Okay. Thank you. Net income by quarter, of course, tends to follow the similar ups and downs as EBITDA, and you can see, about $700,000 rounded off here for the first quarter. New customers by quarter, the new customers we consider to be either brand-new companies or government agencies or universities that have never licensed anything from us before, or contracted for consulting services or new departments within very large organizations that we have not done business with before. So it can be just as challenging, perhaps, to take on a new department at some location within a large pharmaceutical company as it would be to find a small company doing a similar type of activity that might be across town and in the same city as that large company. So both of those, we consider new customers, based on the kind of interaction that it takes to get them signed up and get them to become a customer. Selected balance sheet items. Again, I mentioned cash was up after the dividend distribution of 640-plus thousand dollars. We increased the cash position from August 31 to November 30, as you can see there from $10.18 million to $10.56 million, roughly, rounding off a little bit. And you can see the cash per diluted share. Shareholder's equity, increased, it's always impacted when we do a dividend distribution, of course, because we decrease cash and we have to grow that back. But you can see shareholders' equity also up multiple quarters. And equity per diluted share up as well. Now this shows the effect of the dividends that we've had. We've now distributed about $7 million in dividends since the very first dividend, which was in fiscal second quarter of fiscal year '12. So it was 2 years ago in February, in fact. So we're coming up on our 2-year anniversary for providing a dividend, we've had a dividend going ever since then. You can see the Q1 FY '13, the very large amount there, where we accelerated the dividend, again, to give the tax advantage to shareholders of 2012 tax rates over the 2013 rates. In that quarter, we paid all of the Q2 FY '13 dividend, and that's why you see 0 there. And we've paid $0.03 of the $0.05 that were planned for the following 3 quarters. You can see, then, that in Q3, that was the -- that would be the March, April, May -- I'm sorry, May -- March, April, May -- come on , Walt, yes, March, April, May is the third quarter. So in March, April, May of '13, we paid out $480,000, that was actually $0.03, so we -- the board decided to add $0.01 per share to the dividend, so normally that would be about $320,000. Roughly 16 million shares, $0.02 makes $320,000, $0.03 makes $480,000. And as you can see on the last bar there, $640,000 is the $0.04 that was kicked up. So Q3, Q4 and Q1 FY '14 were all increased over the $0.02 that would have been there, as a result of the accelerated dividend paid in December of 2012. Now we're going to go back to the original $0.05 per share per quarter, or at least that's the plan for now. The board has not yet voted on it. We expect that, but the board always reserves the right to use cash in the best interest of the shareholders in the business. Now for an overview of our products and services. We work all the way from the earliest level of discovery in the pharmaceutical industry to clinical trials and everything in between. We probably have the most dominant part of our revenues and services are in discovery and preclinical, and perhaps in the Phase I clinical. And then jumping past clinical, actually, to post patent, where we deal with generic companies working on developing formulations for drugs that have gone off patent and are now becoming generic drugs. And that is a very nicely growing part of the business. So about 5 years ago, I think we had one generic company as a customer, and now we have somewhere on the order of 30, perhaps, a little more. The interesting thing about generics is, of course, there are always going to be more and more of them. And so the generic industry has a pipeline of drugs that will be going off patent in future years, and this provides an incentive for them to start developing their generic formulation. There is an advantage for the first generic to receive an approval. I think it's a 6-month exclusivity, and so anything they can do to reduce the time to get their new formulation to market can get them to be that one that gets that 6-month exclusivity before their competitors jump in. What we offer, by and large, is productivity. Software, in any enterprise, whether it's using of the spreadsheet or word processor, PowerPoint presentation or database, they're really productivity tools. And so, I like to say we sell productivity, in a sense, and that productivity comes from being able to do things faster, but also being able to understand what it is that you're working on, much more deeply and might be possible without software. The problems that have to be solved all the way from discovery to preclinical development to clinical are very, very complex problems, and there's just no way that the human mind can look at stacks and stacks of data, databases and spreadsheets and so on, and figure out how all of that data interacts with each other. You have to have software to do that, whether it's GastroPlus software, simulating what's going on in the body of a human or a laboratory animal, when we dose certain drugs, a certain way. DDDPlus where we're simulating what's happening when formulations are dissolving in the laboratory. The upcoming MembranePlus product, very mechanistic simulation of what's going on in permeability experiments in the lab, another unique product in the industry, like DDDPlus, it's the only one of its kind. Or we're looking at high-throughput screening data with MedChem Studio and MedChem Designer, so that you look at thousands and thousands of experimental results, where you have many different molecules that you're testing against the target and you want see what it is about those molecules that make them bind to that target very well, or not bind very well at all. And then, ADMET Predictor, the ability to take millions, literally millions of molecular structures that have not even been synthesized yet, so they exist only as an idea in a computer, and run them through this program before lunch and predict over 140 properties of those molecules, with good enough accuracy, to tell which ones of those are really not very good molecules. And that's going to be the majority in almost every case. And throw those away without wasting any time and money to synthesize them and test them and clean up the lab and go through all of that. So the productivity gains through simulation and modeling software are almost immeasurable. You never know what you've avoided when you avoid a problem early on. And so I like to use the analogy of you got a tire on your car that's pretty well worn, and so you replace it with a new tire, you never know what you might have