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The Centre for Criminology, in collaboration with the Welsh Centre for Crime and Social Justice (WCCSJ), ran an online seminar on 17th September 2020 entitled 'Lessons from the Lockdown: Prisoner and Family Connections for the Future'.
The seminar was chaired by Professor Mike Maguire and attended by over 50 academics, policy-makers and practitioners, including prison governors and senior civil servants.
Speakers included front-line staff from male and female prisons and a secure children's home, together with family development experts Professor Julie Poehlmann-Tynan and Elizabeth Skora Horgan from the University of Wisconsin-Madison; Corin Morgan-Armstrong, Head of Family Services in HMP Parc; and David Richmond, Head of Youth Custody Services, Wales.
The aims of the seminar were to explore how the lockdown has affected contact between prisoners and their children and families, what has been done to cope with the situation, what has worked well and not so well, and what lessons might be drawn for the future.
Speakers considered whether some of the measures introduced might have a lasting effect on practice: in particular, whether online 'in home video chat' for prisoners and their children could be developed further as an enhancement – or even in some cases an alternative – to prison visits.
The seminar adapted WCCSJ's 'trialogue' format, based around brief contributions from speakers from academia, policy and practice, followed by open discussion to exchange knowledge and compare their different perspectives.
The event was felt to be very successful, and Professors Kate Williams and Katy Holloway plan to hold similar seminars on issues around youth justice and substance misuse in the near future.


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Senior Portraits in Birch Bay, WA
October 30, 2016 , Seniors
Adam and Casey are twins and had their senior portraits done together at the beach near their house in Birch Bay. They lucked out with beautiful late afternoon weather in the middle of a rainy week. I'm glad the weather cooperated so well, because there were incredible views of Mt. Baker and the Cascades in one direction and the San Juan islands in the other. Thanks guys.
[tg_masonry_gallery gallery_id="8692″ layout="wide" columns="1″]

subset: commoncrawl


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One comment for "Sometimes, always, never?"
Years ago, I was a junk dealer. I had a shop in Newcastle. My business partner and my partner used to drive around in a ute, checking out council clean-ups picking up old furniture that had been left behind. We figured we were saving it from the tip…and we probably were. Anyway, we found some amazing things!
One time, they got a job emptying a derelict house. The house was full of treasure, including a double brass and iron bed, still set up, sagging with a really rotten mattress. They folded the mattress over, took a corner in each hand, and lugged it out to ute. Without putting it down, they swung it out and over, into the tray. The mattress flopped open to reveal the wizzened body of a curled up little old woman. She had been asleep the whole time.
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Don't watch if you're sensitive to strobes, but otherwise check out these interesting periodic patterns which appear in strobe-lit materials excited by sound waves.
Trippy science!
• Mystical Art of Strobe Cymatics
Don't watch if you're sensitive to strobes, but otherwise check out these interesting periodic patterns which appear in strobe-lit materials excited by sound waves.
Trippy science!
• Mystical Art of Strobe Cymatics
The National Science Foundation announced that it will decommission and demolish the iconic Arecibo radio telescope in Puerto Rico. This comes after two cables suspending the telescope's 900-ton receiver platform above its massive dish broke while others are weakening. Completed in 1963, the Arecibo Observatory has been a key instrument in the development of radio… READ THE REST
A paper out of Oxford University, "Video game play is positively correlated with well-being", reports that playing video games makes you happy. The study tracked 518 players of Plants vs. Zombies: Battle for Neighborville and 2,756 players of Animal Crossing: New Horizons. Key findings include: • Actual amount of time spent playing was a small… READ THE REST
"Our couch was the front line and our patience was our weapon." Absolutely amazing coronavirus 'stay at home' spot from the German government, above. You might not think of humor as an effective way to drive home the message that staying at home helps slow the spread of COVID-19. But that's what's most amazing about… READ THE REST
How many years has everyone been screaming about password security? Yet, even with all of the warnings, NordPass recently dropped the list of the most common passwords of 2020. And they're the same embarrassing assortment we see every year. The top 5 were: 123456, 123456789, picture1, 12345678, and the perennial favorite–password…sigh. You're obviously not one of… READ THE REST
Considering how 2020 has played out, it feels like making resolutions about what you hope for in 2021 is a little underwhelming. Under the circumstances, you may need something a little stronger than a simple New Year's Eve promise to achieve your goals. If your job situation isn't the greatest right now, consider this: starting… READ THE REST
The average lighter is about as simple an idea as you'll find anywhere. Push a button and get a flame through the top. Unfortunately, simple ideas are often confronted with challenges. One of these challenges could be trying to light something you can't reach from underneath, like a candle. With a standard lighter, that means… READ THE REST


text: ricer1 215 Report post Posted July 21 Has anyone used their EZ Pass transponder for the turnpike tolls and had success mounting the device. I have used it in the past by taking it out of my pocket and it was hit & miss, most times I had to go to the toll booth and give the transponder to the person at the booth to enter the ID number in the system. Let me know your experiences with mounting locations, thanks in advance for responses. BTW, I have a Sun Pass in Florida and once I had ONE transponder I went on line, created an account to add any other vehicle license plate numbers. Each time I pass a toll station they snap a photo of the license plate, crosscheck the license plate and deduct the toll from my account attached to my credit card. When friends rent bikes I enter their license plate number on my Sun Pass account, with a start and end date, same crosschecking process. The Ohio Turnpike commission told me they are years from having a system in place to perform like Sun Pass. Quote Share this post Link to post Share on other sites


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Assessment of Levee Erosion Using Image Processing and Contextual Cueing
Received Date: Jul 13, 2018 / Accepted Date: Jul 23, 2018 / Published Date: Jul 30, 2018
Soil erosion is one of the most severe land degradation problems afflicting many parts of the world where topography of the land is relatively steep. Due to inaccessibility to steep terrain, such as slopes in levees and forested mountains, advanced data processing techniques can be used to identify and assess high risk erosion zones. Unlike existing methods that require human observations, which can be expensive and error-prone, the proposed approach uses a fully automated algorithm to indicate when an area is at risk of erosion; this is accomplished by processing Landsat and aerial images taken using drones. In this paper the image processing algorithm is presented, which can be used to identify the scene of an image by classifying it in one of six categories: levee, mountain, forest, degraded forest, cropland, grassland or orchard. This paper focuses on automatic scene detection using global features with local representations to show the gradient structure of an image. The output of this work counts as a contextual cueing and can be used in erosion assessment, which can be used to predict erosion risks in levees. We also discuss the environmental implications of deferred erosion control in levees.
