Thank you, Renee, and welcome, everyone, to our fourth quarter and fiscal year 2013 conference call and webinar. I would like to keep the lawyers happy, so I'll just read this. With the exception of historical information, the matters discussed in this presentation are forward-looking statements that involve a number of risks and uncertainties. The actual results of the company could differ significantly from those statements. Factors that could cause or contribute to such differences include, but are not limited to, continuing demand for the company's products, competitive factors, the company's ability to finance future growth, the company's ability to produce and market new products in a timely fashion, the company's ability to continue to attract and retain skilled personnel and the company's ability to sustain or improve current levels of productivity. Further information on the company's risk factors is contained in the company's quarterly and annual reports and filed with the Securities and Exchange Commission. So highlights of fiscal year '13. Sales up 6.6%, we announced that back in early September, right after the close of the fiscal year and at the end of August. Preliminary revenue estimate was quite accurate. It was the new fiscal year record, $10.7 million up from $9.45 million in the fiscal year '12. Gross profit was up 6.1%, a little over $8.4 million, from just about -- under $8 million in fiscal year '12. SG&A increased 5% to the lower $3.5 million around about $3.38 million, but as a percentage of revenue, SG&A decreased to 35.2% from 35.8%. R&D expense increased -- or decreased, sorry, 15.3% to about $800,000 from about $950,000 and that was because last year, in the second quarter of FY '12, we had about $150,000 in R&D expenditures that went toward our malaria NCE project. So that was paying for the synthesis and the outside testing for activity against malaria and also some properties for solubility and metabolism. We don't have a lab, we're a software company, so we contract track out for all of those. For those of you that may not remember, or haven't read about the malaria NCE project, this is where we've designed and had synthesized 7 molecules to see if we could inhibit the growth of the malaria parasite. And all 7, in fact, did inhibit the growth at reasonable levels, some of them at minimal levels. So a very successful project. The net income from continuing operations increased 12.7% to a little of $4[ph] million from $3.16 million. Diluted earnings per share from continuing operations was $0.18, which was the same as in fiscal year '12. Fiscal year '12 also had another $0.01 per share that came from the sale of the former Words+ subsidiary, which is now is treated as discontinued operations. So the total for the last year was $0.19 a share versus $0.18 on -- or $0.19 a share versus this year, $0.18 on continuing operations. During the fiscal year, we distributed to shareholders approximately $4 million in cash dividends, $0.05 of share in November, which followed by $0.05 per share in February, May and August for the fiscal year started on September 1. So then we continue the $0.05 per share. And then in December of last year, we noticed that a number of companies were advancing dividends to give shareholders a tax advantage of the 2012 tax rate over the 2013 tax rate. And so we advanced a portion of the subsequent 4 quarters. We advanced all of February, which was planned to be $0.05 a share and then we advanced $0.03 of the $0.05 for May, August and November. When May came around, the Board decided that instead of giving the remaining $0.02 of share, they would increase to $0.03. And in August, they did the same thing. So there was an increase of 1.5 -- or $0.01 per share in both May and August over the planned $0.05, recognizing that $0.03 of each of those quarters have already been paid in December, so it ended up being $0.06 a share. In November, we paid $0.04 a share, just paid last Friday. And so for November, accounting the $0.03 that was already paid last December, we paid a total of $0.07 a share for November. If you're a long-term holder and you've had it back in December, [indiscernible] we've had paid and realized the [indiscernible] if you did not hold it after December, then of course, you didn't get the dividends after that. Balance sheet is still strong. Cash over about $10.18 million at the end of the fiscal year and about $10.8 million today, even after the dividends had been paid out and paid another, as I mentioned, $0.04 a share on November 5, which was around $640,000, roughly as a total. Shareholders' equity on August 31 was a little over $14.2 million, and of course, we continue to have no debt. Let me just go to the next slide. Here we go. This summarizes the net sales. As you can see, the gross profit up -- and our gross profit margin hanging right around an 84%, 83.7%. SG&A and R&D, I have already covered. So total operating expenses, almost the same as last year within a few tens of a thousands. Income from continuing operations up from $3.96 million to about $4.26 million. And then other income, which consists of things like the rent that our former Words+ subsidiary was paying for their space in the building before they shut down operations