by the currently available CPU time. However, there is no way of predicting accurately the correct threshold without having seen the complete data, or without resorting to an expensive processing phase. In
A simple estimator of the threshold value with constant complexity can be provided, derived by training on previously seen portions of the data stream. The expectation is that the training will be performed on a data subset that captures a sufficient variation of the stream characteristics. The estimator will accept as input the desired number of final samples that should remain within the examined window, along with a small subset of the current data characteristics, which—in a way—describe its 'shape' or 'state' (e.g. a subset of the data moments, its fractal dimensionality, etc.). The output of the estimator is a threshold value that will lead (with high expectation) to the desirable number of window samples.
The estimator is not expected to have zero error, but it should lead approximately to the desired compression ratio. In the majority of cases the selected threshold will lead either to higher or lower compression ratio. Intuitively, higher compression (or overestimated threshold) is preferable. This is the case, because then one does not have to resort to the additional phase of dropping randomly some of the retained samples (a sampling that is 'blind' and might discard crucial points, such as important local minima or maxima). In experimentation (as discussed further below), it has been verified that this desirable feature is true for the threshold estimator that is presented immediately below.
By way of a training phase, assume that F is a set of features that capture certain desirable characteristics of the examined data window w, and Pε{0, 1, . . . , |w|} describes how many points can be processed at any given time. The threshold estimator will provide a mapping F�P
It is not difficult to visualize that data whose values change only slightly (or depict small variance of values) do not require a large threshold value. The reverse situation exists for sequences that are 'busy', or exhibit large variance of values. With this observation in mind, there is employed the variance within the examined window as a descriptor of the window state. Higher order moments of the data could also be used in conjunction with the variance for improving the accuracy of the predictor. However, for simplicity and for keeping the computational cost as low as possible, there is employed just the variance in our current prototype implementation.
The training phase proceeds as now described. Given the training data, a sliding window is run on them. For each data window there is computed the variance and there is executed the load-shedding algorithm for different threshold values (typically, 20, 40, . . . , 100, 120). After the algorithm execution the remaining number of data points is recorded. This process is repeated for all the extracted data windows. The result of this algorithm will be a set of triplets: [threshold,variance, number of points]. Given this, one can construct the estimator as a mapping f (numPoints,variance)
It is clear that the training phase is not performed in real-time. However it happens only once (or periodically) and it allows for a very fast prediction step.
It should be pointed out that, even though we assume that the training data will provide 'sufficient' clues on the data stream characteristics, the estimator might come upon an input of [variance, numPoints] that has not encountered during the training phase. In this case, one can simply provide the closest match, e.g. the entry that has the closest distance (in the Euclidean sense) to the given variance and number of points. Alternatively, one could provide an extrapolation of the values, in other words, explicitly learn the mapping function. This can be achieved by constructing an RBF network based on the training triplets. Since this approach is significantly more expensive and could present overfitting problems, in the experiments below the former alternative is followed.
Further, over a period of time, the stream characteristics may gradually change, and in the end may differ completely from the training data, hence leading to inconsistent predictions. One can compensate for this by 'readjusting' the predictor, by also recording the observed threshold error during the algorithm execution. This will result in a more extended maintenance phase of the estimator, but this cost is bound to pay off in the long run for datasets that exhibit frequent 'concept drifts'. This extension is not further elucidated upon herein, but it is presently noted as a potential addition for a more complex version of the threshold estimator.
Consider a signal x[ki],0≦i≦N−1, as shown in
where for m=1, . . . , M−1
and for m=0
A significant benefit that equation (5) brings is that the DFT for such unevenly sampled signals can be evaluated incrementally. Hence, if the window is shifted by a fixed width such that the first n1 points are discarded, and n2 points are added at the end, then the DFT of the signal may be updated as follows:
There will now be considered the complexity of computing this update. As with several papers that analyze the complexity of the FFT, it is assumed that the complex exponentials
(and the intermediate value
) are considered pre-computed for all m and n. Using labels for complexity as defined in the notation, the complexity of computing one single update coefficient Xn[m] for m=1, . . . , M−1—1 may be represented as:
{circumflex over (ξ)}=6ξMul+5ξSub+ξDiv (9)
and for m=0 as
{circumflex over (ξ)}=2ξMul+2ξSub (10)
Finally, the complexity of updating all the M DFT coefficients in this scenario is:
Using a presently inventive sub-sampling algorithm, one can reduce the number of samples that need to be used to update the DFT. Consider that as a result of the pruning, one can reduce n2 samples into a set of {circumflex over (n)} samples ({circumflex over (n)}2≦n2). While the reduction in the number of samples directly translates to a reduction in the complexity of the update, one should also factor in the additional cost of the sub-sampling algorithm. Comparing equations (11) and (4) it is apparent that the overall complexity of the update (including the sub-sampling) is reduced when:
ξupdate(M,n 1 ,n 2)≧ξupdate(N,n 1 ,{circumflex over (n)} 2)+ξinterp (12)
To determine when this happens, consider a simple case when {circumflex over (n)}2=n2−1, i.e. the sub-sampling leads to a reduction of one sample. The increase in complexity for the sub-sampling is (2ξMul+4ξSub+ξDiv)(n2−2) while the corresponding decrease in the update complexity is (M−1)(6ξMul+5ξSub+ξDiv)+(2ξMul+2ξSub)+MξSub (from equation (11). Clearly, since {circumflex over (n)}2<n2≦M, one can easily realize that the reduction in complexity far outweighs the increase due to the sub-sampling algorithm. In general, equation (12) is always true when the sub-sampling algorithm reduces the number of samples (i.e., when {circumflex over (n)}2<n2).
If, at a certain time, the CPU is busy, thereby imposing a computation constraint of ξlimit, one should preferably perform a DFT update within this constraint. If ξupdate(M,n1,n2)>ξlimit one cannot use all the samples n2 for the update, and hence one needs to determine the optimal number of samples to retain {circumflex over (n)}2, such that ξupdate(M,n1,{circumflex over (n)}2)+ξinterp≦ξlimit. Specifically, one may compute this as:
Finally, one can achieve this by tuning the sub-sampling threshold Thresh based on the threshold estimator algorithm described hereinabove.
The disclosure now turns to experimentation with the algorithms and concepts discussed hereinabove.
The usefulness of the presently inventive resource-adaptive periodicity estimation depends on two factors:
The quality of the approximated Fourier coefficients is measured on a variety of periodic datasets obtained from the time-series archive at UC Riverside. These datasets only have a length of 1024, therefore it is difficult to provide a meaningful evaluation on the streaming version of the algorithm. However, by providing the whole sequence as input to the periodicity estimation unit one can evaluate the effectiveness of the load-shedding scheme in conjunction with the closed-form DFT computation on the unevenly spaced samples. One can compute the accuracy by comparing the estimated periodogram against the actual one (had we not discarded any point from the examined data window). Thus, the above experiment was run on different threshold values Thresh=20 . . . 120. For example, a value of Thresh=20 signifies that the predicted value (using the linear predictor) does not differ more than 20% from the actual sequence value.
Note that the original periodogram is evaluated on a window of M points (M=1024), while the one based on uneven sampling uses only the N remaining samples (N≦M). In order to provide a meaningful comparison between them the latter periodogram is evaluated on all M/2 frequencies—see equation (6)—, even though this is not necessary with an actual deployment of the algorithm.
The accuracy of the presently inventive methodology is compared against a naive approach that uses equi-sampling every N/M points (i.e., leading again to N remaining points within the examined window). This approach is bound to introduce aliasing and distort more the original periodogram, because (unlike the intelligent loadshedding) it does not adapt according to the signal characteristics.
The results suggest that the load-shedding scheme employed by the presently inventive technique can lead to spectrum estimates of much higher quality than competing methods. In two cases (
To test the accuracy of the threshold estimator, longer datasets are needed, which could be used for simulating a sliding window model execution and additionally provide a training subset. Thus, for experimentation purposes, there were utilized real datasets provided by the automotive industry. As such, these are diagnostic measurements that monitor the evolution of variables of interest during the operation of a vehicle. Examples of such measurements could be the engine pressure, the torque, vibration patterns, instantaneous fuel economy, engine load at current speed, etc.
