Questions
Internet Marketing: Whats internet Marketing? Discuss an existing company that use internet marketing? how it use...

Internet Marketing:

Whats internet Marketing?

Discuss an existing company that use internet marketing?

how it use Internet marketing to promote one of its products?

which product and why?

what are the benefit of internet marketing ?

Support Information:

As in any new industry or concept, the Internet has its share of confusing buzzwords and jargon. A website produced by Matisse Enzer, presents a comprehensive glossary of Internet terms. http://www.matisse.net/files/glossary.html

Many traditional elements of marketing easily translate into Internet marketing such as price, product, place and promotion. For example in terms of “promotion” tactics consider the following:

Traditional Marketing                                                Internet Marketing

Broadcast advertising                                                    Banner ads

Direct Mail                                                                         E-mail

Press releases                                                                   Website

Promotions                                                                       Pressroom

Networking                                                                       Online Events

Word of Mouth                                                                 Chat rooms/listserv

                                                                                              Viral marketing

In: Operations Management

C++ Modify FunctionTable.cpp so each that each function returns a string(instead of printing out a message)...

C++

Modify FunctionTable.cpp so each that each function returns a string(instead of printing out a message) and so that this value is printed inside of main().

//: C03:FunctionTable.cpp
// Using an array of pointers to functions
#include <iostream>
using namespace std;
// A macro to define dummy functions:
#define DF(N) void N() { \
cout << "function " #N " called..." << endl; }
DF(a); DF(b); DF(c); DF(d); DF(e); DF(f); DF(g);
void (*func_table[])() = { a, b, c, d, e, f, g };
int main() {
while(1) {
cout << "press a key from 'a' to 'g' "
"or q to quit" << endl;
char c, cr;
cin.get(c); cin.get(cr); // second one for CR
if ( c == 'q' )
break; // ... out of while(1)
if ( c < 'a' || c > 'g' )
continue;
(*func_table[c - 'a'])();
}
}

In: Computer Science

As CEO of Avani International, Hetman headed the growth of a corporate giant. At its peak,...

As CEO of Avani International, Hetman headed the growth of a corporate giant. At its peak, Avani was gobbling up 200 companies a year. Under his leadership, the value of Avani increased 70-fold. In 2011, Hetman proclaimed his desire to be remembered as the world greatest business executive. Things turn sour when Hetman and his former chief financial officer were accused of running criminal enterprise within Avani. The two were charged stealing $170 million directly from the company and pocketing an additional $450 million through manipulated sales of stock. Hetman’s action has almost destroyed the company where he worked for 25 years. In 2012 alone the value of the company’s stock dropped $90 billion. Hetman spent his early years in humble circumstances. He grew up in the 1960’s in Jackson, Alabama. He said he was the son of a cop. It was only after he was accused did it come out that his father was never a police officer in Jackson or anywhere else. However, his mother did work for the Jackson Police Department as a school crossing guard. His father, in actuality, was a wheeler-dealer who was a practiced deceiver and an effective persuader. He had a strong personality but for the most part kept his misdeeds to little white lies. Friends remember Hetman as an easygoing kid who did well in school without trying very hard. He was elected “class politician” by high school graduating class. He went on to Samford, paying his way to college by playing guitar in a band. He served in Bangkok held a few accounting job, and eventually joined Avani in 1980s. Over the course of the 1990s, Hetman’s happy-go-lucky character disappeared. As he climbed the ladder at Avani, he became a corporate tough guy, both respected and feared. He eventually became CEO in 2001 and administered the rapid expansion of the company. Meanwhile, Hetman learned to live big. He had a $18 million apartment in Los Angeles, a $35 million mansion in Georgia, and a $20 million yacht. He spent $25 million on art for his luxury homes. He took extravagance to the extreme, for instance, spending $5, 000 on a shower curtain. The more he made, the more he spent, and the more he allegedly stole. Although his total compensation was $160 million in 2008, it wasn’t enough. He manipulated the company’s relocation fund and Employee Loan Program to take hundreds of millions in interest-free funds. In 2010 for instance, he gave his wife $1.5 million to start a restaurant, spent $2 million on birthday party in the Hawaii Island for his wife, and gave away $50 million in corporate funds to make humanitarian contributions in his own name.