earlier this year, the exchange rate on foreign currency and interest in our accounts was down from $343,000 to $184,000. So those are the things that do attract about [indiscernible] with the things that are largely beyond our control. Income from continuing operations before income taxes, up from just under $4 million to about $4.26 million. And then net income from continuing operations, about $2.89 million versus $2.81 million last year. And earnings per share based on continuing operations was up a little bit from $0.178 to $0.18 a share. Now this shows you the revenues by quarter and as -- rather than going through every single statistic for the fourth quarter as I had for the fiscal year, the numbers are particularly complete in these charts and of course, [indiscernible] 10-K. But you can see here, our -- because of rounding, both of these Q4s are rounded off to $1.6 million but there's a slight difference in the next significant digit, which causes that bar for this year to be just a little bit below last year's $1.6 million. And remember that we did announce in the preliminary revenues, announced at the beginning of September, that a significant order had slipped into Q1, the quarter that we're in now. We have received that order and so that would be part of our Q1 revenues going forward for this year. Gross profit by fiscal quarter, you can see here, it is same again, of course for the year. The large revenue order that slipped affected us as well. And EBITDA by fiscal quarter, again, affecting -- that large order affecting this one as well. And net income, approved by quarter. So what I like to look at is going back to the revenues per quarter. In general, you'll see a nice increasing slope on all of the quarters. In fact, large order had stayed in, we would have seen the increase continue through Q4 of this year as well. I guess, we'll see a pretty good jump in Q1 of 2014, which I hope so since we have that to add to our revenues. New customers by quarter, 9 new customers versus 10 in Q4 of last year. We just continue to penetrate the market, of course, it gets to be more of a challenge every year because you have your market that you've already penetrated. You have your renewals and now, you're trying to get new business. And it's just as challenging to get a new department in a very large company, if they're not closely tied to other departments that already have our software. It's just as challenging to bring them in as a new customer as it would be for a small company or a company that we have not previously licensed anything to or done a consulting report. Balance sheet items. I mentioned this earlier, again, our cash today, about $10.8 million and that's after being out about $640,000 here -- I'm sorry, 400 -- that's $0.04 a share -- $640,000 here just last week, so still doing well. I won't read all the numbers to you. Our shareholders' equity, again, because of the dividend payouts, it does go down a little bit, but overall, very strong financially. And here, you can see the cash balance [indiscernible] of above $10 million, again, that's was as of August 31, $10.18 million, today $10.8 million. So our dividends are easily manageable for -- within our cash flow and still maintain a balance of $10 million before. Going to our products. In services, we continue to work all the way from early discovery into clinical trials. In the pharmaceutical industry, we are also exploring some activities in other industries. We've done a little a bit of work in the food industry. We've done some work now with our herbicides and pesticides or agri-tech and we even have an exploratory effort going into aerospace industry using the modeling engine from our ADMET Predictor software to predict aerodynamic coefficients for missiles with different shapes, configurations at different Mach numbers and different angles of attack. And the preliminary work that we've done there is very exciting, the accuracy is very, very high. Much easier to model parameters like that, that do not involve biology than it is to model the kinds of things that we have to deal with in the pharmaceutical industry with the high variabilities that you see in biological systems. So ADMET Predictor spans discovery fleet, pre-clinical, even into some clinical, early clinical areas at times. The ADMET Predictor has been very useful in helping us to understand why a particular molecule choose a certain kind of behavior. In Japan recently, we were working with our customers there on the compound and found a -- had some very usual solubility behavior. And using the ADMET Predictor, we were able to come up with an explanation for why the experimental results would come out the way they did. Dr. Mike Bolger, our Chief Scientist helped out on that and he actually did the analysis on it. Our MedChem Studio and MedChem Designer are tools used for data mining, so that when companies do a very large high-throughput screenings of thousands to hundreds of thousands to even millions of compounds, and have a large library of compounds and you want to find compounds that have certain characteristics within that library about the phenomena[ph] instead of [indiscernible]. MedChem Studio can help you organize that data in a way that allows to search it, in a