Periodic analysis is an indispensable tool in automotive industry, because predictive maintenance can be possible by monitoring the changes in the spectrum of the various rotating parts. Therefore, a change in the periodic structure of the various engine measurements can be a good indicator of machine wear and/or of an incipient failure.
The measurements used have a length of 50000 points and represent the monitoring of a variable over an extended period of time. On this data, there was employed a sliding window of 1024 points. A synthetic CPU load is generated, which is provided as input to the periodicity estimation unit. Based on the synthetic CPU trace, at any given point in time the periodicity unit is given adequate time for processing a set of points with cardinality within the range of 50 to 1024 (1024 being the length of the window). In
Executing the presently inventive algorithm on the complete data stream, the accuracy of the threshold estimator is monitored. The estimator is fed with the current CPU load and provides a threshold estimate Threshest that will lead with high probability to {circumflex over (P)} remaining points (so that they could be sufficiently processed given the available CPU load). Suppose that the actual remaining points after the application of the threshold Threshest, are P. An indicator of the estimator accuracy is provided by contrasting the estimated number of points {circumflex over (P)} against the actual remaining ones P(error=|{circumflex over (P)}−P|).
The experimental results are very encouraging and indicate an average error on the estimated number of points in the range of 5% of the data window. For this experiment, if the predicted number of points for a certain threshold is 250 points, the actual value of remaining points could be (for example) 200 points. This is the case of an overestimated threshold which compressed more the flowing data stream. As mentioned before, this case is more desirable (than an underestimated threshold), because no additional points need to be subsequently dropped from the current data window (which is not bound to introduce additional aliasing problems).
A histogram of the estimator approximation error is in
In summary, there has been presented herein the first resource-adaptive method for periodicity estimation for streaming data. By way of brief, albeit non-restrictive recapitulation, some key aspects of a proposed method in accordance with at least one embodiment of the present invention are:
(1) An intelligent load-shedding scheme that can adapt to the CPU load using a lightweight predictor.
(2) A DFT estimation that utilizes unevenly spaced samples, provided by the previous phase.
The quality of the approximated DFT has been shown and it has also been demonstrated that the scheme can adapt closely to the available CPU resources. The intelligent load-shedding scheme has been compared against equi-sampling and improvements in the periodogram estimation ranging from 10% to 90% are shown.
Further exploration could involve an examination of whether it is possible to reduce the computational cost even further.
By way of further recapitulation, some of the important contributions set forth herein are as follows:
Other recent work on periodicity estimation on data streams has appeared, where the authors study sampling techniques for period estimation using sublinear space. Other work proposes sampling methods for retaining (with a given approximation error) the most significant Fourier coefficients. Still other work adapts the use of wavelet coefficients for modeling a data stream, providing also a periodicity estimator using logarithmic space complexity. However, none of these approaches addresses the issue of resource adaptation, which is one of the main contributions provided herein. It should be further noted that a presently proposed method for periodogram reconstruction based on irregularly spaced samples is significantly more lightweight than the widely used Lomb periodogram (which incurs a very high computational burden).
It is to be understood that the present invention, in accordance with at least one presently preferred embodiment, includes an arrangement for providing a spectrum estimation based on resource availability, which may be implemented on at least one general-purpose computer running suitable software programs. It may also be implemented on at least one integrated Circuit or part of at least one Integrated Circuit. Thus, it is to be understood that the invention may be implemented in hardware, software, or a combination of both.
Although illustrative embodiments of the present invention have been described herein with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments, and that various other changes and modifications may be affected therein by one skilled in the art without departing from the scope or spirit of the invention.
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|Citing Patent
|Filing date
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|Feb 29, 2012
|Jun 23, 2015
|Samsung Electronics Co., Ltd.
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|U.S. Classification
|702/181, 702/186, 709/226, 702/76, 714/1
|International Classification
|Cooperative Classification
|European Classification
|Nov 24, 2006
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A Detroit Lakes woman received consecutive sentences on two felony charges in Becker County District Court Feb.
A Park Rapids man was sentenced on a felony charge in Becker County District Court Jan. 31. District Judge Waldemar Senyk ordered Shane Pfeifer, 25, of 36313 County Highway 36, serve 81 months in prison, with credit for time served. He was also fined $137. Pfeifer was convicted of first-degree manufacture of a controlled substance. Becker County law enforcement searched his rural residence on Jan. 11, 2005, and discovered assorted items and materials used for the manufacture of methamphetamine, as well as a quantity of meth.
Clancy came to town Tuesday and immediately went to work searching for mercury. He isn't a human.
The Maplewood Veterinary & Animal Hospital Team from Pelican Rapids called the "Lucky Dogs" scored an eight-ender in the second end during league play on Tuesday, Jan. 10, at the Lakes Curling Club in Detroit Lakes. Every sport or game has its signature achievement, an elusive superlative that is dramatically superior or significantly less likely than other feats in that particular sport. The achievements are usually expressed in numerical form.
On Jan. 21, at their regular Board of Trustees meeting, the Becker County Historical Soci-ety elected their 2006 officers. Carolyn Engebretson was elected as president. Duane Fish was elected vice president. Virginia Weston was re-elected secretary. Conrad Ohm was re-elected as treasurer. These officers make up the Executive Committee of the Board. Other Committees that Board members signed up for are Nominating/Recruitment, Building/Facilities, Collections, Events, Education, Development/ Fundraising/Capital Campaign, Board Development, Strategic Planning, Membership, and By-Laws/Policy.
The Becker County Sheriff's Department is investigating a vandalism incident on the Two Inlets snowmobile trail system that injured a snowmobiler. The Forest Riders Snow-mobile Club is offering a $1,000 reward for information leading to an arrest in the incident. Sheriff Tim Gordon said a rural Menahga man was injured Jan. 28 when he had to turn his snowmobile off the trail because of a downed tree. The snowmobiler then struck a tree off the trail. Gordon did not disclose who the operator was. Details of the operator's injuries were not available.He was taken to St.
The final month of training is underway at the Joint Readiness Center, Fort Polk, La., for the 1st Brigade Combat Team. In mid-March, the 2,600 members -- men and women -- of the Minnesota Army National Guard will hold their department ceremony and then be deployed to Iraq. The lead-up to the one-year deployment has been filled with six months of extensive training, beginning first at Camp Shelby in Mississippi. The brigade includes members of the 2nd Battalion 136th Infantry, who are headquartered at several Northwest Minnesota armories, including Detroit Lakes, Moorhead and Bemidji.
The second trial date for Hawley Mayor Davis Blakeway was pushed back two months. Blakeway, 29, was scheduled to stand trial Tuesday in Clay County District Court on felony charges of making terroristic threats and second-degree burglary. He pleaded not guilty Dec. 27. The state requested the delay because a witness wasn't available for trial, according to a court spokeswoman. Blakeway's next court appearance is tentatively scheduled for April 11. Blakeway was arrested Nov.
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Your Position: HomeChina NewsSwiss Liberty Acquires Swissotel Kunshan
Swiss Liberty Acquires Swissotel Kunshan
updated: 2011-02-14
Jones Lang LaSalle Hotels, representing Kingdom Hotel Investments, has announced that it has signed a sale-and-purchase agreement for shares with Swiss Liberty Sdn Bhd, a wholly-owned subsidiary of TA Global Bhd, to buy the business and hotel of Swissotel Kunshan in Kunshan, China for USD61 million.
Andreas Flaig, the managing director of Jones Lang LaSalle Hotels in China, said that Swissotel Kunshan will offer excellent opportunities for income growth in a city that is primed for continued economic expansion and healthy business fundamentals.
TAG said the acquisition would boost its hospitality operations in major cities worldwide, besides expanding its operations in China.
Located in the city centre of Kunshan, the five-star Swissotel Kunshan features 387 guest bedrooms, four restaurants, a spa center, gym, and meeting facilities of 958 square meters.
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Caitlin Martini focuses on commercial litigation, including products liability and consumer fraud matters. Ms. Martini graduated with a BA in Political Science and Spanish from the University of Illinois in 2011 and received her JD from Northwestern University School of Law in 2014, where she served as an Associate Editor of the Northwestern University Law Review.
- JD, Northwestern University School of Law, 2014
- BA, University of Illinois, 2011, cum laude
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- US District Court, Northern District of Illinois


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Marvel, a 4 week old kitten, was brought to our Abbey Street Rehoming Centre by one of our RSPCA inspectors. Alerted to the case by a kind-hearted member of the public, Marvel was found abandoned - wandering by some bins in Derby City Centre.