1- Which motivation theory do you think best explains Hetman’s behaviour and work performance? Justify your answer.

- Discuss two (2) factors present in the case study that most likely influence Hetman’s perception of achievement

. - Discuss what Avani International should do if symptoms of groupthink exist in the company.

please i need some extra line to answer these questions. each contain 15 marks

In: Operations Management

Consolidation spreadsheet for continuous sale of inventory - Equity method Assume that a parent company acquired...

Consolidation spreadsheet for continuous sale of inventory - Equity method
Assume that a parent company acquired a subsidiary on January 1, 2016. The purchase price was $600,000 in excess of the subsidiary’s book value of Stockholders’ Equity on the acquisition date, and that excess was assigned to the following AAP assets:


AAP Asset
Original
Amount
Original Useful
Life (years)
Property, plant and equipment (PPE), net $120,000 20
Customer list 210,000 10
Royalty agreement 150,000 10
Goodwill 120,000 indefinite
$600,000

The AAP assets with a definite useful life have been amortized as part of the parent’s equity method accounting. The Goodwill asset has been tested annually for impairment, and has not been found to be impaired.

Assume that the parent company sells inventory to its wholly owned subsidiary. The subsidiary, ultimately, sells the inventory to customers outside of the consolidated group. You have compiled the following data for the years ending 2018 and 2019:



Inventory
Sales
Gross Profit
Remaining
in Unsold
Inventory


Receivable
(Payable)
2019 $81,600 $24,000 $32,400
2018 $51,600 $14,400 $15,600

The inventory not remaining at the end of the year has been sold to unaffiliated entities outside of the consolidated group. The parent uses the equity method to account for its Equity Investment.

The financial statements of the parent and its subsidiary for the year ended December 31, 2019, follow in part d below.

a. Show the computation to yield the pre-consolidation $80,400 Income loss from subsidiary reported by the parent during 2019.

CashAccounts receivableInventoryPPE, netCustomer listRoyalty agreementGoodwillAccounts payableOther current liabilitiesLong-term liabilitiesNet income of subsidiarySalesCost of goods soldPrior year intercompany gross profitCurrent year intercompany gross profitAAP depreciationOperating expensesNet incomeEquity investmentAPICCommon stockBOY retained earningsEOY retained earningsBOY unamortized AAPDividends
Plus: AnswerCashAccounts receivableInventoryPPE, netCustomer listRoyalty agreementGoodwillAccounts payableOther current liabilitiesLong-term liabilitiesNet income of subsidiarySalesCost of goods soldPrior year intercompany gross profitCurrent year intercompany gross profitAAP depreciationOperating expensesNet incomeEquity investmentAPICCommon stockBOY retained earningsEOY retained earningsBOY unamortized AAPDividends
Less: CashAccounts receivableInventoryPPE, netCustomer listRoyalty agreementGoodwillAccounts payableOther current liabilitiesLong-term liabilitiesNet income of subsidiarySalesCost of goods soldPrior year intercompany gross profitCurrent year intercompany gross profitAAP depreciationOperating expensesNet incomeEquity investmentAPICCommon stockBOY retained earningsEOY retained earningsBOY unamortized AAPDividends
AAP depreciation
Income (loss) from subsidiary

b. Show the computation to yield the Equity Investment balance of $1,152,000 reported by the parent at December 31, 2019.

Common stock
APIC
Retained earnings
BOY unamortized AAP
BOY deferred profit
Income (loss) from subsidiary
Dividends
Equity investment

c. Prepare the consolidation entries for the year ended December 31, 2019.

d. Prepare the consolidation spreadsheet for the year ended December 31, 2019.