Keywords: Contextual cueing; Machine learning; Soil erosion; Erosion control; Image processing
Soil erosion is defined as a displacement of solid particles originating from soil, rock, and other sediments. Soil is naturally removed by the effect of water, wind, ice, and/or by downward (or down-slope) movement caused by gravity [1]. Water caused erosion is particularly detrimental. This type of erosion involves three steps: detachment, transport, and deposition. Detachment involves dislodging of soil particles as raindrops impact on the ground surface; transport involves transporting these dislodged particles down the surface by gravity or in a water stream; and deposition happens when particles come to a stop. Based on geometry, erosion is classified as: sheet when a soil layer erodes uniformly; rill when soil movement forms small channels; gully when channels cut deep into the soil by running water; and streambank when scouring action of fast moving water removes sediment from sides and bottom of streams and rivers. All of these can be controlled with physical barriers (vegetation or rock) to dissipate some of the energy from raindrop impact and water flow.
Erosion is one of the most severe land degradation problems afflicting many parts of the world where topography of the land is relatively steep, such as levees. Evaluating the risk for erosion of most levees is exceedingly difficult because of their vast lengths (there are thousands of miles of levees in the USA); and thus, go unchecked. Levees are critical infrastructure systems intended to protect farmland, towns, and cities from flooding. Also, uncontrolled soil erosion usually causes severe damage to the surrounding environment, particularly degradation of water quality of creeks, rivers, and lakes. This happens as siltation (pollution of water by silt and clay soil particles), which is undesirable because of the high concentration of suspended sediments in waterways, and an increased accumulation of sediments at the bottom of reservoirs (both natural and manmade). Siltation also adversely affects aquatic life. To mitigate the effects of this pollution, advanced data processing techniques can be used to identify and predict high risk zones at specific sites; after which a proper erosion control program can be developed and deployed. From an economic standpoint, it is more cost-effective to deploy erosion control than to implement cleanup programs.
The research on automating erosion detection is new and not much work has been done in using content-based image processing in detecting erosion in levee sites. However, research has been done in using Landsat and aerial images to detect characteristics of land. In Dewan et al. [2] using Landsat data to quantify channel characteristics of the Ganges system. They were able to examine the changes before and after diversion. In Yao et al. [3] aerial photos were used to create topographic maps to study bank erosion and accretion in Mongolia reaches of China's Yellow River. The images were compared from 1958 to 2008 and it was concluded that erosion in this area was much greater than to those of similar size. Kummu et al. [4] studied the river changes to Mekong River from years 1961 to 1992. Recent work in this area include detecting changes to river beds using morphodynamic modeling [5], Landsat and stratigraphic records [6] and using Landsat images in a MCC approach to detect directional changes [6]. These works show that analyzing river changes and detecting bank erosion and accretion is very time consuming and there is need for a way to automate the process.
Content-based image retrieval (CBIR) uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index an image. In typical CBIR systems, multi-dimensional feature vectors are used to describe the visual contents of images in a database. The most widely used features for color are mean, median, and standard deviation of red, green, and blue channels of color histograms; and for texture features are contrast, energy, correlation, and homogeneity. In this paper, a system is developed to combine global features with local representations to show the gradient structure of an image [7]. Scene detection is part of CBIR systems, and is an important section in semantic analyses of images. By specifying the scene, global information of an image is extracted that can help different processes in CBIR, video segmenting, indexing, and annotating.
This type of research typically has focused on one of the two areas: 1) identifying the scene by taking into consideration the type of objects it contains, and 2) looking to identify important elements of an image and use these to detect and categorize the type of scene. For example, by detecting relatively smooth slopes in the aerial image shown in Figure 1 the scene can be classified as a levee. However, it is more useful to follow the second approach where the goal is to select global features to identify the scene; that is, viewing the entire image and using that information for the system to classify the scene of the image. In this paper the goal is to present a computer algorithm that combines the two approaches by generating local gradients and global color and texture features to identify the scene of an image. The algorithm presented in this paper can be used to process aerial images of levees that may be taken using aerial drones (Figure 1).
Literature Review
In the United States, the US Army Corps of Engineers (USACE) is responsible for providing agencies responsible for levee safety with guidelines to assess the safety of levees, which include over 2500 nationwide [8]. The primary methods used for soil erosion detection rely on labor intensive, time consuming, and expensive approaches. Recently, researchers are starting to incorporate different data and image processing techniques to automate this process, but it can still require time-consuming human analysis after the preprocessing phase. Choung [9] used LiDAR data and multispectral orthoimages to identify the surfaces of various levee components schematically shown in Figure 1; particularly the slope, crown, and berm. This approach was also proposed as a procedure to identify eroded areas; however, it was only used to identify the levee components.
Regardless of application, erosion quantification methods can be classified into three categories: point based, profile based, or volume related [10]. Point based measurements are mostly implemented by measuring the change in surface level via pegs that are inserted into the soil. Profile based methods are based on manual measurements via stakes that are lowered from an upper girder. Volumetric measurements are mainly based on integration of volume from profiles, or by standard leveling techniques.