We are currently undergoing a few exciting changes at Abbey Street, we're busy getting the new Cattery ready for 'kitten season'. Every year we see the intake of kittens rise … http://rspcaderby.org.uk/blog/2016/05/help-kittens-marvel/
Why is neutering so essential? Read about misconceptions associated with neutering and the effect of irresponsible breeding on rescue centres
Neutering is something which is heavily promoted by RSPCA Branches and other rescue centres nationwide. Indeed, all of our dogs, cats and rabbits are either neutered before leaving… http://rspcaderby.org.uk/blog/2014/05/importance-neutering/


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We find quicker ways to go the extra mile.
Our data-driven approach means that we never settle for second best, so our brands are always ahead of the game.
Our data-driven approach means that we never settle for second best, so our brands are always ahead of the game.
The Hut Group was founded on a desire to create an e-commerce system that could support multiple retailers. Today, our proprietary platform is used to manage over 100 websites, which we build, trade and market in-house.
This model gives us the flexibility to find original solutions to novel questions. It also means that internal development is the best business investment we can make. Alongside comprehensive practical training, we encourage creativity and independent ventures to ensure that we're always one step ahead.
Our community attracts people from a diverse range of backgrounds, which provides an ideal foundation for us to cultivate an adaptive and responsive company. With an average age of 26, we're fully meritocratic and certainly not averse to taking risks.
Hard work and commitment is expected of every employee, but achievement never goes unnoticed. Some of us are early birds, others are night owls, but we're all high fliers with big ambitions.
We are a team of retail and technology experts who are constantly looking to disrupt the industry.
Matthew qualified as a chartered accountant with Arthur Anderson after completing an Industrial Economics degree at The University of Nottingham. He founded The Hut Group with John Gallemore in 2004, which they have evolved from an entertainment re-seller into a vertically integrated global health and beauty brand in little over a decade.
John founded The Hut Group with Matthew Moulding in 2004, having previously worked together at The Caudwell Group. They intially set out to sell home entertainment goods, establishing the business using £500,000 of personal funds and buying the domain TheHut.com for £3,000.
Paul arrived at The Hut Group in 2009 and quickly became an integral member of the team. His ability to build, motivate and manage led to his promotion to CEO of our Consumer division in September 2012. After driving significant growth within Consumer and Prestige, Paul joined the Executive Board in October 2012.
Andy is a qualified accountant with prior retail experience at Pets at Home and Matalan. In May 2011, he joined The Hut Group to establish the Commercial Finance Function. Andy was promoted to CEO of our Health division in December 2012. After successfully overseeing the division's international growth strategy and the delivery of a world-class production facility, he joined the Executive Board in May 2015.
Adam joined The Hut Group as a commercial analyst in October 2011 after graduating from Durham University with an MA in Physics. Soon after he arrived, he successfully implemented an analytical approach to online trading across the group and was promoted to CEO of our Consumer division in October 2013.
Rachel worked at Boots for five years before joining The Hut Group in September 2012 as Head of Trading for the Beauty division. In her first year, she won Best Newcomer in the 2012 annual Company Awards and followed this by delivering record-breaking retail sales growth in 2013. In September of the same year, Rachel was promoted to Managing Director of our Prestige Beauty division.
Schalk joined The Hut Group in 2014 as IT Director, after 3 years of leading Infrastructure at Betfair. Prior to this, he completed an MBA in Finance and Accounting at the University of Liverpool. He was instrumental in scaling and upgrading our IT systems in preparation for peak trading seasons. In September 2015, Schalk was promoted to Chief Technology Officer.
Joining in March 2011 Ashley leads our industry pioneering talent function. Ash focuses on finding and nurturing leaders with an emphasis on sheer potential over industry experience and a meritocratic culture in place of traditional hierarchy; making THG the number 1 place for ambitious talent that want to run a business or build industry leading technology. Prior to this, Ashley worked at leading search firm Watson Moore, headhunting executives for a range of fast growth venture backed companies in the North West
Darren joined The Hut Group in 2008, making him one of the early founding team members. He is a CIMA qualified accountant with 7 years of financial experience at The Caudwell Group. As CCO, Darren played a key role in our rapid expansion and was promoted to CEO of THG Platform division in March 2016.
Fabiola joined The Hut Group in December 2009 as Head of Operations after 6 years of experience at The Caudwell Group. She instigated our first operations, whilst also playing a key role in the integration of business acquisitions. . In the 2013 annual Company Awards, Fabiola won Best Contribution of the Year.
Steven joined The Hut Group in January 2010 and has been intrinsically involved in the strategic development of the business. Prior to this, he worked for Barclays Private Equity (now Equistone Partners) and Altium Capital (now GCA Altium). He manages all of our mergers and acquisitions, as well as step-change corporate and capital projects.
James joined The Hut Group in July 2010 as Group Legal Director and Company Secretary. Prior to working here, James was a corporate partner in a national law firm advising on mergers and acquisitions, takeover offers and schemes of arrangement, disposals, IPOs and equity fundraisings.
Wing joined The Hut Group in 2013 as a Software Engineer after graduating first in his year from Cambridge in Computer Science. Wing founded the Customer Science function in 2015. In August 2016, he was promoted to Chief Marketing Officer, leading marketing, data science and creative across the group.
Quentin joined The Hut Group in 2016 after 5 years at Goldman Sachs International and 19 years in the British Army.
Quentin retired from the Army in 2011 as a Lieutenant Colonel having been awarded an MBE and decorated for gallantry in the Iraq conflict.
He is responsible for the development of all of our talent, improving leadership and optimising the unique calibre of people who work at The Hut Group.
He completed his MBA at Cranfield University and also has an MA in Defence Studies from King's College London.
Shane joined The Hut Group in 2016, following 22 years military service as a senior risk and resilience manager, operating globally on behalf on the MOD and Foreign & Commonwealth Office.
Shane is responsible for designing and delivering dynamic risk management solutions to The Hut Group global business operating environment.
He has gained a 1st (BA Hons) in Security Consultancy
Angus has immense retail experience. He spent 13 years at Marks & Spencer, followed by 5 years at the Burton Group/Arcadia, where he was Managing Director of Dorothy Perkins. He then spent 4 years at Kingfisher, where he was Trading Director at B&Q and Woolworths. Angus joined Matalan as a Non-Executive Director in 1991, becoming Chief Executive 5 years later and leading the retailer's 1998 flotation.
Iain is a partner with the William Currie Group, which is a private family office focussed on technology and e-commerce investments. Before this, Iain was a top-ranked retail and e-commerce analyst with Numis Securities and Charterhouse.
Mark is a General Partner at Balderton, which manages $1.9 billion in committed venture capital. Previously, Mark was the CEO of a US software services company, Entrepeneur in Residence at Benchmark Capital in Menlo Park and latterly spent 15 years working for Goldman Sachs in Europe, Asia and the US.
Richard is the CEO of the Cooperative Group, Senior Independent Director of Persimmon Plc and a Non-Executive Director of Howdens. He has over 20 years of experience in retail. Latterly, he was CFO of Morrisons, joining at a point of difficulty after the Safeway takeover. He joined The Hut Group Executive Board in October 2012, becoming Chairman on 1st April 2013.


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First tip for 2017 is LA band The Molochs
- Details
The Molochs 'America's Velvet Glory' the follow-up album to their 2013 debut, 'Forgetter Blues' is out on 13th January on Innovative Leisure Records.
The band are a new signing to Innovative Leisure and have just been confirmed for Primavera 2017. They play their first UK shows in May next year but while we are waiting, here is the video 'You And Me' 'You And Me' The Stones circa. 1966 revisited? The band say the Molochs it's said are taking the past apartt, not trying to recreate it.
Certainly a band to watch this year!
The Beat Co-Headline Tour with The Selecter
- Details
A great song to see out 2016 is The Beat's brand new single, 'Side to Side', taken from their fourth album 'Bounce' and released as double A-side 7" vinyl with a track from label mates and life-long friends The Selecter. The two bands played live from Maida Vale on 13 December for Steve Lamacq's Christmas Ska Party on BBC Radio 6.
