oinuoihiuohn

The Physics of Attention

Attention is the most valuable resource we have, though it is weightless, invisible, and unmeasurable by any instrument. Like energy, it cannot be created from nothing; it must be drawn from somewhere. Every choice to focus on one thing is a quiet act of neglect toward everything else. Modern life has made this trade-off more violent than ever. We live inside an ecosystem designed to fracture concentration into packets of dopamine. Notifications, feeds, and algorithms are...

See on Student Notes »

adm3301

Adam Smith                          Productivity                                      Measurement Quality Issues 

laid out fundamentals of.       ratio of output/factor of input           Quality may change while quantity/output remains 

labour specialization in the.   (new system - current)/current =%  External elements may distort measurement

18th century                                                               

...

See on Wikiteka »

media

Discuss the function of Media planning in advertising.

Media planning involves determining the most effective way to deliver advertising messages to the right audience through the right media channels.

  • Identifying target audience based on demographic, psychographic, and behavioral factors.
  • Selecting appropriate media channels such as TV, print, digital, or outdoor.
  • Deciding on timing and frequency to maximize impact.
  • Allocating budget effectively across media platforms.
  • Maximizing reach and frequency
...

See on Student Notes »

deeed

မှန် မှား မှား မှား မှန်
စက်ယန္တရား သစ်တော ပိုင်ဆိုင်မှု ၁၉၄၀ သဘာဝဓာတ်ငွေ့
(က) (ခ) (က) (ဂ) (ခ)

-သမပိုင်းသစ်တောများတွင် မြေထဲပင်လယ်သစ်တော၊ သမပိုင်းရွက်ပြန့်တော၊ရွက်ပြန့်နှင့် ထင်းရှူးရောနှောတော၊ထင်းရှူးတောများ

...

See on Student Notes »

cccccc

What do you mean by Cloud Computing? Explain the various deployment models of cloud

Cloud Computing:
Cloud computing is a model of delivering IT resources such as servers, storage, applications, and networking over the internet on demand. It eliminates the need for owning physical infrastructure and follows a “pay-as-you-go” approach, providing scalability, flexibility, and cost efficiency.

Deployment Models of Cloud Computing:

  1. Public Cloud

    • Operated by third-party providers and delivered

...

See on Student Notes »

Rishi


Difference Between User-Level Thread (ULT) and Kernel-Level Thread (KLT)

Feature User-Level Thread (ULT) Kernel-Level Thread (KLT)
Managed by Thread library at user level Managed directly by OS kernel
Creation / Switching Fast, no kernel involvement Slower, requires kernel intervention
Scheduling Done by thread library in user space Done by OS scheduler
Blocking If one thread blocks, all threads may block One thread blocking does not affect others
Portability Portable across OS
...

See on Student Notes »

economics

Session 1:    orthodox neo clsscl: based of rational choice, may not consider people deviate from this model ≠ Behavioral eco: behaviors deviates in systematic and predictable ways (irrational) ealry neo classlc: hedonic psych maximize pleasure minimize pain post-war neo:refernces to unobservable mental states were unscientifc, they focused on choices of individudals that "mirrored preferences" / Methodo of Behavioral eco: laboratory experiments/field expirements/ process measures (brain scans&

...

See on Student Notes »

oftalmo 1

1. ¿Qué ocurre en la 7ma semana en el desarrollo embrionario del ojo?

El ojo primitivo está formado, se cierra la hendidura fetal y se inicia el proceso de diferenciación palpebral con la función del ectodermo anterior. Empieza el desarrollo de la musculatura intrínseca y extrínseca, la formación de pestañas y glándulas anexas, que derivan del ectodermo superior. El mesodermo se condensa alrededor de la vesícula óptica secundaria para formar la coroides y la esclerótica.

2. Citar 3

...

See on Wiki Biología »

statss

 Repeat 1000 times the experiment you performed in Task 1, that is rolling a tetrahedron die 10 times and computing the average. Report the average and standard deviation of the 1000 experiments. The standard deviation function in R is sd(x).

S = 1000
rolls.avgs = vector(length = S)

for(simnum in 1:S){
  x = 1:4
  roll = sample(x, 10, replace = TRUE)
  rolls.avgs[simnum] = mean(roll)
}

mean(rolls.avgs)
sd(rolls.avgs)

# compute the mean of the 1000 experiments
mean(rolls.avgs)
hist(rolls.avgs, main="

...

See on Student Notes »