Elimination Entries
Parent Sub Dr Cr Consolidated
Income statement:
Sales $5,160,000 $939,600 [Isales]
Cost of goods sold (3,600,000) (564,000) [Icogs] [Icogs]
[Isales]
Gross profit 1,560,000 375,600
Income (loss) from subsidiary 80,400 [C]
Operating expenses (996,000) (243,600) [D]
Net income $644,400 $132,000
Statement of retained earnings:
BOY retained earnings $2,619,600 $486,000 [E]
Net income 644,400 132,000
Dividends (144,000) (18,000) [C]
EOY retained earnings $3,120,000 $600,000
Balance sheet:
Assets
Cash $756,000 $300,000
Accounts receivable 672,000 228,000 [Ipay]
Inventory 1,020,000 276,000 [Icogs]
PPE, net 4,800,000 516,000 [A] [D]
Customer List [A] [D]
Royalty agreement [A] [D]
Goodwill [A]
Equity investment 1,152,000 [Icogs] [C]
[E]
Answer [A]
$8,400,000 $1,320,000
Liabilities and stockholders’ equity
Accounts payable $360,000 $110,400 [Ipay]
Other current liabilities 480,000 152,400
Long-term liabilities 3,000,000 313,200
Common stock 816,000 60,000 [E] Answer Answer
APIC 624,000 84,000 [E]
Retained earnings 3,120,000 600,000
$8,400,000 $1,320,000

In: Accounting

Question 2. The following tables provide some example data that will be kept in the database....

Question 2. The following tables provide some example data that will be kept in the database. Write the INSERT commands necessary to place the following data in the tables that were created in Question 1. Alternatively provide the text files (copy and pasted into your final report) and the open/insert from file commands..

Table: actor

act_id |      act_fname       |      act_lname       | act_gender
    101 | James                | Stewart              | M
    102 | Deborah              | Kerr                 | F
    103 | Peter                | OToole               | M
    104 | Robert               | De Niro              | M
    105 | F. Murray            | Abraham              | M
    106 | Harrison             | Ford                 | M
    107 | Nicole               | Kidman               | F
    108 | Stephen              | Baldwin              | M
    109 | Jack                 | Nicholson            | M
    110 | Mark                 | Wahlberg             | M
    111 | Woody                | Allen                | M
    112 | Claire               | Danes                | F
    113 | Tim                  | Robbins              | M
    114 | Kevin                | Spacey               | M
    115 | Kate                 | Winslet              | F
    116 | Robin                | Williams             | M
    117 | Jon                  | Voight               | M
    118 | Ewan                 | McGregor             | M
    119 | Christian            | Bale                 | M
    120 | Maggie               | Gyllenhaal           | F
    121 | Dev                  | Patel                | M
    122 | Sigourney            | Weaver               | F
    123 | David                | Aston                | M
    124 | Ali                  | Astin                | F