A joint headline tour is sheduled for 2017 in the meantime, take a look at the video for 'Side to Side' HERE
Thea Gilmore - 'The War'
- Details
A quite outstanding new song from Thea Gilmour, 'The War' .. watch the video here (to the end) and follow the lyrics below;
She took a walk
Past rebels and boys who talk
Raised up her hand and fought
To bridge a divide
And the screen ghosts moaned
Flickered in every home
The teeth of the times grew long
And glittered with pride
Cos the war
It isn't out there
Like before
It isn't out there
But they'll show you the blood on the face of a child
They'll sell you your heartbreak so perfectly styled
and they'll tell you to take your position and man the frontier
But take a look at that box on your desk
Take a look at that heart in your chest
Take a look at those thoughts in your head
The war's already here
From sea to sea
From Warcraft to MTV
The language of absentees
Is zeros and ones
And Orlando aches
The French Riviera shakes
That avalanche overtakes
The roar of the guns
Its so easy to hide
Behind imagined Ironsides
Nostalgic and misty eyed
When the wolf's at the door
In the tide of hate
Throw down the counterweight
Tear up that flag and say
You're worthy of more
Cos she took a walk
Past rhetoric and empty talk
Raised up her hand and fought
To bridge a divide
You can cut that stem
But wild flowers grow again
All you can do is just tend to them
And know that you tried
Saint Sister, 'Tin Man'
- Details
Watch the new video from Saint Sister, 'Tin Man'. Directed by Bob Gallagher and inspired by The Wizard Of Oz, the video is the perfect visual accompaniment to this sweet single which is out now on Vinyl via Communion Singles Club.
The duo, Morgan MacIntyre and Gemma Doherty released their debut EP Madrid last year and following live shows now comes 'Tin Man' which, was partly inspired by John Donne's poem 'The Sun Rising', Morgan saying of the song "Tin Man is about having a dream-like faith in a specific person. It's about feeling the presence and weight of that person on an innate, instinctual level and trusting that despite not being able to see them, they are most certainly there". Both tracks on the single were recorded alongside Alex Ryan, the bassist with Hozier.


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As Germany's parliament prepares to vote on a third bailout for Greece on Friday, the country has found some of its most famous brands caught up in an online debate after Twitter users demanded the country face a "boycott".
Greece has paved the way for the bailout which could potentially save the country from bankruptcy after ministers voted harsh austerity measures through parliament following a night of civil unrest on the streets of Athens.
Many however have seen the austerity measures, which include pension cuts and sweeping sales tax hikes, as too harsh, with people across the world voicing their anger earlier this week at European leaders using the hashtag #ThisIsACoup.
Others meanwhile have focused more closely on the part Germany has played in the crisis, with the country facing a backlash from activists and others for its perceived role in the situation Greece now finds itself in.
The hashtag #BoycottGermany started to be tweeted regularly over the weekend, with its popularity peeking at the beginning of this week, according to analytics site Topsy. At the time of writing more than 32, 000 tweets had featured the hashtag.
my proposal: Germany now morally obliged to repay Nazi debt canceled in 1953. With interest. We must #BoycottGermany until they do.— David Graeber (@davidgraeber) July 13, 2015
All the planet #BoycottGermany. Support south Europe, democracy, human rights. #ThisIsACoup #OTRASeattle pic.twitter.com/V65SlAKmZe— manole (@manoleblog) July 16, 2015
we must launch a campaign to Boycott German product and support #greece #tsipras #Syriza #boycottgermany @europeanleft— Haitao (@fangbianmen) February 19, 2015
Many of the tweets using the hashtag call for famous German products and brands to be boycotted while others highlighted the debt relief Germany received after the Second World War from creditors including Greece.
The hashtag however has sparked debate among Twitter users, with a number of other people suggesting damaging Germany's economy is not the best way to help Greece.
#BoycottGermany is idiotic. We are Europeans. We have to solve our problems in solidarity, and rise above this bigotry. #SupportGreece— Mike Press (@MikePress) July 15, 2015
#BoycottGermany 1/2 I´m asking again:How is this in anyway supporting Greece&Greek ppl?Harming Germany´s economy is NOT getting Greek´s up!— Cathmessy (@Cathmessy) July 16, 2015
The #ThisIsACoup hashtag also sparked an online debate this week, with arguments to the contrary being posted under the counter hashtag #ThisIsNotACoup.
Seriously folks ... THIS IS NOT A COUP - It's a very bad bullying deal yes ... But #ThisIsNotACoup - Have you ever seen a coup? been in one?— Sony Kapoor (@SonyKapoor) July 13, 2015
There is no right to a bailout. And failing to grant a bailout is not a coup. #thisisnotacoup— Jeff DeFauw (@defauwjd) July 13, 2015
The Greek government has been left facing serious civil unrest after voting through the austerity measures it hopes will result in a third bailout.
Finance ministers from euro countries were due to hold a conference call today to consider financing a rescue deal for Greece and the European Central Bank is also considering a request from Athens to increase emergency assistance to Greek banks.
The vote in the Greek parliament on Thursday night triggered a revolt in the ruling Syriza party with several of Prime Minister Alexis Tsipras's prominent ministers voting against his recommendation.
Additional reporting by APReuse content


text:
- a throw
for each one ; apiece <copies are to be sold at $5 a throw — Harvey Breit>
New Collegiate Dictionary. 2001.
New Collegiate Dictionary. 2001.
a throw — informal a single turn, round, or item: → throw … English new terms dictionary
A Throw of Dice — Infobox Film name = Prapancha Pash (A Throw of Dice) image size = 300px caption = Charu Roy , and Seeta Devi in the 1929 film, Prapancha Pasha (A Throw of Dice) director = Franz Osten producer = Nadine Luque Tim Pearce Himansu Rai Bruce Wolfe… … Wikipedia
A Throw of Dice — Filmdaten Originaltitel: Schicksalswürfel (Deutsch) / Prapancha Pash (Hindi) / A Throw of Dice (Englisch) Produktionsland: Deutschland, Indien, Großbritannien Erscheinungsjahr: 1929 Länge: restaurierte englische Fassung 2006: 75 Minuten … Deutsch Wikipedia
Throw (grappling) — Throw Sacrifice throws are sometimes considered risky since they put the thrower in a potentially disadvantageous position. Japanese name … Wikipedia
Throw-in — A throw in is a method of restarting play in a game of association football (soccer). AwardA throw in is awarded to the opponents of the team that last touched the ball, when the ball leaves the field of play by wholly crossing a side touch line… … Wikipedia
Throw-weight — is a measure of the effective weight of ballistic missile payloads. It is measured in kilograms or metric tons. Throw weight equals the total weight of a missile s warheads, reentry vehicles, self contained dispensing mechanisms, penetration aids … Wikipedia
Throw bag — A throw bag is a rescue device with a length of rope stuffed loosely into a bag so it can pay out through the top when the bag is thrown to a swimmer. * In a Clavey throwbag , the bottom of the bag as a grab loop for the swimmer to hold on to. *… … Wikipedia
throw-in — throw ins N COUNT When there is a throw in in a football or rugby match, the ball is thrown back onto the field after it has been kicked off it … English dictionary
A Lord from Planet Earth — ( ru. Лорд с планеты Земля) trilogy of science fiction novels by Russian writer Sergey Lukyanenko. While the predominant genre is science fiction, the novels also include some elements of the fantasy genre.The trilogy consists of the following… … Wikipedia
throw — throw1 W1S1 [θrəu US θrou] v past tense threw [θru:] past participle thrown [θrəun US θroun] ▬▬▬▬▬▬▬ 1¦(throw a ball/stone etc)¦ 2¦(put something carelessly)¦ 3¦(push roughly/violently)¦ 4¦(make somebody fall)¦ 5¦(move hands/head etc)¦ 6¦(confuse … Dictionary of contemporary English


text:
A Small What If.
Game: Grandia
Yaoi: BxB. Don't like? Don't read. It'll save us the trouble.
Summary: What if Justin didn't like Feena? But Rapp? How would that go..? One shot for a friend! Boyonboy! Don't like, don't read! First story Fanfic here~ :3 R&R please.
Author: This is my first fanfic! Please dun eat me! Also. I know NOTHING of Grandia. I just know a little of what my friend told me and got me addicted to its characters~ R&R please~!
