A) Do you agree with Professor Szakas that it is likely that there w.pdf
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A) Do you agree with Professor Szakas that it is likely that there will always be complementary work for humans to do if technology displaces our own field of work, or do you agree with John Danaher that it is likely that in the future most or all jobs will be displaced by technology? Defend your position. What are some strategies to address the future of work that you foresee? B) As work has shifted in many industries to include: 1) more gig work, 2) more telecommuting, 3) more offshoring, what do you see as the biggest benefits and challenges of these shifts? How should individuals, institutions and government respond to these changes? As an individual who may be looking for work in the future, have these shifts affected your thinking about your future work?.
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a) With the help of a figure explain when the NPV and IRR rules woul.pdf
a) With the help of a figure explain when the NPV and IRR rules would lead to different and
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a) The smallest number in hexadecimal form that will cause the H fla.pdf
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Abstract Classes, Virtual Functions and Polymorphism Code Review.pdf
Abstract Classes, Virtual Functions and Polymorphism Code Review
Create a C++ project to demonstrate how abstract classes and virtual functions implement
polymorphism.
The project code is a project of your choosing. It is to be a cohesive project that executes
something and not random code samplings.
The project code should:
*show the implementation of at least one abstract class and one virtual function
*show how polymorphism is achieved through the implementation of at least one abstract class
and one virtual function
*document the code through the descriptive naming
*show actual documentation of the code on a high level explaining the logic of the application.
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a) With the help of a figure explain when the NPV and IRR rules woul.pdf
a) With the help of a figure explain when the NPV and IRR rules would lead to different and
similar project investment decisions for a CFO. [Capital Structure]
b) Some CEOs/CFOs are concerned that issuing shares will have a negative impact on their share
price because of the dilution in the earnings per share. (i) Explain what is meant by dilution in
the earnings per share. (ii) Will issuing shares always lead to a dilution in earnings per share?
Explain..
a) Flow of protonsb) Flow of electronsc) NADH Gradient d) Flow.pdf
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a) Electron transport chain
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Flow of water.
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polymorphism.
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something and not random code samplings.
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*show the implementation of at least one abstract class and one virtual function
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a) In the Serba Dinamik Holdings Bhd (SDHB) case context, what are t.pdf
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internal service funds are not being used by the reporting entity, does the report disclose how
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Aaron Feuerstein, presidente de Malden Mills, celebr� su cumplea�os .pdf
Aaron Feuerstein, presidente de Malden Mills, celebr su cumpleaos nmero 70 en una fiesta
familiar la noche del 11 de diciembre de 1995. Al mismo tiempo, a menos de 30 millas de
distancia, su fbrica estall en llamas. A la medianoche, un oficial de la compaa convoc a
Feuerstein a la escena. En juego estaba el futuro de ms de 3.000 empleados y sus familias. Lo
que pas en las prximas 72 horas son las agallas y la gloria de esta historia.
Feuerstein y su equipo directivo necesitaban una gestin de crisis eficaz y una comunicacin
inmediata para aprovechar la reserva de buena voluntad de los empleados de la empresa. En un
entorno empresarial de despidos, fusiones y recortes, se supona que un incendio de esta magnitud
pondra fin a una era para Malden Mills, pero esa no era la forma de hacer negocios de
Feuerstein, ni lo haba sido en los 90 aos desde que su abuelo comenz. el negocio en la ciudad
industrial de Lawrence, Massachusetts.
Historia del Molino
Malden Mills es un molino de propiedad y operacin familiar situado en las orillas del ro de
Lawrence, Massachusetts. Durante la Revolucin Industrial, el ro Merrimack fue el hogar de
muchas fbricas textiles. Con el paso de los aos y a medida que avanzaba la tecnologa, la mayora
de estos ingenios fueron abandonados por zonas con mano de obra ms barata. Feuerstein,
contrario a la tendencia de reducir los costos laborales para aumentar las ganancias, se mud a
esos molinos vacos. "Depende de su visin del negocio", fue su comentario.
La visin de negocios de Feuerstein:
Los empleados son activos
Feuerstein es un judo devoto y su creencia impulsa su toma de decisiones. Una piedra angular de
su pensamiento es un dicho de 2000 aos de antigedad de la tradicin juda: Cuando todo es un caos
moral, haz todo lo posible por ser un "mensch", un hombre de principios elevados. Malden Mills
no tena junta directiva ni accionistas. Feuerstein respondi a su propio sistema de creencias, y su
sabidura fue evidente:
En 1980, Malden Mills se declar en bancarrota bajo el captulo 11 y despidi a los trabajadores.
