The Samuels Dental Arts Diaries



This is the pain which my wife Wendy has had to endure due to a filling that she obtained at Samuels Dental Arts in Gettysburg, Pa.. She started experiencing pain right after the meeting, and went back to Dr. Berger At Samuels Dental Arts many times, but had been told that"It requires to settle", or"The pain will go off when the enamel above it gets pulled". Nevertheless, it didn't.

When Wendy told Dr. Berger that the meeting was causing her pain, she had been snippily told,"I stand by my work, there's nothing wrong with all the filling". Dr. Berger would not take a follow up x-ray to verify her work.

The pain eventually advanced to constant and excruciating and we went to a different dentist.

Last night Wendy underwent a root canal to remove the filling and fix the damage.

We contacted Samuels Dental Arts and asked them to reimburse us for the money we spent fixing their mistake. They flat out denied.

I have not ever aired my grievances on Facebook before, but seeing my wife need to bear the pain she went though because a dentist wouldn't take a easy x-ray to check her job warrants my rage.

What kind of dentist prefer to see a patient undergo excruciating pain, than acknowledge that they might have made a mistake and fix it?

I posted this movie into the Samuels Dental Arts Facebook page, so that the can see Wendy's pain. Their reply... They Blocked me.

Wendy was trying for the last week to receive her records sent to her to give to her dentist. She calls every day to find out whether they have been delivered only to be told from the Office Manager, Paula, she needs to talk with Dr. Samuels about it.

Wendy was told several times by Paula, that"by law, they have two weeks to ship them out".

So once you have a patient who has been in pain for 2 months, and is currenty in excrutiaing pain and will be attempting to get some relief from it, your workplace is only going to do the minimal Samuels Dental Arts amount for her that's demanded by law? Unbelievable!

CPC, CPM, CPA & CPL Guide



The domestic corporate travel market is set to undergo many subtle changes in 2017, says Alan Low of category benchmarking company Pi. With a forecast of stagnant economic growth, downgrades and political uncertainty, organisations will be looking for more savings and greater efficiency. Remember in this instance we're talking about digital marketing, in reality digital marketing is but one area for benchmarking yourself against the competition, it's not new and has been done for a long time in benchmarking products, logistics and manufacturing processes.

Completing the our financial benchmarking survey, which is completely confidential, helps firms of all sizes, from sole practitioner and high street firms to large scale commercial firms, assess their financial performance and also provides insight into the financial health of Scotland's legal sector as a whole.

Benchmarking measures the quality of an organization's policies, program and strategies, and compares those results with similar measurements of its peers. An analysis of data from 246 water utilities (including 123 utilities from 44 developing countries) proposed a benchmarking target of 5 or fewer staff per 1,000 connections for developing-country water utilities.

Retain the function of a part, but reduce the costs of components, never jeopardizing quality. The use or communication of a benchmarking partner's name with the data obtained or practices observed requires the prior permission of that partner. When evaluating your Facebook ads cost, it's important to take into account the time of year.

That means breaking down internal processes to calculate performance metrics. It looks that the Facebook Audience Network is the cheapest ad placement while Instagram ads cost is the highest. This shows the cost structure for construction firms, average profit margins and year on year trends, allowing you to compare your performance.

Best-in-class companies can be your direct competitors (foreign or domestic), or even companies from a different industry (parallel competitors with replacement or substitute products or services; latent competitors which might backwards- or forwards-integrate into your market; or, out-of-industry firms with whom you do not compete, but which have best-in-class areas to be studied such as FedEx or Wal-Mart in logistics).

Certainly, there are exceptions to any rule, and a great deal of variation in the way individuals manage their operations, but using vertical analysis is a quick way to find out how far above or below the standard your business falls within your industry or category.

Benchmarking is part of the awards process. Time needed will depend on how data about your funding and cost structure is organised. When creating new Facebook marketing audiences, don't let yourself be limited to Saved Audiences (the interest-based audiences that are easy to create).

On that basis we recommend benchmarking your business model first in order to set a baseline for a more detailed comparison of your key income sources, and your on and offline audiences. There are four basic stages or phases associated with benchmarking: measuring your own performance, planning, deployment, gap analysis, and action.

The Audience Agency are working with this group as part of Audience Finder and the TMA will be linking the analysis to Cost estimating and benchmarking software their work on sales data and benchmarks. As a new service, AVL List GmbH offers comprehensive vehicle benchmarking analysis of the most important passenger cars, newly released to the market.

Here's the answer: Spend less on each customer you get through Facebook Ads than they are worth to you. OSB metrics can be the starting point for industry conversations that dig down into context for specific benchmarks. Link Clicks - Facebook will deliver your ads to the people most likely to click on your ad. With this optimization method, you'll be charged every time someone clicks on your ad.

How To Trade Forex In The Netherlands



Using services provided by forex brokers is quite easy. It's so risky that many commentators have likened home traders to professional gamblers, arguing that the idea an individual can reliably predict the movements of currencies is nonsense. A demo account is intended to familiarize you with the tools and features of our trading platforms and to facilitate the testing of trading strategies in a risk-free environment.