way that -- looks like a chemist, and it looks for those drawings like you see under the word discovery on the Slide here. Now [indiscernible] you will see hidden here. So [indiscernible] a strong, amountful [indiscernible] MedChem Studio can allow you to and search a library and maybe what you would find is that a certain part of that molecule, let's say, this part that I'm circling in red, we call that a scaffold or a common substructure. That might be common to a few thousand molecules, or maybe even only a few hundred molecules, out of a file that contains a million molecules. But MedChem Studio can find those for you. It doesn't have a database of these structures that actually learns what they need to be from your data, so quite a powerful program. MedChem Designer is our sketching tool, so it allows a chemist to draw these molecular structures, copy and paste and then it makes some changes to them. And with both of these programs, you can click on the button, you can call ADMET Predictor and from the structured drawings alone, we predict about 140 different properties of those molecules. So even though they have never existed, observing the size, we can get a good idea of how they're going to behave in terms of clinical properties of absorption, distribution on the body, metabolism and excretion. So that's what ADME stands for. And then toxicity as well. There's about around 35 toxicity models in ADMET Predictor. So before we even synthesize a molecule, we can give a chemist a good idea whether it's going to be toxic in various ways that are going to cause cancer. Is it going to cause DNA mutations? Is it going to be harmful in the environment? Something is going on with my computer here. Sorry, [indiscernible] to jumping in here and something this happened to my presentation, let's see if I can back to where we are. Okay. I hope that's back on everyone's screen now. GastroPlus, of course, is our flagship product. It's brings in about 60% of the revenue or so. It is the dominant program of its type. It would simulate how drugs are absorbed in the gastrointestinal tract, as well as -- now, in recent years, we've added the ability to dose through the eye. So topical eye drops or implants or injections in the eye. It also has the ability to dose by nasal, in pulmonary, so inhaled products. So the inhalers, the nebulizers and so on. And we are now finishing up a collaboration with a major pharmaceutical company to add transdermal dosing, so skin patches and ointments and creams will be simulated in the mix for GastroPlus, that's in development now. DDDPlus is a simulation of laboratory experiments that measure how fast tablets dissolve in capsules. And so when we have a dosage form that has solid particles of drug and it's mixed in with other excipients. We simulate it. How? If you drop a few of those tablets into a glass container, typically with about 900 millimeters of some buffer solution and you stir it with a paddle or you'd use other apparatus. How fast will that stuff actually dissolve in the experiment? And that can be a very nice partner to GastroPlus because we can -- from GastroPlus, we can deduce how the drug dissolves in vivo, in life so, the intestinal track in humans or of laboratory animals. Then you can compare how the in vivo release was or the solution was from GastroPlus with how the in vitro or laboratory experiment was, and you can adjust that laboratory experiment in DDDPlus to try to better match what's happening in vivo. So the goal of the laboratory experiment, one of the goals, is to be able to predict the -- how the drug is going to dissolve when you actually dose it to a human, or perhaps to an animal. And so those 2 are complementary products. In development now is our newest product, MembranePlus. Pretty far along in development. We had a very nice poster presented by one of our scientists, Kay Sieto [ph] at the American Association of Pharmaceutical Scientist Conference in San Antonio last week. And a lot placed an interest in that, where [indiscernible] one doing the analysis and reporting on them. We now have under contract a company that still makes some laboratory work for us where -- what this program does is to simulate how drugs permeate through laboratory experiments to measure permeability. So layers of cells are grown -- a single layer of cells on a shelter and the drug is then put on one side of this layer and the measurement is made of how much drug shows up on the other side. And there are many different mechanisms that affect that, both how much shows up and how quickly it shows up, and that's how we measure permeability in a laboratory experiment. That can be input into GastroPlus. So again, MembranePlus will be complimentary to GastroPlus and it will help to analyze the data that comes out of these expensive experiments so that you get more bang for your buck. Again, we do quite a bit of consulting services and collaborations. Our consulting services is like a restaurant business. You'll never know if someone's going to walk through the door and order something. But overall, it's been strong and we have a continuous flow of consulting contracts, most dealing with GastroPlus but occasionally, some of them dealing with the chemotraumatic [ph] software, which