Use the following to answer questions 27-28:   Under its executive stock option plan, SBH Corporation granted options on January 1, 2024, that permit executives to purchase 20.0 million of the company’s $1 par common shares within the next six years, but not before December 31, 2027 (the vesting date). The exercise price is the market price of the shares on the date of grant, $11 per share. The fair value of the options, estimated by an appropriate option pricing model, is $5 per option.   Suppose that unexpected turnover during 2026 caused an estimated forfeiture of 10% of the stock options. Ignoring taxes, what is the compensation expense related to this stock option to be recorded in 2026?  

WINTON Incorporated had a balance of $88,000 in its quality-assurance warranty liability account as of December 31, 2023. In 2024, WINTON’s warranty expenditures paid were $453,000. Its warranty expense is calculated as 1% of sales. Sales in 2024 were $40.8 million. What was the balance in the warranty liability account as of December 31, 2024?

On January 1, 2024, PC Company had 80,000 shares of common stock outstanding and 30,000 shares of 10%, $30 par, cumulative preferred stock outstanding. It also had stock options giving key personnel the option to buy 20,000 common shares at $25 each. Net income for 2024 was $215,000. The income tax rate is 25%. During 2024, the average market price of the common shares was $40.   Compute the 2024 diluted earnings per share for PC Company (rounded):  

GAMING Corp. sells annual access to online games. During 2025, its first year of operations, GAMING collected $1,500,000 in cash from its subscribers for online gaming access. Of this total, $1,00,000 worth of access will not be made available by GAMING until 2026. GAMING’s enacted tax rate is 20% for 2025 and 25% for 2026.   In its December 31, 2025 balance sheet, what amount should GAMING report for deferred tax assets?    

(A) What are the steps to develop a genetic algorithm solution for a particular problem. I am not asking you write the GA algorithm, but I am asking what the steps are to take to implement a GA for a particular problem (as described in the slides). Briefly describe each step.

Explain evolutionary strategies and how it works? What is the benefit of evolutionary strategies over genetic algorithms?

What are the benefits of using Neural Fuzzy Systems over regular Neural Network? How about over Neural Expert Systems?

How do we apply genetic programming to a problem? Outline each step and expand the steps using an example such as Pythagorean Theorem.

A neonate presents after normal vaginal delivery with more than 6 cafe au lait spots measuring greater than 1.5 cm each. The infant should be evaluated for which of the following diseases?

You are called to examine a three hour old well newborn for cutaneous rash. On exam you observe scattered vesicopustules and pigmented macules over the face, chest and back. Which neonatal condition is this?