A yawn left from the tired Cafuian. Eyes idly looking to the sky as he pressed his pinky to his nose. A not exactly pleased with how slow his days have been passing. It was hard. Having parents as stones, and a grumpy ole' goon as a grandparent and Elder of their village wasn't exactly the funnest. The sound of bugs humming in his long ears causing irritated flicks. Eyes darting to the forest.
"Brother! Brother!" A small voice reached the Cafuian's ears. Who would be known as Rapp as he gave a toothy grin. Sounds like something was stirring. "What is it Nicky?" "We caught short ears!" The voice squealed. Making the older smile to himself. It has been awhile since short ears dared to come anywhere near the village as the small group of 'guards' approached with two.. Females?
"Let us go! We did nothing!" One with green hair shrieked. Causing my ears wanting to bleed. As the blue eye, red head just looked confused. Looking at the pint size 'warriors'. Seeming to try hiding a smile. Which caught his attention. Short ears usually don't even bother looking at us like we're living beings.
"Hey. You both. What are your names?" Rapp grinned with his ever toothy grin. The girls looking at him, the green haired one sneered. Almost as if she wanted to spit at him for simply looking at her. "Why should we tell you!" The red head just rolled her eyes and went back to looking at one of the little Cafuian, who was prodding his leg curiously with a stick. "I'm Justin. And that's Feena." "Justin!" The older Cafuian blinked at the red head, she looking towards Rapp. Frowning. "Why are we tied up?" "Why do you have a guy's name?"
Justin, the red head stares at Rapp with a complexed look before shaking his head. "Um.. Cause I'm a guy?" Boosh.. Rapp's eyes widening before his grin got larger. A laugh threatening to leave him as the red head stared nonchalantly at the brunette. Gritting his teeth. "Are you implying I look like a female?!" "No." Rapp purred. Having been able to calm himself down. "I mean. Look at you! It's easy to mistake you for a chick!"
The red head struggled against his bonds. Having a wild glint in his eye. "Say that to my face!" Rapp couldn't help but grin and hop down from his perch. Walking up towards the blues eyes that he found oddly memorizing. Specially full of anger and so much curiosity. "Feminine boy~" SMACK. Justin head butted Rapp. Feena giving out a gasp as the younger Cafuians and Nicky giving a gasp and looking at each other. Grinning.
"That hurt.." Rapp stumbled back. Rubbing his fore head as tiny tears bubbled in his gold/brown eyes. Leering at Justin as the blue eyed boy had his own tiny tears. Keeping a fierce look before the little warriors ran off, saying something about telling the villagers. Nicky in lead. As Rapp went up to Justin. "If it's a fight you want, I'll be fair.." He snorted. Cutting the bonds from the male short ear before drawing his weapon. Jumping back. "Get ready!" "Bu-" "BROTHER!"
Heads turned. Rapp running towards the direction of the scream, Justin close behind to see a cage like monster holding one of the children in from earlier. Justin could see fear for the boy on Rapp's face before drawing his weapons. "We got to kill the monster!" "Wha…?" "Wipe that look off your face, he's in trouble!"
"Thank you .. For you know.. Helping." Rapp murmured. The boy hugging onto his leg. "I don't know what I would have done if I lost my brother.." Justin gave a small smile. "It was no problem. Why did you tie us up earlier?" "We thought you were the short ears from the Tower!" The boy exclaimed. Feena kneeling down his level. "Short ears? Tower?" Rapp shook his head. "You wouldn't understand.. Unless you saw what they did to cause us to be on such high alert."
They began to walk down a path. Nicky and the other kid's ears giving a rapid twitch before running off towards a different path. Unnerving Feena a little. "Where are you leading us?" "To the old village.." Rapp frowned. Justin watching as the scenery turning a cold grey. Hard and rocky as they entered what looked like giant fruit stones with stone sculptors of villagers. "This…Is the village I was born in.. And mostly raised."
Feena shrieked. Having just poked a sculptor as it began to sway back and forth. Rapp hissing, holding it in place quickly. "Don't touch them! If they fall and break.. That's how they'll come back!" Justin shivered at that thought. Before Rapp's eyes glancing sadly towards to lumps of perfectly polished rocks. "…Rapp." "What?" :Let us help you!" Rapp's eyes widen as Justin looked at him with a serious expression. Causing the gold eye boy to get an emotional smile. His eyes seeming to shine a little. "..Really?" "Yes…"
Justin was tackled to the ground by the Cafuian. Feeling his chest being nuzzled before Rapp straddled the other's hips. A toothy grin presenting itself. "I'll hold it to ye'!" He put out a fist. At first Justin seeming slightly dazed before clicking back into reality. Lightly pounding his fist against the others. "I promise to you and your people!"
Justin yawned. Stretching a little in his freshly made inn bed. Seeing comfortable as he looked. Smiling to see Rapp had a bed next to his. Rapp wanted to get to know the red head more, so they spent most of the night talking, joking, and teasing each other. The red head smiled at the memories as he stood and stretched. Seeing he forgot to take his clothing off to sleep in only his boxers. Causing him to tug at his clothing and stick his tongue out. Furrowing a brow in distaste. "I feel sweating.." "There's springs nearby.." A familiar voice purred.
"Oh. Hey Rapp." Justin smiled. The brown haired Cafuian giving a yawn, showing off his sharp canines as he did, "So.. Princess. Feeling gross and sticky from sleeping in your clothing?" "I'm not a princess! And yeah.. I am feeling kind of gross." He frowned a little. Rapp grinning before crawling out of the bed. Stretching, showing off his nicely toned chest for his age. "Lets go then. I need one also." Gold eyes glittered as he grabbed the other's wrist. "The screaming wrench will be fine in the inn on her own."
It was morning. The sun creeping up from behind and obstacles in its way as the two boys made it to the warm spring. Rapp quickly stripping himself of his clothing, hopping into the water as Justin recluently shredded himself from his clothing. Pale skin shown from discarded clothing as he moved into the water. Thankful the bubbling hid himself. "..You're like a ghost!" Rapp gasped. Paddling over to him. Softly touching his should as wet hair hung in front of his face. "More like milk.." He gave a grin the made a light blush appear on Justin's cheeks. Causing him to pout.
"I'm not milk…" He murmured. Rapp seeming to lick his lips at this. "Oh..? Are you sure about that.. Strawberries and milk is one of my favorite treats.." This made a pleasing shudder race down Justin's spine. Causing his cheeks to heat up more as the Cafuian pressed their chests together. Licking his canines playfully. "You know.. You look cute when you blush like that.. Matches your hair.." He chuckled. Gently brushing Justin's red hair from his face. Seeing bright blues staring at him. Confused with a bit of playfulness.
Justin shivered. His eyes closing as Rapp came closure. Feeling his breathe on his lips. Causing his breathe to hitch as he felt his first kiss get snatched away by the Cafuian. Arms seeming to capture him around the waist. The kiss rough, playful and curious, but a spark was there causing it to shift and deepening. Turning from playful to passionate kissing make out session. Rapp nibbling Justin's lip as the red head gasped. The Cafuian's tongue plunging into his mouth, making the blue eye boy whimper a moan into the tongue kiss before feeling Rapp's hands playing with his chest. Sending an odd sensation through him.
"W-Wait.." The boy gasped for air. His face flushed as Rapp leaned his forehead against his own. Both their breathing seeming to be labored. "N-Not yet..I.. I want to get to know you more.." Justin gave a soft smile. "I think.. It would be better for both of us to wait for this.. " A lazy pout was visible on the gold eyes boy expression. Slowly giving a little grin. "Fine.. Only if I get kisses in between to hold myself over or I might ravish you in your sleep.." "Good with me.."
The end? Maybe. I might make one to where they finally get it on. *giggles* Anyways. I made this for a friend of mine~ I hope she likes it D8 I worked hard! I hope you all enjoyed~! R&R please~!


text:
Product Code: SE500894
Manufacturer: Sennheiser
Free mainland UK shipping available for this product
Our Price £711.99INC
Available within 2-5 working days
The SKM 2020-D hand-held microphone efficiently attenuates unwanted background noise. The transmitter is easy and comfortable to operate and highly robust.SKM 2020-D, speaking into a hand-held microphone is the easiest way to address your audience. Should a tour participant pose a question, just hand over the microphone and everything will get clearly through to everybody. Interviewing an expert in front of your audience will make your tour even more interesting.