Sanyal [5] presented an autonomous model to estimate the volume of raised beds to estimate erosion based on terrestrial photogrammetry. Their research is a combination of field related work along with a high level of automation, which leads to an effective solution for configurational analysis as a basis for estimating erosion. Iranmanesh et al. [11] presented a model to establish the most convenient method to study changes of the gully erosion process and features as well as their changes in length and area through time. They used image fusion, filter and principal component analysis (PCA) to compare the ground data with the image interpretation data to specify the morphometric characteristics of the selected gullies.
For scene recognition the current state-of-the-art approaches consist of studies that represent scenes with global features measuring color histogram parameters, orientations and scales of images, and considering general information about the images. By using the local low-level feature detectors across large regions of the visual field, global feature inputs are estimated, and the scene can be classified based on a feature vector. Mulhem et al. [12] presented a novel variation of fuzzy conceptual graphs for use in scene classification. In the modeling presented by Oliva and Torralba [13], they only considered global features of receptive fields measuring orientations and spatial frequencies of image components that have a spatial resolution ranging from 1 to 8 cycles/image.
Lipston's approach, which is called configural recognition, uses relative spatial and color relationships between pixels in low-resolution images to match the images with class models [14]. The Blobworld system [15] was developed primarily for content-based indexing and retrieval but is also used for scene classification.
Many researchers have suggested various approaches for detecting semantic objects, including sky, snow, rock, water, and forest for recognizing a scene [16]. In another work, researchers proposed a scene recognition model for indoor spaces. In their method, images that contain similar objects are classified in the same scene class [17].
Feature Vector
All scene classifying systems extract appropriate features and use a type of learning approach or pattern recognition engine to categorize an image. Our approach is to understand gist based methods on scenecentered, rather than object-centered primitives. Global features are based on configurations of spatial scales and are estimated without invoking segmentation or grouping operations. By relying on low level feature detectors across large regions of the visual field, we can build a holistic and low dimensional representation of the structure of the scene. We use a framework of low-level features (multi-scale Gabor filters and color histogram), coupled with supervised learning to estimate the label for a scene.
Texture features
Texture is a set of metrics for characterizing images along dimension of coarseness, contrast, directionality, likeliness, regularity, and roughness [18]. Texture gives us information about the spatial arrangement of intensities in an image. There are three approaches to calculate image texture features: structured, statistical approaches, and multichannel Gabor decomposition.
An important approach to extract texture features is using wavelet transforms, which refer to a process of decomposing a signal with a family of basis functions. Basically, Gabor filters are a group of wavelets, with each wavelet capturing energy at a specific frequency and a specific direction [19]. The Gabor features minimize the joined two-dimensional uncertainty in space and frequency. Gabor filters have been used in image applications such as texture classification, object recognition, segmentation, content-based image retrieval and motion tracking.
Four scales and six orientations are needed for Gabor-filter image processing. The mean and the standard deviation of the filtered images are used as features. A case study by Li et al. [20] evaluated the performance of texture descriptors using sample images of rocks. In their study, the authors found that Gabor filters outperformed other texture descriptors. By applying the Gabor filters to a given image, a set of filtered images are produced. Each of the filters estimates the energy along a specific frequency and orientation of the input signal. The mean and the standard deviation of the filtered images are used as features [21].
The discrete Gabor wavelet transform for a given image, I(x, y) is obtained by convolution using the following relationship [22]:
s and t are filter mask size variables,
Ψ*mn is the complex conjugate of mn Ψmn , which is a class of selfsimilar functions generated from dilation and rotation of the following mother wavelet:
W is a modulation frequency.
The self-similar Gabor wavelets are obtained using the following relationship:
m=0, 1,…, M–1 specifies the scale
n=0, 1,…, N–1 specifies the orientation of the wavelet
M is the number of scales
N is the number of orientations
a is greater than 1, and represents a scale factor and is dependent on the higher center frequency and lower center frequency of interest θ = nπ / N.
After applying the Gabor filters on an image, an array of magnitudes is obtained. This contains the means and standard deviations that represent the texture feature components. Texture features are extracted using the Gabor filters. These filters use scales and orientations to provide additional views of a specific image. The total number of filters used on the image is equal the product of S and K (S*K); where, S represents the total number of scales and K represents the number of orientations. The texture feature vector for the image is constructed from the means and standard deviations obtained from each of the S*K views produced by the Gabor filters [19]. Figure 2 shows the optimal Gabor filters using Fisher's linear discriminant (FLD) measure.
For this case, four scales and six orientations can be used. Different combinations have been tested and the parameters with the optimal results were chosen. A total of 24 views are used, which result in 24 means and 24 standard deviations for each sub-image. In the feature vector, the first 48 components are the texture features.
Color features
Color is an important dimension of human visual perception as it helps to recognize and discriminate visual content. Color features have been found to be effective for indexing and searching for color images, and these features can be extracted and matched easily [23]. The most common color metric used in the literature is the color histogram.
Each histogram bin is represented by a range of colors and the color histogram represents the coarse distribution of the colors in the image [24]. So, if two colors are in the same bin they are treated as similar colors. On the other hand, if two colors are in different bins they are considered different, even if they might be very similar to each other. By mapping the image to an appropriate color space, quantizing the mapped image and then counting the occurrence of each color, the color histogram for the image can be obtained.
By using the color histogram, similarity of color features can be specified by counting the color intensities. Any color could be reproduced by combining the three primary colors: red (R), green (G), and blue (B). Therefore, these three colors represent colors as vectors in 3D RGB color space. A color descriptor metric, such as the histogram, provides a way to quantify the similarity of color features in images by counting the color intensities. In general, a color image has three layers (R, G, and B); therefore, three color histograms with twelve bins being calculated for each sub-image. Thus, the next 36 features in the feature vector are related to color features.