avoided, in terms of an accident or something else that could have cost you a lot of time and money. And then, at the bottom, the consulting services and collaborations. Consulting business continues to grow. We've expanded our consulting team, adding 2 more consulting scientists in the past year, and the business just keeps rolling in there from -- sometimes from companies we haven't even known very much about, or perhaps haven't heard of at all, calling us for help in analyzing experimental data that they have either from animals or human testing. As far as our products, we did release GastroPlus, Version 8.5 in the fourth quarter, in last summer, which had a unique precipitation model. Many times, when you take a drug, if it's a base, as opposed to an acid, it goes into your stomach, it's dissolved very nicely in the stomach at low pH, but then, when it -- the stomach dumps it into the small intestine, the pH shoots up, the solubility goes down and the stuff can precipitate out. You probably all seen videos of a liquid beaker and you pour something in and suddenly, there's this white cloud that appears, whatever you're pouring in, you pour one liquid into another liquid and suddenly, the second liquid turns into a light powder and creates a cloud. Well, that's precipitation. We've added physiologies for infants so that we can deal with, now, infants as much as 16 weeks premature. And this is a high interest area, both in the FDA and in the industry, the ability to simulate what's going to happen in an infant when we dose a certain drug that's been tested with adults, but has not yet been tested in infants. As you can imagine, it's very difficult to run a clinical trial with infants. It's very difficult to get infants, first of all, and then there's the ethical issue of testing drugs on infants. So when we have an infant who needs a certain kind of therapy for a certain indication, if we can take data that have been obtained in adults and know how those behaviors can scale to the infant physiology, and the infant physiology can change by the day or by the week, if you're talking about a very, very young baby. And so GastroPlus, now, is able to handle that very remarkable capability that the Simulations technologies team is working to the program. We added a built-in method now for extrapolating from in vitro tests, laboratory tests, to what happens in vivo, in human and animals, when transporters are involved. Transporters are proteins that can pump certain chemicals, or molecules, in and out of cells. And you can measure things in the lab in one way, but it's been very difficult in the past to take those lab results and get a reasonably accurate estimate of what's going to happen in an entire body of an animal or human. And so developing that method turned out to be a significant breakthrough for us. And we've added a number of additional built-in enzyme expression levels, so we know how much of different enzymes exist in different species and in different tissues. So if we're dealing with a rat or a dog or a human, and we're looking at the liver or the heart or the lungs and so on, then we need to know if the enzyme is going to attack our drug molecule and metabolize it into something else. We need to know where that's going to happen and how much is going to happen. So these are important new capabilities as well. ADMET Predictor Version 6.5, was released in June 2013, Version 7.0, we expect to release this month and this will add significantly improved metabolism predictions, a new model of skin permeability, as well as air-water partition coefficient, that's of interest to many scientists; new mutagenicity models in the toxicity module; and we've incorporated a new licensing software that gives us more flexibility and efficiency in both ADMET Predictor and in MedChem Studio as well. MedChem Studio, Version 3.5 and MedChem Designer were both released in July of 2013. We expect a new release here shortly, for both of those, along with the Version 7.0 of ADMET Predictor. Those programs are closely linked in functionality. There's a great deal of synergy in the ability to do what we do with MedChem Studio and then be able to click on a button and automatically, call ADMET Predictor and generate properties for molecules that we're investigating in MedChem Studio. It's a unique capability, and it's this capability, combining these programs that we've used to design our NCE project molecules for malaria, a couple of years ago, and now for COX-2 and COX-1 in the most recent project? So the number of the improvements that we have from the previous release were better drawings of molecules, so when you see a molecule drawing on a computer screen, the lines are crisp and clear, they're not jagged and pixelated. The licensing software has been upgraded, as we did with ADMET Predictor. We've come up with some new very, very fast screening methods, it's methods for very large molecular libraries, and we've added 64-bit versions, again, that expand the amount of memory that the program can use to deal with very large libraries. DDDPlus Version 4, we added virtual trials because experiments are not pure, things vary and this shows us where that particular type of experiment, what kind of variances the scientists can expect as things change a little bit in the experiment. We've added an ADMET Predictor module, as we have in GastroPlus, so that if we want to get many of the inputs that we need for DDDPlus, or GastroPlus, can often be calculated from molecular structure using the ADMET Predictor, when there are no experimental data available. So this gives the scientist an opportunity to run these other programs before they have complete sets of data from a wide variety of experiments that provide the inputs that are needed for these programs. MembranePlus, similar to DDDPlus, it simulates things that happened in the lab rather than what happened in the human body or animal bodies, and we expect this during the second calendar quarter of 2014. We are -- this allows us to see when we run an experiment, where we measure the permeability of a drug through a layer of cells; why the drug behaved the way it did; how much of the drug got stuck in the cells, for example; how much of it got trapped in the lysosomes of the cells, which can happen; how much is in various regions within the well of the experiment that contains the fluid and the layer of cells; how much are transporters affecting the results; and so on. We right now have had some in vitro assays that we've contracted for, that are at a level of detail not normally run for these assays because we need details at a very fine level. And so we contracted for those, those are being completed now. We did present a scientific poster, I should have updated this slide, it wasn't last week, but it was in November, in San Antonio. Our marketing and sales program, John, would you like to take this one, John DiBella?