The SKM 2020-D efficiently attenuates unwanted background noise. The transmitter is easy and comfortable to operate and highly robust. Check the back-lit display for channel and battery status. The rechargeable battery lasts for a tour of 8 hours straight. After the tour, simply quick-charge the battery pack in the charging case EZL 2020-20L which has an extra slot to charge and store a spare pack.
Digital RF signal transmission
Licence free Frequency range (EU, US)
Roughed stage-proven housing
Ideal in noisy environments
Intuitive operating concept
Backlit display
RF frequency range 926 - 928 MHz 500895
863 - 865 MHz 500894
Frequency response 100 - 7,000 Hz
THD, total harmonic distortion ≤ 1%
Transducer principle Dynamic
Weight 420 g
Range 50m / 100m Indoor / Outdoor
Pick-up pattern Cardiod
Operating temperature 0 - 50 °C
Signal-to-noise ratio > 65 dB(A)
RF output power 10 mW
Number of channels 6
Operating time 8 h
Modulation 2-FSK
Power supply BA 2015 (2,4 V); 2 AA (1,5 V)
What's in the box?
With years of experience supplying Businesses, Government Organisations, Charities, Schools, Colleges and Universities, we invite you to take advantage of our knowledge to help you make an informed choice, ensuring you are purchasing the best music products for your needs. With specialists in PA Systems, Pro Audio & Live Sound equipment on hand to answer calls and emails, you're in the best possible hands.
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text: Very big problem i am faced with and i really thought your CO can only give you a dishonorable discharge if you go to court marshall. I am facing a minor criminal damage charge to a taxi headlight for the value of £150 in civilian court next wednesday. My troop commander had spoke with the SSM and he has stated that if i am found guilty with just even a fine i will be discharged from the army. Surely this can only happen upon a court martial. I could understand if i got community service then fair enough it would stop me from carrying out weekend duties etc. But i have sorted that out with the solicitor and if i plead guilty then i would only get a fine due to me deploying on ops in september. Any help concerning this would be greatly appreciated Thank you


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Christmas Living Room Tour
Today I'm sharing the fourth and final post in my Christmas Home Tour series! If you weren't able to catch my other three posts on my entryway, kitchen, and dining room, just check out the bottom of this post for all the links to the rest of the tour! Decorating for the holidays can seem …continue reading


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This young photographer, just graduating from Maryland Institute College of Art, shares images from his thesis show that focused on wrestling.
Infamous for his beautifully modeled 'bums,' Etty was controversial in his time for the amount of nudity in his paintings, let alone for the surprising number of male nudes.
Richmond's flirty homages to the pinups of the last century get an extra pinch of sass from celebrity appearances.
Von Steiner's mega-chromatic fantasies elide childhood dreams with something much darker.
Droll, witty, and tensely erotic, Smalley's work takes place in an invented time and space, like one you dreamed of when you were young.
Hsiung's take on the beautiful men he sees in Western culture has a ripe, about-to-burst quality.
Griswold gives you the male figure in a direct, emotional way — no coy justifications needed.


text:
RF Cafe Software
About RF Cafe
1996 - 2022
Kirt Blattenberger,
RF Cafe began life in 1996 as "RF Tools" in an AOL screen name web space totaling 2 MB. Its primary purpose was to provide me with ready access to commonly needed formulas and reference material while performing my work as an RF system and circuit design engineer. The Internet was still largely an unknown entity at the time and not much was available in the form of WYSIWYG ...
All trademarks, copyrights, patents, and other rights of ownership to images and text used on the RF Cafe website are hereby acknowledged.
My Hobby Website:
Try Using SEARCH
to Find What You Need.
There are 1,000s of Pages Indexed on RF Cafe !
El Segundo, Calif. – Aug. 24, 2015 NI (formerly AWR Corporation) announces that the agenda has been set and registration opened for the AWR Design Forum 2015 (ADF) in Chengdu, China on Wednesday, Sept. 16 and in Nanjing, China on Friday, Sept. 18.
Celebrating its fifth year, ADF is an open forum that brings together NI AWR software customers, partners and microwave/RF engineering professionals to learn, network and collaborate on the design of today's microwave and RF circuits and systems.
Highlights of ADF include technical presentations featuring NI AWR Design Environment™, select customer and keynote presentations and live demonstrations/exhibition area. The presentations slated for ADF 2015 Chengdu and Nanjing locations include:
For complete event details and to register, visit:
ADF Chengdu >> www.awrcorp.com/adf/locations/chengdu-china
ADF Nanjing >> www.awrcorp.com/adf/locations/nanjing-china
About NI AWR Software
The NI AWR Design Environment software portfolio includes RF/microwave electronic design automation (EDA) tools such as Visual System Simulator for system design, Microwave Office/Analog Office for microwave/RF circuit design, and AXIEM and Analyst for electromagnetic analysis. NI AWR software tools help design engineers to dramatically reduce development time and cost for components, circuits, systems and subsystems employed in wireless, high-speed wired, broadband, aerospace and defense, and electro-optical applications. Readers can learn more at ni.com/awr.
About National Instruments
Since 1976, NI has made it possible for engineers and scientists to solve the world's greatest engineering challenges with powerful, flexible technology solutions that accelerate productivity and drive rapid innovation. Customers from a wide variety of industries–from healthcare to automotive and from consumer electronics to particle physics–use NI's integrated hardware and software platform to improve the world we live in.
Sherry Hess
Vice President of Marketing
AWR Group, NI
(310) 726-3000
Posted July 13, 2015


text:
ABB's N. Natomas, Sacto, CA
Rain gauge data
By: andybrwn, 5:58 PM GMT on November 17, 2012
Rain isn't registering. Expect that birds have plugged it again. Will clear when wind gusts are down
The views of the author are his/her own and do not necessarily represent the position of The Weather Company or its parent, IBM.


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Actors and Actress Who Look Like They Have Bright Futures in the Acting World
It's all in the title.
It depends on your director or the script your given but I put most of the actors on this list because I've seen them in films and look like they have bright futures in the acting world or that they look capable.
It depends on your director or the script your given but I put most of the actors on this list because I've seen them in films and look like they have bright futures in the acting world or that they look capable.
Log in to copy items to your own lists.
Asa Butterfield
Actor, Hugo
Asa Butterfield was born in Islington, London, England, to Jacqueline Farr and Sam Butterfield. He began acting at the age of 8, after a talent spotting casting director saw him at his local after school drama club, The Young Actors Theatre in Islington. Following on from a couple of small roles in films...
Saoirse Ronan
Actress, Atonement
Saoirse Una Ronan was born in The Bronx, New York City, New York, United States, to Irish parents, Monica Ronan (née Brennan) and Paul Ronan, an actor. When Saoirse was three, the family moved to Ireland, and Saoirse grew up in its County Carlow. Saoirse made her first TV appearance with a small role in a few episodes of the TV series...
Abigail Breslin
Actress, Little Miss Sunshine
Academy Award-nominated actress Abigail Breslin is one of the most sought-after actors of her generation. Her unique and charismatic talents have contributed to her versatile roles in both comedy and drama. Most recently, Breslin starred in the first season of the horror-comedy series, "Scream Queens" opposite Emma Roberts...
Mary Elizabeth Winstead
Actress, 10 Cloverfield Lane
Mary Elizabeth Winstead is a gifted actress, known for her versatile work in a variety of film and television projects. Possibly most known for her role as Ramona Flowers in Scott Pilgrim vs. the World, she has also starred in critically acclaimed independent films such as Smashed, for which she received an Independent Spirit Award nomination...
Michael Cera
Actor, Scott Pilgrim vs. the World
Canadian actor Michael Cera was born in Brampton, Ontario, to parents who worked for Xerox. His mother, Linda, who is from Quebec, has English, Irish, Scottish, and Dutch ancestry, and his father, Luigi Cera, is Sicilian. Michael is the middle child between two sisters. He was educated at Conestoga Public School...
Chloë Grace Moretz
Actress, Kick-Ass
Chloë Grace Moretz was born in Atlanta, Georgia, to Teri (Duke), a nurse, and McCoy Lee Moretz, a plastic surgeon. She has four brothers, all older, including actor Trevor Duke-Moretz. Her ancestry is mostly German and English. Chloë's first two appearances were as Violet in two episodes of the series The Guardian...