Se impuls agresivamente la investigacin y el desarrollo, haciendo una inversin en valor de marca.
De ah surgi el descubrimiento de los tejidos ligeros, resistentes y similares a la lana bajo las
marcas Polar Fleece y Polar Tec. Esto puso a Malden Mills nuevamente en el negocio.
Feuerstein volvi a contratar a todos los trabajadores que haba despedido despus de la quiebra.
Feuerstein conoce la correlacin entre empleados leales y clientes leales La retencin de clientes
en Malden Mills alcanz aproximadamente el 95 por ciento, lo cual es de primera clase.
Los principales minoristas como LL Bean, Eddie Bauer, Lands' End, Patagonia y North Face
venden los productos de Malden Mills no solo como una imagen en un catlogo, sino tambin con
la historia del producto y la lnea de la empresa.
Malden Mills es un taller sindicalizado y durante mucho tiempo ha invertido mucho en
tecnologa que elimina puestos de trabajo, pero nunca ha tenido un.
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compuesto de slice?
B.) Un estrato expuesto en la base de un acantilado vertical contiene conchas fsiles de almejas
que descansan en su "posicin de vida" dentro de la roca. Varios metros por encima de este
estrato, otro lecho contiene la misma especie de almejas, pero las conchas estn desgastadas, rotas
y revueltas dentro de la roca. Qu inferencia tafonmica se puede hacer a partir de estas
observaciones?
C.) Teniendo en cuenta que la arenisca es ms permeable que el esquisto, sera ms probable
encontrar los restos inalterados de una almeja en arenisca o esquisto? Por qu?
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A U.S. firm holds an asset in Israel and faces the following scenario:
where,
P* = Israeli shekel (IS) price of the asset held by the U.S. firm
P = Dollar price of the same asset
The expected value of the investment in U.S. dollars is:
Group of answer choices
$6,250.00
$2,083.33
$6,562.50
$762.50State 1State 2State 3Probability25%50%25%Spot
rate$0.30/IS$0.20/IS$0.15/ISP*IS2,000IS5,000IS3,000P$600$1,000$4,50.
A. Write an application where the main method holds two double varia.pdf
A. Write an application where the main method holds two double variables. Assign values to the
variables. Pass both variables to a method named computePercent() that displays the two values
and the value of the first number as a percentage of the second one. Save the file as
Percentages.java. Example: If the numbers are 2.0 and 5.0 Output: 2.0 is 40 percent of 5.0.
B. Modify the program above (Percentages.java) to accept values of the two doubles in the main
method from a user at the keyboard. Save the file as UserPercentages.java. Output: Enter in two
numbers: 2.0 5.0 2.0 is 40 percent of 5.0.
A. What must be true for the transcription of the trp operon to be a.pdf
A. What must be true for the transcription of the trp operon to be attenuated?
B. what is the loop that forms in the RNA when transcription is attenuated called?
Long once:.
a. Using the data from the table, for all death calculate 1) The pr.pdf
a. Using the data from the table, for all death calculate: 1) The probability of death at the exact
time when each death occurred
Survival data for 20 participants of a hypothetical prospective
Follow-up time (months)
Event
Total of participant
ni
Probability of death at exact time when death occurred
qi = d/ni
Probability of survival beyond time when death occurred
Pi = 1-qi
Conditional peobability of survival
Cumulative probability of survival beyond time when death occurred
Si
Kaplan-Meier survival suntion
2
Death
20
1/20 = 0.050
19/20= .950
0.950
4
Censored
19
7
Censored
18
8
Death
17
1/17 =0.059
16/17=.0941
19/20 x 16/17 = 0.894
12
Censored
16
15
Death
15
1/15= 0.067
14/15=0.933
0.834102
17
Death
14
1/14= 0.071
13/14=0.929
0.774880
19
Death
13
1/13=0.077
12/13=0.923
0.715214
20
Censored
12
23
Death
11
1/11= 0.091
10/11=0.909
0.650130
b. What is the cumulative survival probability at the end of the follow -up period?
C. Using arithmetic graph paper, plot the cumulative probability of survival
d. What is the simple proportion of individual apparently surviving thought the end of the
studys observation period?
e. Why are the simple proportion surviving and the cumulative probability of survival are
different?
f. Using the same data, calculate the overall death rate per 100 person-years. (To facilitate your
calculations, you may wish to calculate the number of person -months and then convert that in
the number of person-years).
g. Calculate the rates separately for the first and second years of follow-up. (For this calculation,
assume that the individual who withdrew at month 12 withdrew just after midnight on the last
day of the month).
h. Assuming that there was no random variability, was it appropriate the calculate the rate per
person per year for the 2-year duration of the follow-up?
i. What is the most important assumption underlying the use of both survival analysis and the
person-time period approach?
j. Now, assume that the length of follow was the same for all individuals (except those who
died). Calculate the proportion of deaths and the odds of death in this cohort.
k. Why are these figures so different in the study?