In some cases, hedge funds may make purchases on one exchange and sell on another exchange in the same time, using arbitrage as a means of capturing more gains. Many speculators find forex trading an attractive option because of the large amount of leverage it offers.

As a Forex trader, you will be presented with a myriad of information that you will need to interpret so that you can successfully navigate the currency market. How much money you'll need to trade forex is one of the first issues you have to address if you want to become a forex trader.

There are no registered brokers who are operation forex trading from India. On the other hand, if you believe the euro will depreciate relative to the dollar, you will sell the EURUSD currency pair. The foreign exchange market is a global decentralized market for the trading of currencies.

Forex trading, or currency trading, or FX trading, as it can be also abbreviated, are all terms that describe the currency exchange market as we know it today, which in simple language refers to the global, decentralized marketplace where individuals, companies and financial institutions exchange currencies for one another at floating rates.

Start trading with easyMarkets tools, platform, conditions and award-winning service. Forex is a highly liquid (there are lots of buyers and sellers) market, but it is generally not that volatile. These opportunities appear simply because forex is the OTC (over-the-counter) market - so any currency pair does not cost the same in the same time everywhere.

And this is the reason why you hear stories of traders busting their trading account. This is the price you can buy a currency pair at. Essentially, the basic, simpler platform is designed for rookie traders, who are still new to forex trading and aren't well familiarised with the more complex aspects of the trade process.

Forex trading involves substantial risk of loss and is not suitable for all investors. The forex market offers significant opportunities to make profits. The difference between the buy price and the sell price is known as the spread, and is basically the cost of the trade.

The vast majority of forex trading takes place between major banks and financial institutions, who buy and sell massive amounts of currency every single day. With swing trading you're trying to capture longer term moves and therefore may need to hold positions through some gyrations (ups and downs) before the market actually gets to your profit target area.

A pip (abbreviation from price interest point ) is the smallest change of the value of traded currency. Spread betting and CFD trading are leveraged products and as such carry a high level of risk to your capital which can result how to trade forex successfully in losses greater than your initial deposit.

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Spark Tutorials



Write custom Scala code for GeoMesa to generate histograms and spatial densities of GDELT event data. Read Part 1 of this Apache Spark tutorial here Most of the code in that first part, about how to use ALS with the public MovieLens dataset, comes from my solution to one of the exercises proposed in the CS100.1x Introduction to Big Data with Apache Spark by Anthony D. Joseph on edX , that is also publicly available since 2014 at Spark Summit There I've added with minor modifications to use a larger dataset and also code about how to store and reload the model for later use.

In the DataFrame SQL query, we showed how to issue an SQL group by with filter query on a dataframe We can re-write the dataframe group by tag and count where count is greater than 5 query using Spark SQL as shown below. MLlib is the Spark library that allows machine learning in a distributed framework.

We encourage you to play around with the dataframe and see what other queries you can create. This installation in the Open source Java projects series reviews Spark, describes how to set up a local environment, and demonstrates how to use Spark to derive business value from your data.

Churn through lots of data with cluster computing on Apache's Spark platform. It contains different components: Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX. To show the dataframe schema which was inferred by Spark, you can call the method printSchema() on the dataframe dfTags.

Spark RDDs are immutable in nature. Apache Spark runs on Mesos or YARN (Yet another Resource Navigator, one of the key features in the second-generation Hadoop) without any root-access or pre-installation. A RDD is the fundamental data structure of Spark. In this tutorial you will be introduced to the Apache Hadoop and Spark frameworks for processing big data.

One of the excellent benefits of using Spark is that it is often used in Hadoop's data storage model, i.e. HDFS and can well integrate with other big data frameworks like HBase, MongoDB , Cassandra It is one of the best big data choices to learn and apply machine learning algorithms in real-time.

As a summary of what I learned, the code I've shared so far showed that out of the 100,000 records in my small, sample Apache access log file, I had 303 404” records, and of those, 96 of the URIs were unique. While we desire cost-efficient processing of big data, Spark turns out to be very expensive.

We call SparkSession.builder to construct a SparkSession, then set the application name, and finally call getOrCreate to get the SparkSession instance. Once created, distFile can be acted on by dataset operations. Apache SQL supports both structured and unstructured data.

Once created, the distributed dataset (distData) can be operated on in parallel. Spark provides the shell in two programming languages : Scala and Python. It's easy to get started running Spark locally without a cluster, and then upgrade to a distributed deployment as needs increase.

Create a new file Main.scala to copy the examples or run the MongoSparkMain for the solution. This tutorial assumes that you are familiar with Kubernetes Engine and Apache Spark The following high-level architecture diagram shows the technologies you'll use. The examples in this section will make use of the Context trait which we've created in Bootstrap a SparkSession By extending the Context trait, we Apache Spark Tutorial will have access to a SparkSession.

There are many other shells which let us manipulate data using the disk and memory on a single machine, however, Spark's shells allow us to interact with data that is distributed on disk or in memory across many machines, and Spark takes care of automatically distributing this processing.

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