Georgie Henley
Georgina Helen Henley was born July 9, 1995 in Ilkley, Yorkshire, England, the youngest of three daughters of Mike and Helen Henley. When she was young, she joined a local drama group called "Upstagers". It was there that she started her acting career, participating in stage performances such as "Babushka: A Christmas Story" and "The Pied Piper", prior to landing her first role in a film...
Anna Popplewell
Anna Popplewell was born on December 16, 1988 in London, England as Anna Katherine Popplewell. She is an actress, known for The Chronicles of Narnia: The Lion, the Witch and the Wardrobe, The Chronicles of Narnia: Prince Caspian and Halo 4: Forward Unto Dawn. She is also known for her role as "Lola" on the popular CW show, Reign.
William Moseley
William Peter Moseley was born on April 27, 1987, in Gloucester, England, to Juliette (Fleming) and Peter Moseley, a cinematographer. He is the eldest of three children with a younger sister named Daisy and and younger brother named Ben. His father's name is also William's middle name. He wanted to act since he was 10 years old...
Skandar Keynes
Skandar Amin Casper Keynes (born 5 September 1991) is an English actor best known for starring as Edmund Pevensie in the 2005 film adaptation of The Chronicles of Narnia: The Lion, the Witch and the Wardrobe. He returned in the role of Edmund in the film's sequels The Chronicles of Narnia: Prince Caspian, and The Chronicles of Narnia: The Voyage of the Dawn Treader...
Ben Barnes
British actor Benjamin Thomas Barnes was born in London, England, to Patricia (Becker), a relationship therapist, and Thomas Barnes, a professor of psychiatry. He has a brother, Jack. His mother is from South Africa, and is of Jewish heritage, while his father is English. Barnes studied at Homefield Preparatory and King's College...
Joey King
Actress, Independence Day: Resurgence
Joey King started acting professionally when she was four years old. A national spot for Life Cereal was Joey's first commercial. It has been said that Joey inherited the love of acting from her grandmother who used to perform in live theater. She has appeared in several television shows and movies of the week...
Daniel Radcliffe
Daniel Jacob Radcliffe was born on July 23, 1989 in Fulham, London, England, to casting agent Marcia Gresham (née Jacobson) and literary agent Alan Radcliffe. His father is from a Northern Irish Protestant background, while his mother was born in South Africa, to a Jewish family (from Lithuania, Poland...
Rupert Grint
Rupert Alexander Lloyd Grint was born in Harlow, Essex, England, the elder son of Joanne (Parsons) and Nigel Grint, who dealt in memorabilia. The first of 5 children, Rupert has one brother and 3 sisters. His brother James was born when Rupert was a year old, Georgina and Samantha were born in 1993 and 1996 respectively, and last, but not least, Charlotte, who was born in 1999...
Emma Watson
Emma Charlotte Duerre Watson was born in Paris, France, to English parents, Jacqueline Luesby and Chris Watson, both lawyers. She moved to Oxfordshire when she was five, where she attended the Dragon School. From the age of six, Emma knew that she wanted to be an actress and, for a number of years, she trained at the Oxford branch of Stagecoach Theatre Arts...
Lily Collins
Lily Jane Collins was born in Guildford, Surrey, England. Her father is English musician Phil Collins, while her mother, Jill Tavelman, who is from Los Angeles, California, was president of the Beverly Hills Women's Club for three terms. Lily moved with her mother to LA at the age of five, after her parents split up...
Dakota Goyo
Actor, Real Steel
Dakota Goyo was born in Toronto, Canada, to Debra Goyo, a former model and singer, and David Goyo. His siblings, Devon Goyo and Dallas Goyo, have also acted. He has Italian and Scottish ancestry. Goyo appeared in his first commercial as an infant. His television debut came at the age of 5 in the CBS pilot "Ultra" (2006)...
Will Poulter
Actor, The Revenant
Will Poulter is an English actor, recognized for his performances as Lee Carter in Son of Rambow, Eustace Scrubb in The Chronicles of Narnia: The Voyage of the Dawn Treader, and Kenny Rossmore in We're the Millers. Will was born in Hammersmith, London, the son of Caroline (Barrah), a nurse, and Neil Poulter, a professor of cardiology. His mother was raised in an Anglo family in Kenya...
Kieran Culkin
Actor, Scott Pilgrim vs. the World
Kieran Kyle Culkin was born September 30, 1982 in New York City, New York. He is the son of Christopher Culkin, a former stage and child actor, and Patricia Brentrup. He is the brother of Shane Culkin, Dakota Culkin, Macaulay Culkin, Quinn Culkin, Christian Culkin, and Rory Culkin. His mother...
Thomas Horn
Thomas was born in 1997, the elder of two boys, to physician parents. Raised in San Francisco, when he was in the sixth grade he entered the National Geographic Geography Bee, coming third and was also placed in the top four on two further occasions. Prior to his film debut his only acting experience had been as the old Grasshopper in a school production of 'James and the Giant Peach'...
Jeremy Irvine
Actor, War Horse
Jeremy Irvine is an English stage and screen actor. He was born Jeremy William Fredric Smith in Gamlingay, Cambridgeshire, England, to Bridget (Glockling), a local politician, and Christopher Fredric Smith, an engineer. His stage surname, "Irvine", was his grandfather's first name. He attended one year...
Rachel Hendrix
Actress, October Baby
Born and raised in Alabama, Hendrix is an award-winning film actress known for her break-out role in the indie drama OCTOBER BABY. She was introduced to filmmaker Kris Kimlin (cinematographer of Mom's Night Out, Coffee Shop, Woodlawn) while studying photography at the University of Montevallo. After accepting his offer for a lead role in his first short film "Letting Go"...
Alison Lohman
Actress, Drag Me to Hell
Alison Lohman was born in Palm Springs, California, to Diane (Dunham), a patisserie owner, and Gary Lohman, an architect. Her ancestry includes English, German, and Scottish. She grew up in a family with no showbiz connections but she always wanted to perform. By age 9, she had landed her first professional...
CJ Adams
Actor, Godzilla
Cameron John "CJ" Adams, was born and raised in Rhode Island on April 6, 2000, to Donna and Matt Adams. His father is an author, golf expert and host of a show on SiriusXM satellite radio. CJ is best known for his role as Timothy Green in the 2012 film The Odd Life of Timothy Green, which earned him...
Elle Fanning
Actress, Maleficent
Mary Elle Fanning was born on the 9th of April 1998 in Conyers, Georgia, USA, to Heather Joy (Arrington) and Steven J. Fanning. Her mother played professional tennis, and her father, now an electronics salesman, played minor league baseball. She is of German, Irish, English, French, and Channel Islander descent...
Joel Courtney
Actor, Super 8
Joel was born in Monterey, California, and raised in Moscow, Idaho. His parents are both school teachers. He is the youngest of four children and has two older brothers (Caleb and Josh) and an older sister (Chantelle). At age 14, Joel went to visit his brother, Caleb, during summer vacation. His brother was pursuing an acting career in Los Angeles...
Juno Temple
Actress, The Dark Knight Rises
Juno was born in England into a showbiz family. Her mother is a producer, Amanda Temple, and her father is the film director, Julien Temple. She was named 'Juno' after her parents took a visit to the Grand Canyon, during pregnancy, and found they were standing on a butte of Cape Final known as Juno Temple. She has English and Scottish ancestry...
Evanna Lynch
Evanna Patricia Lynch is an Irish actress. Born in the town of Termonfeckin in Ireland, she is one of four children to Donal and Marguerite Lynch. Her acting career began in 2007 when she competed in an open audition against nearly 15,000 girls, and won the coveted role of Luna Lovegood in the "Harry Potter" movie franchise...
Logan Lerman
Logan was born in Beverly Hills, to a Jewish family. His parents are Lisa (Goldman), who works as his manager, and Larry Lerman, an orthotist and businessman. He has two siblings, Lindsey and Lucas, both older. His relatives operate the orthotics and prosthetics company Lerman & Son, which was founded by his great-grandfather, Jacob Lerman...
Bonnie Wright
Actress, Harry Potter and the Goblet of Fire
Bonnie Francesca Wright was born on February 17, 1991 to jewelers Gary Wright and Sheila Teague. Her debut performance was in Harry Potter and the Sorcerer's Stone as Ron Weasley's little sister Ginny Weasley. Bonnie tried out for the film due to her older brother Lewis mentioning she reminded him of Ginny. Her role in the first film was a small cameo like role as Ginny...