Survival data for 20 participants of a hypothetical prospective
Follow-up time (months)
Event
Total of participant
ni
Probability of death at exact time when death occurred
qi = d/ni
Probability of survival beyond time when death occurred
Pi = 1-qi
Conditional peobability of survival
Cumulative probability of survival beyond time when death occurred
Si
Kaplan-Meier survival suntion
2
Death
20
1/20 = 0.050
19/20= .950
0.950
4
Censored
19
7
Censored
18
8
Death
17
1/17 =0.059
16/17=.0941
19/20 x 16/17 = 0.894
12
Censored
16
15
Death
15
1/15= 0.067
14/15=0.933
0.834102
17
Death
14
1/14= 0.071
13/14=0.929
0.774880
19
Death
13
1/13=0.077
12/13=0.923
0.715214
20
Censored
12
23
Death
11
1/11= 0.091
10/11=0.909
0.650130.
A. SupuestosB. L�neas de baseC. ProcesosD. Limit.pdf
A. Supuestos
B. Lneas de base
C. Procesos
D. Limitaciones
.
a. Si las personas que viven en alg�n lugar de la galaxia A observan.pdf
a. Si las personas que viven en algn lugar de la galaxia A observan el movimiento de sus galaxias
vecinas, qu notarn? Por qu podran pensar que su propia galaxia es el centro del universo? bb
Observaran las personas en una galaxia diferente el mismo efecto general, o algo diferente?. C. A
medida que pasa el tiempo, el universo real se comporta como este globo. Qu crees que deben
haber observado nuestros astrnomos sobre el movimiento de nuestras galaxias vecinas?.
a. Los procesos para producir penicilina y queso azul utilizan el ho.pdf
a. Los procesos para producir penicilina y queso azul utilizan el hongo Penicillium .
b. Los rganos reproductivos de Amanita muscaria son ingredientes populares para pizza.
C. Se cree que el hongo Claviceps purpurea desencaden los infames juicios de brujas de Salem.
d.Saccharomyces cerevisiae es un moho de pan domstico comn.
mi. Los aceites de los lquenes se utilizan como base en la produccin de perfumes.
F. Los quitridios son parsitos que devastan poblaciones enteras de ganado..
A Strategic Approach: GenAI in Education
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH ANSWERS.
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inmediata para aprovechar la reserva de buena voluntad de los empleados de la empresa. En un
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Lawrence, Massachusetts. Durante la Revolucin Industrial, el ro Merrimack fue el hogar de
muchas fbricas textiles. Con el paso de los aos y a medida que avanzaba la tecnologa, la mayora
de estos ingenios fueron abandonados por zonas con mano de obra ms barata. Feuerstein,
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Feuerstein volvi a contratar a todos los trabajadores que haba despedido despus de la quiebra.
Feuerstein conoce la correlacin entre empleados leales y clientes leales La retencin de clientes
en Malden Mills alcanz aproximadamente el 95 por ciento, lo cual es de primera clase.
Los principales minoristas como LL Bean, Eddie Bauer, Lands' End, Patagonia y North Face
venden los productos de Malden Mills no solo como una imagen en un catlogo, sino tambin con
la historia del producto y la lnea de la empresa.
Malden Mills es un taller sindicalizado y durante mucho tiempo ha invertido mucho en
tecnologa que elimina puestos de trabajo, pero nunca ha tenido un.
A.) En vida, casi todos los caracoles (Clase Gastropoda) construyen .pdf
A.) En vida, casi todos los caracoles (Clase Gastropoda) construyen sus caparazones con
carbonato de calcio. Qu tipo de fosilizacin probablemente ha ocurrido en un caracol fsil que est
compuesto de slice?
B.) Un estrato expuesto en la base de un acantilado vertical contiene conchas fsiles de almejas
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estrato, otro lecho contiene la misma especie de almejas, pero las conchas estn desgastadas, rotas
y revueltas dentro de la roca. Qu inferencia tafonmica se puede hacer a partir de estas
observaciones?
C.) Teniendo en cuenta que la arenisca es ms permeable que el esquisto, sera ms probable
encontrar los restos inalterados de una almeja en arenisca o esquisto? Por qu?