Table: movie_cast

act_id | mov_id |              role

    101 |    901 | John Scottie Ferguson

    102 |    902 | Miss Giddens

    103 |    903 | T.E. Lawrence

    104 |    904 | Michael

    105 |    905 | Antonio Salieri

    106 |    906 | Rick Deckard

    107 |    907 | Alice Harford

    108 |    908 | McManus

    110 |    910 | Eddie Adams

    111 |    911 | Alvy Singer

    112 |    912 | San

    113 |    913 | Andy Dufresne

    114 |    914 | Lester Burnham

    115 |    915 | Rose DeWitt Bukater

    116 |    916 | Sean Maguire

    117 |    917 | Ed

    118 |    918 | Renton

    120 |    920 | Elizabeth Darko

    121 |    921 | Older Jamal

    122 |    922 | Ripley

    114 |    923 | Bobby Darin

    109 |    909 | J.J. Gittes

    119 |    919 | Alfred Borden

Table: movie

mov_id |                     mov_title                      | mov_year | mov_time |    mov_lang     | mov_dt_rel | mov_rel_country
    901 | Vertigo                                            |     1958 |      128 | English         | 1958-08-24 | UK
    902 | The Innocents                                      |     1961 |      100 | English         | 1962-02-19 | SW
    903 | Lawrence of Arabia                                 |     1962 |      216 | English         | 1962-12-11 | UK
    904 | The Deer Hunter                                    |     1978 |      183 | English         | 1979-03-08 | UK
    905 | Amadeus                                            |     1984 |      160 | English         | 1985-01-07 | UK
    906 | Blade Runner                                       |     1982 |      117 | English         | 1982-09-09 | UK
    907 | Eyes Wide Shut                                     |     1999 |      159 | English         |            | UK
    908 | The Usual Suspects                                 |     1995 |      106 | English         | 1995-08-25 | UK
    909 | Chinatown                                          |     1974 |      130 | English         | 1974-08-09 | UK
    910 | Boogie Nights                                      |     1997 |      155 | English         | 1998-02-16 | UK
    911 | Annie Hall                                         |     1977 |       93 | English         | 1977-04-20 | USA
    912 | Princess Mononoke                                  |     1997 |      134 | Japanese        | 2001-10-19 | UK
    913 | The Shawshank Redemption                           |     1994 |      142 | English         | 1995-02-17 | UK
    914 | American Beauty                                    |     1999 |      122 | English         |            | UK
    915 | Titanic                                            |     1997 |      194 | English         | 1998-01-23 | UK
    916 | Good Will Hunting                                  |     1997 |      126 | English         | 1998-06-03 | UK
    917 | Deliverance                                        |     1972 |      109 | English         | 1982-10-05 | UK
    918 | Trainspotting                                      |     1996 |       94 | English         | 1996-02-23 | UK
    919 | The Prestige                                       |     2006 |      130 | English         | 2006-11-10 | UK
    920 | Donnie Darko                                       |     2001 |      113 | English         |            | UK
    921 | Slumdog Millionaire                                |     2008 |      120 | English         | 2009-01-09 | UK
    922 | Aliens                                             |     1986 |      137 | English         | 1986-08-29 | UK
    923 | Beyond the Sea                                     |     2004 |      118 | English         | 2004-11-26 | UK
    924 | Avatar                                             |     2009 |      162 | English         | 2009-12-17 | UK
    926 | Seven Samurai                                      |     1954 |      207 | Japanese        | 1954-04-26 | JP
    927 | Spirited Away                                      |     2001 |      125 | Japanese        | 2003-09-12 | UK
    928 | Back to the Future                                 |     1985 |      116 | English         | 1985-12-04 | UK
    925 | Braveheart                                         |     1995 |      178 | English         | 1995-09-08 | UK

Table: director

dir_id |      dir_fname       |      dir_lname
    201 | Fred                 | Caravanhitch
    202 | Jackie               | Claytonburry
    203 | Greene               | Lyon
    204 | Miguel               | Camino
    205 | George               | Forman
    206 | Antartic             | Scott
    207 | Stanlee              | Carbrick
    208 | Bryon                | Sanger
    209 | Roman                | Polanski
    210 | Paul                 | Thomas Anderson
    211 | Woody                | Allen
    212 | Hayao                | Miyazaki
    213 | Frank                | Darabont
    214 | Sam                  | Mendes
    215 | James                | Cameron
    216 | Gus                  | Van Sant
    217 | John                 | Boorman
    218 | Danny                | Boyle
    219 | Christopher          | Nolan
    220 | Richard              | Kelly
    221 | Kevin                | Spacey
    222 | Andrei               | Tarkovsky
    223 | Peter                | Jackson

Table: movie_direction

dir_id | mov_id
    201 |    901
    202 |    902
    203 |    903
    204 |    904
    205 |    905
    206 |    906
    207 |    907
    208 |    908
    209 |    909
    210 |    910
    211 |    911
    212 |    912
    213 |    913
    214 |    914
    215 |    915
    216 |    916
    217 |    917
    218 |    918
    219 |    919
    220 |    920
    218 |    921
    215 |    922
    221 |    923

Table: genres

gen_id |      gen_title
   1001 | Action
   1002 | Adventure
   1003 | Animation
   1004 | Biography
   1005 | Comedy
   1006 | Crime
   1007 | Drama
   1008 | Horror
   1009 | Music
   1010 | Mystery
   1011 | Romance
   1012 | Thriller
   1013 | War