Jessie Cave
Jessie Cave studied Illustration and Animation at Kingston University, London, and worked backstage in various theatres before deciding to pursue acting. She got a place at RADA to study Stage Management, but after watching some actors in rehearsal rooms she changed her mind and applied to drama school. She was ready to go to The Oxford School of Drama when she got the part in Harry Potter.
Tom Felton
Tom Felton was born in Epsom, Surrey, to Sharon and Peter Felton. He has been acting since he was 8 years old at the suggestion of an actress friend of his family who recognized Felton's theatrical qualities. Felton met with an agent, and two weeks later, after auditioning with over 400 other children, he landed an international commercial campaign and went abroad to work...
Jared Gilman
Actor, Moonrise Kingdom
A resident of South Orange, New Jersey, Gilman has attended Newark Academy. He is on his school's cross-country running and fencing teams and he enjoys golf. Gilman had his Bar Mitzvah in 2012. When eleven or twelve years old, he got the co-starring role of Sam Shakusky in Wes Anderson's 'Moonrise Kingdom'...
Kara Hayward
Actress, Moonrise Kingdom
Kara Hayward was born to John and Karen Hayward on November 17, 1998 in Massachusetts. She is the older of two children. She acted in her first play during summer camp, discovering a passion for acting. Later she was discovered at an open call, landing her first movie role,in Wes Anderson's Moonrise Kingdom,.and...
Isabelle Allen
Actress, Les Misérables
Just one year ago, young Isabelle Allen was acting in a school play (as a boy, no less). Today, she's the featured co-star of Hugh Jackman, Russell Crowe and Anne Hathaway in director Tom Hooper's big-screen adaptation of one of the longest-running musical in history, "Les Miserables." The ten-year-old Allen plays the younger version of Cosette...
Samantha Barks
Actress, Les Misérables
Samantha Barks was born in Laxey, Isle of Man (British Isles) in 1990. She is a British actress best known for the role of Éponine in Les Misérables. In 2008, Samantha competed in I'd Do Anything in which she was one of the finalists in a search for a new, unknown lead to play Nancy in a West End revival of the British musical Oliver!...
Eddie Redmayne
Actor, The Theory of Everything
British actor Eddie Redmayne is the first, and thus far only, millennial male to have won an acting Oscar (for The Theory of Everything). Edward John David Redmayne was born and raised in London, England, the son of Patricia (Burke) and Richard Charles Tunstall Redmayne, a businessman. His great-grandfather was Sir Richard Augustine Studdert Redmayne...


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Timmy and the Snow Monster
Written by
Illustrated by
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Timmy and the Snow Monster byJoin Timmy and his friends at nursery for a snowy adventure! It looks like something scary might be lurking in the snow, but what could it really be?
About the Author
Other Formats
Book Info
32 pages
Interest Age: From 2
Egmont Books Ltd an imprint of Egmont UK Ltd
Publication date
5th September 2011
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|Message view
|« Date » · « Thread »
|« Date » · « Thread »
|"Gerald Richter" <rich...@ecos.de>
|RE: Disabling modified checks on templates
|Tue, 20 Dec 2005 20:58:23 GMT
> > Anybody know how to tell EmbPerl to not check to see if a > template has changed? I'm doing some performance tuning and > trying to reduce the number of disk-accesses. > Currently there is no such option, but it's on my TODO list to make some optimization in this direction > > ...which includes the 524288 value, which is supposed to set > optKeepSrcInMemory. I can also print the value of > $optKeepSrcInMemory in my page and see that it is set to 1, > but if I modify a page, the changes are reflected upon > reload, without restarting the server. EmbPerl must be > checking the disk to detect the change. > This option does not really make sense anymore in Embperl 2. I guess I have to clean up the docs. Gerald ** Virus checked by BB-5000 Mailfilter ** --------------------------------------------------------------------- To unsubscribe, e-mail: email@example.com For additional commands, e-mail: firstname.lastname@example.com
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S201L-402P 4" Dial Glycerin Filled Industrial Bottom Mount Pressure Gauge
Sorry, this item is no longer available.
Search our site to find another great deal. But hurry! With our low prices, we sell out fast!
Please note: BLINQ sells products in multiple conditions (new, open box, refurbished, etc). Not all reviews are reflective of the condition that you may purchase.
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- Features
- Stainless Steel Case and Bezel
- Brass Internals and Connection (with built in snubber)
- Phosphor Bronze Bourdon Tube
- Liquid Filled
- Plastic Lens
- Description
- An inexpensive utility gauge for the broad commercial and industrial markets. Suitable for air, water, oil, gas or any other media not corrosive to brass.
- Specs
- Maximum Measurement: 0-3000 psi
- Material Type: Stainless Steel Case and Bezel
- Measurement Accuracy: 1 percent
- Number of Items: 1
- Outside Diameter: 4 inches
- Range: 0-3000 psi
- Size: 0-3000 psi
- Temperature Range: 30/160 Degrees Fahrenheit
- Brand
- PIC Gauge
- Model
- Part
- Pressure Gauge
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How BLINQ Works
- Retailer needs to move overstock, open box & refurbished inventory.
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What Happens When Brands Swap Colors
Brazilian graphic designer Paula Rupolo has taken iconic logos and swapped them with other companies highlighting the importance of color in branding, marketing, and logo design. We know that color is the first thing that people see followed by shape then numbers and words. Because we are so used to seeing these logos, it's fascinating too see how this tricks our brains and in some cases it may take a second to re-visualize the original logo in its original color.


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Wood Bottom Plates and bolting to wood or concrete[Subject Prev][Subject Next][Thread Prev][Thread Next]
- To: SEAINT <seaint(--nospam--at)seaint.org>
- Subject: Wood Bottom Plates and bolting to wood or concrete
- From: David B Merrick <mrkgp(--nospam--at)pacbell.net>
- Date: Wed, 14 Nov 2001 13:14:47 -0800
For IBC 2305.3.10, the washers are only required for 2x material at the sill plate. A sill plate is a "bottom plate" at the concrete foundation. A ?sole?, is also a "bottom plate" higher up in the framing. The last sentence of IBC 2305.3.10 references nailing of a sill to line 8 of table 2304.9.1. Tabulated line 8 uses the term "sole". The IBC disregards the difference in meanings of the terms ?sill? and ?sole?. The term "bottom plate" can be used when both ?sill? and ?sole? apply. Most likely, the table needs the term "sole" changed to "bottom plate", or else the larger washers applies to all bottom plates of 2x material. Don't forget ?Seismic Cat. D or E? 2308.12.8 all sill plate require the washers with minimum dimensions of 2x2x3/16. There is no mention of the size of the sill and so it applies to all sills. This is clearly not for sole plates. A clarification that sole plates are exempt would be helpful. I was alerted to a fact that sole plate pressure treatments that appear to be of a light green color with shallow cuts for penetration are sole plates of Hem-Fir. Pressure treated Doug Fir is more of a chocolate color with deeper cuts. The deeper cuts are needed for the harder material. This reduces the bolting values by about 9 to 11% and the nailing by 7%. It appears from the discussions, that we had better not be using the bolt tables until corrected or verified. An alternate mental experiment for a mode II failure of a wood to concrete connection is to rotate the large bolt to the angle required to fail the concrete. That amount of rotation is much less than the rotation required to fail the wood (rotation only). This is an insignificant addition to the wood strain for its possible failure. The wood bearing stress distribution might be mostly uniform. I recommend checking mode II for wood to concrete. If we are to disregard mode II for wood to concrete, there needs to be an addendum or a review of test results. Is there testing for mode II for wood to concrete? David Merrick, SE mrkgp(--nospam--at)pacbell.net. ******* ****** ******* ******** ******* ******* ******* *** * Read list FAQ at: http://www.seaint.org/list_FAQ.asp * * This email was sent to you via Structural Engineers * Association of Southern California (SEAOSC) server. To * subscribe (no fee) or UnSubscribe, please go to: * * http://www.seaint.org/sealist1.asp * * Questions to seaint-ad(--nospam--at)seaint.org. Remember, any email you * send to the list is public domain and may be re-posted * without your permission. Make sure you visit our web * site at: http://www.seaint.org ******* ****** ****** ****** ******* ****** ****** ********
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