Histogram of gradient (HOG)
Histogram of gradient representation (HOG) is used for capturing gradient structure. HOG computes gradients in regions and puts them in bins according to orientation [25]. HOG also computes the discretized gradients using 1-D centered point discrete derivative mask in both the horizontal and vertical directions. The vectors are given as,
The region is then segmented into eight by eight cells. For each cell, a histogram of gradients is computed. For each pixel, a vote is cast that is weighted by the gradient magnitude and orientation. Each vote is cast toward a certain gradient orientation range corresponding to a bin in the histogram. The number of bins is 36 for each cell. Finally, each histogram is contrast normalized over spatial neighbors.
For each image after normalizing color, the indirect gradient is extracted for each cell. Each pixel within the cell votes for an oriented based histogram bin based on the values found in the gradient computation. For each cell, 36 bins are specified. In this case, after decomposing an image into 24 × 24 pixels cell, HOG dimension is 3500. Figure 3 shows the HOG representation of images from levee, grassland and mountain.
A set of features consisting of local gradients and global color and texture features are extracted, which are used for scene recognition. Figure 4 shows the overview of this fully automated framework for identifying the scene of the image. For those images that were classified as levee the second phase is used to detect soil erosion.
Analysis methodology
The objective of this work is to be able to classify the scene of an image using a set of training data. The image dataset, which is being used in this study, consists of images related to scenes where erosion can happen, such as along a levee. For this paper, a case study area was selected in the California central valley. 120 images were captured using drone aerial photography from scales that range from 2-5 meters from the ground. The images can be classified in six different scenes: levees, mountains, forest, degraded forest, grassland, or orchard. For evaluation purposes, the dataset is divided into training and testing; and different classification methods such as SVM, Naïve Bayes, Decision Trees, and Bootstrap Aggregation are used to perform the analysis.
A feature vector is extracted for each image. This feature vector is a combination of texture, color, and HOG features. Waikato Environment for Knowledge Analysis (WEKA) [26] will be used to apply classification methods, such as Naïve Bayes, Support Vector Machines, and Decision Trees. WEKA is a machine learning software with a collection of machine learning algorithms for data mining tasks. After the features have been extracted, a model is trained to detect the scene of each image. In the classification process, LibSVM, Decision Tree, Naïve Bayes, and Bootstrap Aggregation classifiers are used.
As discussed before, there are six scene classes: levee slope, mountains, forest, degraded forest, grassland, or orchard. For evaluation, the corpus will be divided into two sections: one section for training purposes and the other section for testing purposes. The training set consists of 80% of the corpus and testing consists of the remaining 20%. 10-Fold cross validation will be performed to increase the accuracy of the result.
In the second phase of this ongoing study after the scene of the image has been detected, the image is fed into a second image processing algorithm to detect erosion. The process entails using levee site photographs from before and after a rain event, or from a regular scheduled survey. The photographs can then be processed to determine the extent of change in surface texture. When certain benchmarks have been exceeded, mitigation work can be ordered to avoid catastrophic erosion, or excessive siltation that can lead to costly cleanups of the waterway; or in some cases, rain water might have to be discharged to nearby waterways resulting in costly flooding and environmental cleanups. The main goal of the work presented in this paper is to provide an overview of an algorithm that can be used to identify erosion problems along levees before they have adverse impacts on the environment; thus, avoiding costly flooding and cleanups that result from delayed erosion control.
In the first phase of this study the image is classified into the following six scene classes: levee slope, mountains, forest, degraded forest, cropland, grassland or orchard. For each image a set of features consisting local gradients and global color and texture features are extracted and used to detect the scene. Table 1 shows the classification results (Tables 1 and 2).
|Scene Class
|Levee slope
|Degraded forest
Table 1: Classification results.
|Classified as Actual class
|Levee slope
|Degraded forest
|Levee slope
|Degraded forest
Table 2: Confusion matrix.
By looking at the result and the confusion matrix, it can be seen that forest and degraded forest tend to get misclassified. Since we are using global images for each scene and the features consist of color and texture features, images with the same correlation, contrast, homogeneity, and same range of colors tend to be classified in the same category.
In the next phase, the images that were classified as levee site will be fed into another image processing algorithm to detect erosion. The algorithm is used to detect any major changes in surface texture by calculating the erosion surface area. Figure 5 shows the feature output of our erosion detection algorithm. In cases where before and after photos were available the algorithm generates all the erosion lines and compares the difference between width, height and number of lines. Any major changes are labeled as erosion.
Conclusions and Future Work
In this paper, we presented a two phase image processing algorithm that first detects the scene of the image and classifies it into 6 predefined classes. In the second phase of the algorithm, soil erosion is detected along a levee by generating global features along with local gradients and using supervised classification methods. Most erosion detection algorithms available require human observations and manual work, which is time consuming and error-prone. Other algorithms consist of a combination of field related work along with a high level of automation. What distinguishes the approach outlined in this paper with the state-of-the-art methods is the fact that the proposed methodology is fully automated and can detect areas highly prone to soil erosion from Landsat and aerial images taken using areal drones.
In this method the scene of the image is detected, which will help narrow the search space. The image processing model proposed can be used at a preprocessing stage to detect soil erosion along levees and avoid costly flooding and cleanups from delayed erosion control.
Quantifying erosion can be done using Terrestrial Laser Scanning (TSL). This method is widely used in geosciences but has some limitations in erosion detection. These limitations include accuracy of measurements and instability of the references used on steep slopes with near vertical viewing direction, on very small plots, or at locations where erosion magnitudes are very large. For the next phase of our study we are planning to use an emerging new equipment, Light Detection and Ranging (LIDAR). The scanner integrates a GPS receiver able to correlate individual scans and snitch them with accuracy up to ± 1 mm, with a 350-meter range.