Table: movie_genres

mov_id | gen_id
    922 |   1001
    917 |   1002
    903 |   1002
    912 |   1003
    911 |   1005
    908 |   1006
    913 |   1006
    926 |   1007
    928 |   1007
    918 |   1007
    921 |   1007
    902 |   1008
    923 |   1009
    907 |   1010
    927 |   1010
    901 |   1010
    914 |   1011
    906 |   1012
    904 |   1013

Table: rating

mov_id | rev_id | rev_stars | num_o_ratings
    901 |   9001 |      8.40 |        263575
    902 |   9002 |      7.90 |         20207
    903 |   9003 |      8.30 |        202778
    906 |   9005 |      8.20 |        484746
    924 |   9006 |      7.30 |
    908 |   9007 |      8.60 |        779489
    909 |   9008 |           |        227235
    910 |   9009 |      3.00 |        195961
    911 |   9010 |      8.10 |        203875
    912 |   9011 |      8.40 |
    914 |   9013 |      7.00 |        862618
    915 |   9001 |      7.70 |        830095
    916 |   9014 |      4.00 |        642132
    925 |   9015 |      7.70 |         81328
    918 |   9016 |           |        580301
    920 |   9017 |      8.10 |        609451
    921 |   9018 |      8.00 |        667758
    922 |   9019 |      8.40 |        511613
    923 |   9020 |      6.70 |         13091

Table: reviewer

rev_id |            rev_name
   9001 | Righty Sock
   9002 | Jack Malvern
   9003 | Flagrant Baronessa
   9004 | Alec Shaw
   9005 |
   9006 | Victor Woeltjen
   9007 | Simon Wright
   9008 | Neal Wruck
   9009 | Paul Monks
   9010 | Mike Salvati
   9011 |
   9012 | Wesley S. Walker
   9013 | Sasha Goldshtein
   9014 | Josh Cates
   9015 | Krug Stillo
   9016 | Scott LeBrun
   9017 | Hannah Steele
   9018 | Vincent Cadena
   9019 | Brandt Sponseller
   9020 | Richard Adams

In: Computer Science

Bullet In the Brain by Tobias Wolff Anders couldn't get to the bank until just before...

Bullet In the Brain by Tobias Wolff

Anders couldn't get to the bank until just before it closed, so of course the line was endless and he got stuck behind two women whose loud, stupid conversation put him in a murderous temper. He was never in the best of tempers anyway, Anders - a book critic known for the weary, elegant savagery with which he dispatched almost everything he reviewed.

With the line still doubled around the rope, one of the tellers stuck a "POSITION CLOSED" sign in her window and walked to the back of the bank, where she leaned against a desk and began to pass the time with a man shuffling papers. The women in front of Anders broke off their conversation and watched the teller with hatred. "Oh, that's nice," one of them said. She turned to Anders and added, confident of his accord, "One of those little human touches that keep us coming back for more."

Anders had conceived his own towering hatred of the teller, but he immediately turned it on the presumptuous crybaby in front of him. "Damned unfair," he said. "Tragic, really. If they're not chopping off the wrong leg, or bombing your ancestral village, they're closing their positions."

She stood her ground. "I didn't say it was tragic," she said. "I just think it's a pretty lousy way to treat your customers."

"Unforgivable," Anders said. "Heaven will take note."

She sucked in her cheeks but stared past him and said nothing. Anders saw that the other woman, her friend, was looking in the same direction. And then the tellers stopped what they were doing, and the customers slowly turned, and silence came over the bank. Two men wearing black ski masks and blue business suits were standing to the side of the door. One of them had a pistol pressed against the guard's neck. The guard's eyes were closed, and his lips were moving. The other man had a sawed-off shotgun. "Keep your big mouth shut!" the man with the pistol said, though no one had spoken a word. "One of you tellers hits the alarm, you're all dead meat. Got it?"

The tellers nodded.

"Oh, bravo, " Anders said. "Dead meat." He turned to the woman in front of him. "Great script, eh? The stern, brass-knuckled poetry of the dangerous classes."