should be ADMET Predictor and MedChem Studio and MedChem Designer. So the product [indiscernible] we did release version 8.5 of GastroPlus in the fourth quarter. We added a number of features here that are unique in this industry, precipitation model is unique. It's based on what's called classical nucleation theory. We've added the ability in how to simulate with infants, all the way down to 16 weeks premature. This is a very high-interest area in both the FDA and industry because drugs that are approved are generally approved based on large clinical trials, but you can't do a large clinical trial in infants. There are ethical issues, as well as simply finding infants quickly enough to grow -- outgrow being an infant. It doesn't take too long as an infant for their physiology to change. And so in GastroPlus, we can now actually simulate infants. An example would be starting with a 10-year-old Japanese boy, for example. A day 10-day-old Japanese boy turned to simulation the infant just to 11 days, 12 days, 13 days on up several weeks perhaps to several months. And the physiology is changing, the baby is growing. The sizes of different organs are changing. The expression levels of different enzymes and transporter proteins is changing, so all of these things that are accounted for in the infant PBPK, which simply means physiologically based pharmacokinetic models. So again, a very strong interest area by the FDA and the industry. We added a built-in method to extrapolate from laboratory experiments, in vitro experiments, to the in vivo initiative. For transporters, this has been a challenge for the industry and we've come up with a method Dr. Viera Lukacova developed a method to do this extrapolation, so that we don't have to always fit parameters to data. We can assume that from the in vitro experiments now, they gets us in the right ballpark for what's really going to be happening in human or animals. We also added a number of additional built-in enzyme expression levels in different tissues. And ADMET Predictor, we released version 6.5 in June and we are now closing in on version 7, expect to release this next month. This is going to add a number of features. One that is not listed here is the ionization constant model, and I'm sorry for all these technical terminology but basically, that's what it is. It's a capability within ADMET Predictor, that helps chemists know if a molecule is put into solutions that are at different pH levels, acidic or basic. Where they are likely to ionize, which atom on the molecule is likely to ionize and at what pH is it likely to ionize to a certain extent or vice versa. What extent would it be ionized at a certain pH. The importance of that model -- and we just got an email today from someone who tested that model and what he said, "It's by far, the best pKa predictor". PKa is what we call the ionization constants. The best one he'd ever have seen. So it's really a remarkable achievement and it comes on the basis of a large collaboration with Bayer AG in Germany, where they were able to provide us about 16,000 of their molecules or pKas, I cannot remember which. Some molecules are modeled with pKa. They were able to provide us that and virtually doubled the size of our database. That we've used to train that model and addition -- had additional molecules that they can test it with, that were not used in the training to make sure that it really was able to predict outside of the molecules used to treat it. The new licensing software gives us more flexibility is to customers a few more options in how they [indiscernible] things much more efficient to unlock the software. And then MedChem Studio, version 3.5, and MedChem Designer 2.5, were released together in July. We improved the way the molecules are drawn. Yes, in the past, they could have kind of a fuzzy look to them, looked a bit out of focus and use the technique call "anti-aliasing". They're now cleaned up and they look very smooth, and clean and crisp. Again, the new licensing software has been incorporated into this program as well. We will be incorporating that licensing software into GastroPlus in the next release, version 9.0, which is in development now. We see some of the other features there for MedChem Studio and MedChem Designer. DDDPlus, there's some minor changes here but the significant one is the ability to do what we call virtual trials, and this simply means that using a Monte Carlo method, instead of running 1 simulation for a dissolution experiment, you run a large number of them and you vary the kinds of parameters that you know will vary from one experiment to the next. And then you can see the distribution of the dissolution versus time curves, to see just how much variation to expect in real life. MembranePlus, again, release expected in early 2014. We're contracting, as I mentioned, for some in-vitro assays that will help us validate the model in great detail. These types of experiments are not run with the kind of detail that we want to have in terms of what's measured and when it's measured and the conditions under which is measured, so that we can really validate this model. And I mentioned the poster that was presented at AAPS last week. Marketing and Sales, John, you want to take this one?