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A U.S. firm holds an asset in Israel and faces the following scenari.pdf
A U.S. firm holds an asset in Israel and faces the following scenario:
where,
P* = Israeli shekel (IS) price of the asset held by the U.S. firm
P = Dollar price of the same asset
The expected value of the investment in U.S. dollars is:
Group of answer choices
$6,250.00
$2,083.33
$6,562.50
$762.50State 1State 2State 3Probability25%50%25%Spot
rate$0.30/IS$0.20/IS$0.15/ISP*IS2,000IS5,000IS3,000P$600$1,000$4,50.
A. Write an application where the main method holds two double varia.pdf
A. Write an application where the main method holds two double variables. Assign values to the
variables. Pass both variables to a method named computePercent() that displays the two values
and the value of the first number as a percentage of the second one. Save the file as
Percentages.java. Example: If the numbers are 2.0 and 5.0 Output: 2.0 is 40 percent of 5.0.
B. Modify the program above (Percentages.java) to accept values of the two doubles in the main
method from a user at the keyboard. Save the file as UserPercentages.java. Output: Enter in two
numbers: 2.0 5.0 2.0 is 40 percent of 5.0.
A. What must be true for the transcription of the trp operon to be a.pdf
A. What must be true for the transcription of the trp operon to be attenuated?
B. what is the loop that forms in the RNA when transcription is attenuated called?
Long once:.
a. Using the data from the table, for all death calculate 1) The pr.pdf
a. Using the data from the table, for all death calculate: 1) The probability of death at the exact
time when each death occurred
Survival data for 20 participants of a hypothetical prospective
Follow-up time (months)
Event
Total of participant
ni
Probability of death at exact time when death occurred
qi = d/ni
Probability of survival beyond time when death occurred
Pi = 1-qi
Conditional peobability of survival
Cumulative probability of survival beyond time when death occurred
Si
Kaplan-Meier survival suntion
2
Death
20
1/20 = 0.050
19/20= .950
0.950
4
Censored
19
7
Censored
18
8
Death
17
1/17 =0.059
16/17=.0941
19/20 x 16/17 = 0.894
12
Censored
16
15
Death
15
1/15= 0.067
14/15=0.933
0.834102
17
Death
14
1/14= 0.071
13/14=0.929
0.774880
19
Death
13
1/13=0.077
12/13=0.923
0.715214
20
Censored
12
23
Death
11
1/11= 0.091
10/11=0.909
0.650130
b. What is the cumulative survival probability at the end of the follow -up period?
C. Using arithmetic graph paper, plot the cumulative probability of survival
d. What is the simple proportion of individual apparently surviving thought the end of the
studys observation period?
e. Why are the simple proportion surviving and the cumulative probability of survival are
different?
f. Using the same data, calculate the overall death rate per 100 person-years. (To facilitate your
calculations, you may wish to calculate the number of person -months and then convert that in
the number of person-years).
g. Calculate the rates separately for the first and second years of follow-up. (For this calculation,
assume that the individual who withdrew at month 12 withdrew just after midnight on the last
day of the month).
h. Assuming that there was no random variability, was it appropriate the calculate the rate per
person per year for the 2-year duration of the follow-up?
i. What is the most important assumption underlying the use of both survival analysis and the
person-time period approach?
j. Now, assume that the length of follow was the same for all individuals (except those who
died). Calculate the proportion of deaths and the odds of death in this cohort.
k. Why are these figures so different in the study?
Survival data for 20 participants of a hypothetical prospective
Follow-up time (months)
Event
Total of participant
ni
Probability of death at exact time when death occurred
qi = d/ni
Probability of survival beyond time when death occurred
Pi = 1-qi
Conditional peobability of survival
Cumulative probability of survival beyond time when death occurred
Si
Kaplan-Meier survival suntion
2
Death
20
1/20 = 0.050
19/20= .950
0.950
4
Censored
19
7
Censored
18
8
Death
17
1/17 =0.059
16/17=.0941
19/20 x 16/17 = 0.894
12
Censored
16
15
Death
15
1/15= 0.067
14/15=0.933
0.834102
17
Death
14
1/14= 0.071
13/14=0.929
0.774880
19
Death
13
1/13=0.077
12/13=0.923
0.715214
20
Censored
12
23
Death
11
1/11= 0.091
10/11=0.909
0.650130.
A. SupuestosB. L�neas de baseC. ProcesosD. Limit.pdf
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B. Lneas de base
C. Procesos
D. Limitaciones
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medida que pasa el tiempo, el universo real se comporta como este globo. Qu crees que deben
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