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Citation: Khazaeli M, Javadpour L, Estrada H, Takbiri-Borujeni A (2018) Assessment of Levee Erosion Using Image Processing and Contextual Cueing. J Ecosys Ecograph 8: 255.
Copyright: © 2018 Khazaeli M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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When you are looking for a new internet service provider, you may have several companies that cover your area. Evaluating the companies and what they can provide you is a good place to start but don't be afraid to ask people that use the provider about the quality of it.
Internet Speeds
If you need a specific internet speed, talk to the companies that cover your area and see what they offer. Many providers advertise specific speeds, but they do not tell you about data caps and throttled connections if you are using too much bandwidth. Ask the provider about any of these questions before you sign up, so you don't have any surprises when the bill arrives.
Package Pricing
Another thing you may need to think about is whether or not you need more than the internet. You may want to talk to the provider and see if they offer other services that they can bundle into a package for you. Keep in mind that the package should be a better deal than the services alone, or there is not much reason to go with a package deal. Each provider will more than likely offer something different, so talk to each potential provider about what you need and see what they can offer you.
Internet Types
The standard internet service coming into most homes and businesses has been coaxial cable transmission lines. While the coaxial cable is dependable, it can not support the super-fast internet speeds people are demanding these days. Many service providers are beginning to offer fiber-optic lines that carry the signal through thin glass lines using light. The result is extremely fast internet, but if the line the brings the internet connection to your neighborhood is coaxial cable, converting it to fiber optic is great as it enters the neighborhood. However, it will cause a bottleneck, and the speed will not be as fast as it should be. So, while fiber is good, don't be confused. It too can have limitations in speed.
Ask about that if the providers tell you they offer fiber. Where does the fiber start and what are the real speeds? In most cases, the speed advertised and the real speed of the connection are not going to be the same because the speed is affected by the amount of people on the service in your area. With enough traffic in one neighborhood, the connection can slow down significantly.
For more information about internet on demand, contact your local providers.Share


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I think if I hear the term "work/ life balance" one more time, I might puke. Those two words get bounced around more than Miley Cyrus' butt cheeks at a twerking contest (awesome visual, huh?!). Anyone with a business and a family and a real life know that work/ life balance doesn't exist.
It just doesn't.
I, of course, have used the term (as I'm sure you have) because everyone knows what you mean when you say it. But you're typically talking about the misery in trying to achieve it because it's an impossible feat and it's just sad. Really sad.
I was talking to a colleague about this very topic some time ago and she introduced me to a brilliant alternative that makes so much more damn sense -- it's called work/life INTEGRATION.
Ahh, now that feels better doesn't it?
Balance reminds me of that dude at the circus, trying to keep all of his plates spinning in the air at one time. It's terrifying to watch, because you're afraid that one or more will come crashing to the ground at any moment. It's more terrifying to try to live it.
Integration, to me, means your folding things into your day together, like ingredients in a recipe (I guess... I fucking hate to cook so I think that's how it goes?).
Sometimes you'll have more flour in the recipe (or work events), sometimes you'll have more nuts (duh... family stuff), but in the end, it all just kinda works out. There's no pressure for "balance"... or exact equal parts of ingredients, because no great recipe has a perfect balance of everything in it... like ever.
Life can be messy and cluttered and stupid some days and it can drive you fucking insane... let alone trying to BALANCE it all. That's like turning the oven up to 700 degrees and wondering why everything keeps burning.
Integration is the key.
Sometimes you're going to work your tail off for weeks on end when there's a big project or launch. Integrate some fun, some quality family time, some one on one partner time in there. Most importantly, integrate some "me" time in there. And know that balance will never happen and you'll never feel completely equal in all parts of your life because... well, it just doesn't work that way and you'll drive yourself batshit crazy trying to make it happen.
As long as you feel like your integrating those things that matter most to you as often as possible, you're fine.
P.S. I love Miley Cyrus
{Check out 5 easy ways to save you more time at www.amywright.biz}


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Uses for Compressed Air
October 30, 2018
Compressed air has a number of uses, more than you would imagine!
Compressed Air Uses
One of the main reasons air compressors are chosen instead of electrical equipment is because when equipment runs the risk over being overloaded, electricity poses a strong safety hazard whereas air compressors are a lot more secure. So let's have a look at some of the things they are used for in our daily lives:
There are many different purposes of compressed air that are convenient for household use, whether it be for fun and hobbies or maintenance and repair. Some examples include:
• Pumping up vehicle tyres
• Blowing up inflatable products like balloons or swimming pool accessories
• Pressure washers for cleaning surfaces and vehicles
Many businesses, from small to large, use compressed air as an energy source instead of electricity. They may use it for a range of things like powering equipment and tools to running a manufacturing operation. Some examples include:
• Sanding in a carpentry workshop or auto body repairs unit
• Powering many tools within the dental and medical services such as suction utensils
• Pneumatic drills, hammers, nail guns etc. for construction work
In an industrial workplace, compressed air is often seen as the fourth utility alongside electric, water and gas. It is widely used in the agricultural farming industry, as well as large manufacturing productions; some examples include:
• Spraying crops
• Running dairy machines
• Conveyor belts to transport feed and grain
• Operating automated machinery
• Packaging products with pneumatic devices
• Blowing moulded products, such as plastic bottles
As you can see, there are many uses of compressed air across many industries and households. Its flexibility and versatility makes it a popular choice throughout businesses and homes; if you require more information about our air compressors, please contact us today.