She looked at him with drowning eyes.

The man with the shotgun pushed the guard to his knees. He handed up the shotgun to his partner and yanked the guard's wrists up behind his back and locked them together with a pair of handcuffs. He toppled him onto the floor with a kick between the shoulder blades. Then he took his shotgun back and went over to the security gate at the end of the counter. He was short and heavy and moved with peculiar slowness, even torpor. "Buzz him in," his partner said. The man with the shotgun opened the gate and sauntered along the line of tellers, handing each of them a Hefty bag. When he came to the empty position he looked over at the man with the pistol, who said, "Whose slot is that?"

Anders watched the teller. She put her hand to her throat and turned to the man she'd been talking to. He nodded. "Mine," she said.

"Then get your ugly butt in gear and fill that bag."

"There you go," Anders said to the woman in front of him. "Justice is done."

"Hey! Bright boy! Did I tell you talk?"

"No," Anders said.

"Then shut your trap."

"Did you hear that?" Anders said. "'Bright boy.' Right out of 'The Killers'."

"Please be quiet," the woman said.

"Hey, you deaf or what?" The man with the pistol walked over to Anders. He poked the weapon into Anders' gut. "You think I'm playing games?'

"No," Anders said, but the barrel tickled like a stiff finger and he had to fight back the titters. He did this by making himself stare into the man's eyes, which were clearly visible behind the holes in the mask: pale blue, and rawly red-rimmed. The man's left eyelid kept twitching. He breathed out a piercing, ammoniac smell that shocked Anders more than anything that had happened, and he was beginning to develop a sense of unease when the man prodded him again with the pistol.

"You like me, bright boy?" he said. "You want to suck my dick?"

"No," Anders said.

"Then stop looking at me."

Anders fixed his gaze on the man's shiny wing-top shoes.

"Not down there. Up there." He stuck the pistol under Anders' chin and pushed it upward until Anders was looking at the ceiling.

Anders had never paid much attention to that part of the bank, a pompous old building with marble floors and counters and pillars, and gilt scrollwork over the tellers' cages. The domed ceiling had been decorated with mythological figures whose fleshy, toga-draped ugliness Anders had taken in at a glance many years earlier and afterward declined to notice. Now he had no choice but to scrutinize the painter's work. It was even worse than he remembered, and all of it executed with the utmost gravity. The artist had a few tricks up his sleeve and used them again and again - a certain rosy blush on the underside of the clouds, a coy backward glance on the faces of the cupids and fauns. The ceiling was crowded with various dramas, but the one that caught Anders' eye was Zeus and Europa - portrayed, in this rendition, as a bull ogling a cow from behind a haystack. To make the cow sexy, the painter had canted her hips suggestively and given her long, droopy eyelashes through which she gazed back at the bull with sultry welcome. The bull wore a smirk and his eyebrows were arched. If there'd been a bubble coming out of his mouth, it would have said, "Hubba hubba."

"What's so funny, bright boy?"

"Nothing."

"You think I'm comical? You think I'm some kind of clown?"

"No."

"You think you can mess with me?"

"No."

"mess with me again, you're history. Capiche?"

Anders burst our laughing. He covered his mouth with both hands and said, "I'm sorry, I'm sorry," then snorted helplessly through his fingers and said, " Capiche - oh, God, capiche," and at that the man with the pistol raised the pistol and shot Anders right in the head.

The bullet smashed Anders' skull and ploughed through his brain and exited behind his right ear, scattering shards of bone into the cerebral cortex, the corpus callosum, back toward the basal ganglia, and down into the thalamus. But before all this occurred, the first appearance of the bullet in the cerebrum set off a crackling chain of ion transports and neurotransmissions. Because of their peculiar origin these traced a peculiar patter, flukishly calling to life a summer afternoon some forty years past, and long since lost to memory. After striking the cranium the bullet was moving at 900 feet per second, a pathetically sluggish, glacial pace compared to the synaptic lighting that flashed around it. Once in the brain, that is, the bullet came under the mediation of brain time, which gave Anders plenty of leisure to contemplate the scene that, in a phrase he would have abhorred, "passed before his eyes."

It is worth noting what Ambers did not remember, given what he did remember. He did not remember his first lover, Sherry, or what he had most madly loved about her, before it came to irritate him - her unembarrassed carnality, and especially the cordial way she had with his unit, which she called Mr. Mole, as in, "Uh-oh, looks like Mr. Mole wants to play," and "Let's hide Mr. Mole!" Anders did not remember his wife, whom he had also loved before she exhausted him with her predictability, or his daughter, now a sullen professor of economics at Dartmouth. He did not remember standing just outside his daughter's door as she lectured her bear about his naughtiness and described the truly appalling punishments Paws would receive unless he changed his ways. He did not remember a single line of the hundreds of poems he had committed to memory in his youth so that he could give himself the shivers at will - not "Silent, upon a peak in Darien," or "My God, I heard this day," or "All my pretty ones? Did you say all? 0 hell-kite! All?" None of these did he remember; not one. Anders did not remember his dying mother saying of his father, "I should have stabbed him in his sleep."

He did not remember Professor Josephs telling his class how Athenian prisoners in Sicily had been released if they could recite Aeschylus, and then reciting Aeschylus himself, right there, in the Greek. Anders did not remember how his eyes had burned at those sounds. He did not remember the surprise of seeing a college classmate's name on the jacket of a novel not long after they graduated, or the respect he had felt after reading the book. He did not remember the pleasure of giving respect.

Nor did Anders remember seeing a woman leap to her death from the building opposite his own just days after his daughter was born. He did not remember shouting, "Lord have mercy!" He did not remember deliberately crashing his father's car in to a tree, of having his ribs kicked in by three policemcn at an anti-war rally, or waking himself up with laughter. He did not remember when he began to regard the heap of books on his desk with boredom and dread, or when he grew angry at writers for writing them. He did not remember when everything began to remind him of something else.

This is what he remembered. Heat. A baseball field. Yellow grass, the whirr of insects, himself leaning against a tree as the boys of the neighborhood gather for a pickup game. He looks on as the others argue the relative genius of Mantle and Mays. They have been worrying this subject all summer, and it has become tedious to Anders: an oppresssion, like the heat.

Then the last two boys arrive, Coyle and a cousin of his from Mississippi. Anders has never met Coyle's cousin before and will never see him again. He says hi with the rest but takes no further notice of him until they've chosen sides and someone asks the cousin what position he wants to play. "Shortstop," the boy says. "Short's the best position they is." Anders turns and looks at him. He wants to hear Coyle's cousin repeat what he's just said, but he knows better than to ask. The others will think he's being a jerk, ragging the kid for his grammar. But that isn't it, not at all - it's that Anders is strangely roused, elated, by those final two words, their pure unexpectedness and their music. He takes the field in a trance, repeating them to himself.

The bullet is already in the brain; it won't be outrun forever, or charmed to a halt. In the end it will do its work and leave the troubled skull behind, dragging its comet's tail of memory and hope and talent and love into the marble hall of commerce. That can't be helped. But for now Anders can still make time. Time for the shadows to lengthen on the grass, time for the tethered dog to bark at the flying ball, time for the boy in right field to smack his sweat-blackened mitt and softly chant, They is, they is, they is.

Part B: Character

From the story "Bullet in the Brain" by Tobias Wolff in the link below, Answer the questions:

1. Who is the protagonist in "Bullet in the Brain"?

2. Who or what is the main antagonist in the story "Bullet in the Brain"?

3. List the three most important characters in the story "Bullet in the Brain" and explain whether each is static or dynamic and round or flat.

In: Psychology

Lactic acid is very good at penetrating the skin. Because of this, it is used in...

Lactic acid is very good at penetrating the skin. Because of this, it is used in a number of products for skin care, such as exfoliating creams and chemical peels, and in formulations for transdermal delivery of medications, such as topical ointments and extended release patches for delivery through the skin. Lactic acid has a pKa of 3.86 in water at 25o C.