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Top 7 Things to do in Aruba
Top 7 Things to Do in Aruba (June 2018)
My wife and I are all about beach vacations. We got engaged at Laguna Beach in California, took a trip to Curacao last year and now decided it was time to experience the magic of Aruba. This was my favorite trip I've ever been on in my life. The phrase "one happy island" is definitely true in Aruba. The beach trip was relaxing, adventurous and beach filled. For me, a vacation needs a lot of adventurous and athletic components to it. I felt like we got that in Aruba. So here's my top 7 things to do in Aruba.
1.) UTV Excursions
I'm a big fan of taking excursions while on islands. It's generally a great way to learn about the island, see the whole island for yourself and have fun in the process. We took a 4-5 hour UTV excursion through De Palm Tours (the premier excursion group in Aruba). It was amazing to thrust the UTV into 4-wheel drive and off road it through their national park – Arikok. We did some amazing things – from swimming and snorkeling in a natural pool, to walking on the baby natural bridge, to seeing the black sand beach, the old gold mine ruins, and an old church. It was an amazing way to experience Aruba and there was plenty of adventure.
2.) The Beaches
Obviously, most people come to Aruba for the pristine beaches and they didn't disappoint. Overall, the water is very clear (although not as clear as Curacao). You really can't go wrong with any of the beaches. Find a beach, pop the sunscreen on and enjoy it.
3.) Horseback Riding Excursion
We took a 2-hour horseback riding excursion through Gold Mines Ranch. The team was great and helped the beginner or advanced horseback rider have an amazing time. You ride right near the ocean and have beautifully scenic views off the coast. This was only my second time on a horse and my wife's second. Although there were some moments where we didn't feel 100% in control of our horses (Barney and Picasso), the more we rode and got use to them, the more confident and seamless the ride got. We did a healthy bit of "trotting" on the horses. That was fun, but a little more challenging as the horses like to compete to be the fastest horse. WARNING: Our butts were super sore the next day since we're not accustomed to riding horses often. However, this was an amazing experience that you must do.
4.) Renaissance Island & Flamingo Beach
The Renaissance Resort & Casino is the only hotel on the island that has their own private island. We stayed at the Renaissance Resort, so we could experience the island without having to pay $100 a person (per day) to experience the island (that's assuming the island wasn't at capacity). There's a boat at the resort that takes you to the island every 15 minutes. It's a 10-15 minute boat ride to the island. When you arrive, the island is broken into two sections – Iguana Island (family friendly) and Flamingo Island (adult only). There's a restaurant on the island, gym, small store, bathrooms, and a rental spot. The big draw here is Flamingo island with 6 wild flamingos that live on the island. You can feed them, get your Instagram photos or just enjoy their presence. We spent a lot of time on the island swimming, snorkeling, laying in hammocks, taking pictures of the flamingos and enjoy the beauty. Definitely a must even if it's only for a day.
5.) Snorkeling
My wife is NOT into snorkeling at all. Because of this, I normally don't snorkel too far out since I'm normally flying solo. I try to keep with nearby snorkelers as a safety precaution. You're essentially exploring someone else's home without an invitation. It's always better to be safe than sorry. The snorkeling in Aruba was good, although I think Curacao is a better spot for this. I snorkeled in a couple places: Flamingo Island, the Natural Pool in Arikok, Arashi Beach (known for snorkeling) and Boca Catalina (also known for snorkeling and right next to Arashi). The highlight of my snorkeling experience was seeing a squid on the bottom of the ocean floor (Flamingo Beach). I also saw lots of schools of fish and a wider variety at Arashi and Boca Catalina.
6.) Seafood
I'll be honest. There were a lot of specific food places that I had researched prior to going and put on my list. However, we didn't get to any of them. We were busy with beaches, activities, and excursions, so we ended up opting to eat at spots in the hotel zone near the resorts (pricier and not as good). The food prices in Aruba surprised me as they were pricier than what I thought they'd be. But as a tourist location and island, it does make sense. We had some great grilled shrimp on the island, calamari, grouper, and lobster tails. Living in NYC, it's hard to impress me with food. Overall the food was standard, but pricey. However, I did enjoy having more seafood than usual.
7.) Shopping & Hotel Amenities
There are a lot of shopping centers and malls. Our resort was right next to a mall with 60+ stores. Across the street was a marketplace with numerous food options, a cinema and other items. We utilized these areas to walk around, explore, take in the Incredibles 2, get drinks and hang out.
Further, sometimes it's nice to use the hotel's amenities and take in the ambiance of your hotel. Reading by the pool, swimming at night after the sun went down, using the hotel gym, getting drinks at late night hotel pool bars, and ordering room service while watching tv were all some of my low key favorite parts of the trip.
Overall, it's a great island to explore. If you're from United States, this island is really simple to navigate and there's not a lot of planning that needs to go into your trip. Almost everyone on the island speaks English, they take U.S. currency, they drive on the same side of the road and are completely geared for tourists. It's a very safe island and is really easy to navigate as it's a small island (19 miles by 6 miles). I almost rented a car to explore as I felt that comfortable.
If you're looking to get away for a few days, I highly recommend Aruba!


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Top priced foals at the DWB World Cup Foal Auction to Blue Hors
The black colt foal Zackeis-Ø became the price highlight at 14,000 euro and is headed for a future at Blue Hors. Photo: Ridehesten.com
Blue Hors acquires price highlights
At the DWB World Cup Foal Auction at Vilhelmsborg return buyers secured top foals, and 88% of the foals were sold. Frandsbjerg horses purchased four foals, whilst Blue Hors purchased the two price highlights of the auction.
Head of the Danish Warmblood Auction Committee, Ulrik Kristensen, states that the committee is very satisfied with the result of the auction which has been conducted under very different circumstances with a very small audience in the show arena du to COVID-19.
15 out of 17 foals sold, all six show jumping foals sold and six of the foals sold directly through the internet to buyers in Denmark and the USA, whilst clients from Sweden, Germany and the UK were also bidding. We are happy with the average sales price of 9,100 euro, says Ulrik Kristensen.
Blue Hors securing Zackerey relatives
The international stallion station and dressage stable Blue Hors purchased the two price highlights of the auction. The black colt Zackeis-Ø by Blue Hors Zackerey/ Tailormade Attention/ Blue Hors Romanov from breeders Bente & Jens Møller Hansen showed himself as a very complete foal with plenty of energy and willingness to demonstrate is super gaits, which also attracted foreign bidders, but Blue Hors succeeded in buying this handsome son of their own top stallion Blue Hors Zackerey.
He is a top foal which I have seen and admired at several occasions, and we believe he is a stallion prospect, Martin Klavsen comments.
He also placed the final bid on the filly Overgaard's Várzea by Valverde/ Blue Hors Zack/ Londonderry, which is bred and presented by Tove & Ove Møller Nørgaard, who are also the breedes of Blue Hors Zackerey, and this very well-developed filly is out of Zackerey's dam line.
It is a large-framed and very attractive filly which will surely grow into a great dressage horse, says Martin Klavsen.
Four foals for Frandsbjerg
The show jumping stable Frandsbjerg Horses have been regular clients at the Danish Warmblood auction in recent years, and today they purchased nothing less than four foals including a dressage foal, the charming grey colt Don Faziano Overskovlund by Feinrich/ Blue Hors Zack/ Don, bred by Irene Dalum.
The Rasmussen family, who runs Frandsbjerg Horses also purchased the price highlight among the jumping foals, the colt foal Hecas Cornetto by Cornet Obolensky/ Catoki/ Landor S, bred by Marianne & Finn Tschernja.
See the full catalogue with sales prices here
Created By
Copyright sporthorse-data.com 2005-2020. All rights reserved data is protected by database right.


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Pride is a positive stance against discrimination and violence toward lesbian, gay, bisexual, and transgender (LGBT+) people to promote their self-affirmation, dignity, equality rights, increase their visibility as a social group, build community, and celebrate sexual diversity and gender variance. Pride, as opposed to shame and social stigma, is the predominant outlook that bolsters most LGBT+ rights movements throughout the world.
Bristol Pride is also a chance to celebrate our community. Organised by members of the LGBT+ community Pride is the chance for all LGBT+ people, their friends, families and allies to stand up and declare they are proud of who they are and their loved ones.
Bristol Pride is a registered charity (1166817) organised by volunteers from the community. We work all year round to challenge homophobia, biphobia, transphobia and promote equality and diversity, for all, through various events, school visits, consultation services and lobbying – check out our Project Work page for more info.
To bring the community together to celebrate, create understanding, opportunities for engagement and to tackle discrimination. We also want to create safe and positive events and opportunities for younger people to connect with the established community.
To challenge hearts and minds and to be a beacon of positive social diversity both here in the UK and for those 77 countries where it is still illegal to be LGBT.
To not only help shape policy and procedure but to engage in the local and wider political landscape to not only further but to also maintain human right for LGBT communities everywhere.
There are a lot of people involved in making Pride happen, from venue owners and the staff asking their businesses to get involved right through to directors and business owners keen to show their support, pride and commitment to equality and diversity in Bristol.
Pride is organised by volunteers from the LGBT+ community who bring along their skills, experience and passion to Pride in between their day jobs. Just some of team:
Working in equality & diversity for over 16 years Daryn worked as a Recruitment Manager for the BBC until leaving in 2009 to help make the first Bristol Pride (in its current iteration) happen, following his passion to actually make a difference. He brings with him a vast experience in programming and running events, marketing and engagement as well as delivering workshops on, and speaking about, equality and diversity. In 2019 Daryn stepped down as CEO but due to covid19 has stayed on to help us through this challenging time and is looking after programming and festival sponsorship. We are very proud that Daryn was awarded Freedom of The City of Bristol in 2020, though due to Covid-19 is yet to pick up his certificate!
Freddie is one of the Pride trustees and for many years coordinator of the community area and other stalls at Pride, so will be a familiar face, seen dashing about the festival. He also pitches in with anything and everything that's thrown at him and has been supporting Pride for many years now. He started volunteering with us when he was Social Secretary for the LGBT Soc at Bristol University where he graduated in Animal Welfare & Behaviour which must be where he learnt how to herd cats.
Graphic designer for some big brands and local companies in Bristol, Jayne has been working with Bristol Pride since 2010. The brain-child of our film festival Queer Vision, from designing the brand, programming and developing QV into a submissions festival partnering with Iris Prize.
In the early years of Bristol Pride Jayne stepped into the breach when our team was tiny, running the comedy night and looking after artists on the main stage, utilising her experience of festival and artist work at Glastonbury main, jazz and dance stages. Currently managing our main stage, which has become a firm favourite on the pride circuit for many artists.
As one of our trustees, Jayne puts over a decade of festival experience and knowledge into supporting the continued development, political and social importance of Bristol Pride.
Aled came on board in 2013 after we managed to find the funding to bring back the Cabaret Stage, a much-loved element of Bristol Pride Day. One of our own Bristol Scene Queens you can often catch Aled or his alter ego Miss Beaver. Not afraid to be a little gobby when it comes to fundraising Aled coordinates drag artists from all over the UK to perform in Bristol.
Coordinating our Pride Day Volunteers and looking at our longer term strategy and policies. Fun Stuff! Part of our Cultural Investment Programme to help look at making Pride more sustainable and ensuring all our incredible volunteers are well looked after.