After graduation, you land your dream job at a small biotech firm specializing in novel antimicrobial agents. They have just developed a new drug, Poly-XSeption-L®, to help prevent antibiotic-resistant infections during local surgeries. Poly-XSeption-L® is to be applied to the skin at the site of the surgery in a liquid formulation containing lactic acid.

(a) The initial formulation being tested is a 1.0 wt% solution of Poly-XSeption-L® in a 0.015 M solution of aqueous lactic acid. Neglecting the effect of the antibiotic on the solution, what would you estimate the pH of this solution to be? State any assumptions you make.

(b) In clinical studies, it was found that the acidity of the initial formulation caused some problems with local irritation, and that Poly-XSeption-L® was not as effective below a pH of 4.2. It is proposed that sodium lactate be added to create a buffered solution with pH = 4.2. What concentration of sodium lactate should be used to achieve this pH?

In: Chemistry

A 6 year old male has coughing with audible expiratory wheezes and dyspnea. The child is...

A 6 year old male has coughing with audible expiratory wheezes and dyspnea. The child is pale, skin is moist and cool and he has difficulty speaking more than a few words before stopping to catch his breath. His parents state the difficult breathing had a rapid onset approximately 1 hour earlier when he was playing with the neighbor’s dog. The child has a history of previous asthma attacks, primarily after visiting his aunt’s home where there are cats.

Assessment of the child shows T 98.6, P 120, R 40 and labored. Bilateral rales are heard on auscultation, louder on expiration but also present on inspiration.   

List the assessment findings and clearly indicate if they normal/abnormal and list a reason the value would be abnormal

What test can be performed to reveal the degree of airway obstruction?

What test could be considered to help gain information on possible triggers?

Briefly describe how bronchodilators and corticosteroids help in the treatment of asthma

When considering patient education make a list of items that you could tell or show the parents/boy

In: Nursing

Please only provide short answers for the discussion topic and the case study question. No more...

Please only provide short answers for the discussion topic and the case study question. No more than 3 sentence response.

  • Discussion Topic: What are the three major causes of brain damage in childhood?
  • Discussion Topic: Why would you use distraction versus traction?

Case Study:

Adam is a 6-year-old boy who dove headfirst in the shallow end of a swimming pool. Unable to move, he sank to the bottom of the pool and was rescued by his mother. His father called the emergency medical services (EMS) while the mother provided mouth-to-mouth resuscitation. The EMS arrived and continued the resuscitation and placed him in a cervical collar. Adam was placed on a backboard and began to breathe on his own while en route to a trauma center. The neurologic assessment revealed paralysis of the upper and lower extremities, and cervical spine x-ray images and a magnetic resonance image (MRI) confirmed a C6-C7 complete transection injury. The patient was intubated before going into surgery for decompression of the injury.

  1. Into what types of shock could the patient go? What symptoms did the patient exhibit?

In: Nursing

1. Mendel crossed peas with round, green seeds with peas having wrinkled, yellow seeds. 100% of...

1. Mendel crossed peas with round, green seeds with peas having wrinkled, yellow seeds. 100% of the F1 plants had seeds that were round and yellow.
Predict the results of test-crossing these F1 plants.

a. 3/4 round, yellow; 1/4 wrinkled, green
b. 9/16 round, yellow; 3/16 round, green; 3/16 wrinkled, yellow; 1/16 wrinkled, green
c. 1/2 round, yellow; 1/2 wrinkled, green
d. 1/4 round, yellow; 1/4 round, green; 1/4 wrinkled, yellow; 1/4 wrinkled, green
e. None of the Above

2.

Identical twins are produced from the same sperm and egg (which splits after the first mitotic division), whereas fraternal twins are produced from separate sperm and separate egg cells. If two parents, one with brown eyes (a dominant trait) and the other with blue eyes (the recessive trait) produce one twin boy with blue eyes, what is the probability that a fraternal twin will transmit the blue eye allele to his or her offspring? Answer as decimal

In: Statistics and Probability