A familiar face on the gates for the festival, often with daughter Lilly to tug on your heart strings while collecting donations! Sarah has been an incredible help for many years especially at events and in counting out the coppers from the donation buckets.
As a Youth and Community Worker – for LGBT Young People at Bristol City Council who better placed to help us coordinate our Youth Area at Pride than Mitch. She helps liaise with youth organisations to ensure participation and representation at Pride as well as making a fun and engaging space for young people.
Matt is our volunteer accountant, he's an ever watchful eye and lover of the spreadsheet! Matt is volunteering to help us keep track of incoming and the LOTS of outgoings for Pride.
Pride costs thousands of pounds to put on with lots of costs you may not think of like the toilets, staging, equipment, fencing and security so we need to know where the money to pay for this is going to come from especially when running a free festival.
Ross has volunteered for Pride since he was at university in 2010, and is now one of our Trustees. He teaches in a Bristol primary school and is committed to widening the representation and celebration of diverse identities and different families in education.
Eve joined the team in 2020 as the new Festival Director.


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You can marvel at the unique landscape of the lavender fields normally from mid June in the lower areas until mid August in the mountains. It depends also on the different species of lavender and the weather conditions.
Summer in full swing !
July begins with the harvest of bouquets by hand, from mid-July to mid-August you can see the tractors proceeding to the mechanical harvest of lavender and lavandin bringing them to the distilleries.
Discover the distilleries at Sault :
Distillery Aromaplantes open all year 7 days a week, 10 am to 7 pm, from May to September
10-12 am and 2-6 pm, from October to April (Closed on January 1st and December 25th)
Guided visits for free of the distillery.
Free access to plantotheque, discovery paths, gallery, Aromatic'bar, shop.
Distillery of Vallon des Lavandes situated at the departure of the lavender path, open from Monday to Saturday in July and August 10-12 am and 2-6 pm. Free visits.
In April, May, June, Sept. and Oct. on Wednesdays at 11 am, Fridays and Saturdays at 2 pm on reservation by the tourist office of Sault or Montbrun les Bains or at the distillery.
Visits for groups by appointment. Direct selling of our products all year long.
Annually closing the last week in August and during the Christmas holidays.


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Global Columbia Collaboratory
Columbia Global Centers invite you to engage with the broader Columbia network through seminars we are offering to students and making available to the public as part of the Global Columbia Collaboratory.
The Collaboratory is a program designed to help students connect and cooperate across a global network, empowering them to make a difference in the world as global citizens. For more information on the Collaboratory visit the Center for Undergraduate Global Engagement.
Expanded Global Locations for Learning & Engagement
Envisioned by President Lee C. Bollinger in 2009, the Columbia Global Centers connect the local with the global by providing opportunities for shared learning and dialogue. The Centers' impactful, collaborative programming maximizes engagement among the University's faculty, students, and alumni to address global challenges, and advance knowledge and its exchange.
Never has the mission been more important than now, and never has the unique, networked structure of the worldwide Global Centers proved more prescient.
Columbia Global Centers as Regional Hubs
The existing nine Columbia Global Centers—located in Amman, Beijing, Istanbul, Mumbai, Nairobi, Paris, Rio, Santiago, and Tunis—will serve as "regional hubs" for students. They will provide physical meeting locations that Columbia schools will use to host rewarding in-person academic experiences, together with their peers, designed to complement their individual online coursework. Beyond gathering for targeted seminar discussions or short course / block weeks, these regional hubs will foster social opportunities, local network development, and cohort building–activities that will contribute to students' overall Columbia experience and connection to one another.
Our Centers will have advanced technology and audio-visual equipment, and will be reconfigured to offer students the ability to practice physical distancing. All Centers have large meeting spaces, strong wi-fi, proximity to public transportation and parking, and the ability to augment existing capacity by leveraging their extensive partner networks for additional shared common spaces, local facilities, and nearby hotels.
As part of our enhanced set-up, we will support Columbia's campus-based "HyFlex" model. Centers have the appropriately trained staff and the technical capacity to engage in live, online conversations and interactions, with onsite cameras, microphones, speakers, and in-room projection / displays to support student and faculty in-person needs.


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New Age Marketing Takes the Lead
Charlotte, NC, September 04, 2019 --(
)-- Charlotte's lead marketing team, New Age Marketing, recently returned from their quarterly convention in Dallas, Texas. The exclusive, annual conference brings together select top performing men and women from sales and marketing campaigns across the US.
A team of Human Resources Coordinators and Public Relations Managers were invited to the seminar along with the top managers to chat with the team about hiring practices and policies, budgets for the offices, and press management for their companies and clients.
The first day of the corporate trip was full of networking and catching up between managers and regional managers. The conference allowed members to not only learn how to advance their craft but how to work smarter. The seminar speakers covered a multitude of topics ranging from, the importance of campaign compliance, culture and team identity, and brand management. Attendees were given the chance to network with other markets, learn more about new campaigns, and encouraged to participate in individual breakout sessions with industry leaders.
"It allowed me to step away from the day-to-day operations of our company and gain a stronger insight on the big picture at hand. I've always had large ambitions and goals in this business, but being able to see others with the same mindset and knowing how they achieved them, made me that much more excited to come back to Charlotte, NC and work even harder." -Jasmine Craig; Corporate Trainer
"I come into the office each morning with a student mentality and I attend these meetings with the same mindset. There is always room to improve in business and networking with other successful organizations is key to staying at the front of the industry. Coming home with a fresh take on things mean that New Age Marketing is ready to go for the second quarter." -Patrick Graham; Corporate Trainer
The Top Leaders conference tackled the topics of how to build team identity, understanding the necessities of compliance and leadership as well as a chance to network with the top leaders nationwide. Apply today to be a part of their new company direction.
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Mariel Cody
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