It is important not to delay transfer to perform an in- depth diagnostic evaluation.

Patient populations that warrant special consideration during initial assessment are children, pregnant women, older adults, obese patients, and athletes.

Children typically have abundant physiologic reserve and often have few signs of hypovolemia, even after severe volume depletion. When deterioration does occur, it is precipitous and catastrophic.

Early recognition of pregnancy by palpation of the abdomen for a gravid uterus and laboratory testing (e.g., human chorionic gonadotropin [hCG]), as well as early fetal assessment, are important for maternal and fetal survival.

Trauma is an increasing cause of death in older adults

Because of their excellent conditioning, athletes may not manifest early signs of shock, such as tachycardia and tachypnea. They may also have normally low systolic and diastolic blood pressure.

The secondary survey does not begin until the primary survey (ABCDE) is completed, resuscitative efforts are under way, and improvement of the patient’s vital functions has been demonstrated.

When additional personnel are available, part of the secondary survey may be conducted while the other personnel attend to the primary survey. This method must in no way interfere with the performance of the primary survey, which is the highest priority.

The secondary survey is a head-to-toe evaluation of the trauma patient—that is, a complete history and physical examination, including reassessment of all vital signs. Each region of the body is completely examined. The potential for missing an injury or failing to appreciate the significance of an injury is great, especially in an unresponsive or unstable patient.

Every complete medical assessment includes a history of the mechanism of injury. Often, such a history cannot be obtained from a patient who has sustained trauma; therefore, prehospital personnel and family must furnish this information. The AMPLE history is a useful mnemonic for this purpose: • Allergies • Medications currently used • Past illnesses/Pregnancy • Last meal • Events/Environment related to the injury

Injuries are divided into two broad categories: blunt and penetrating trauma

Patients with maxillofacial or head trauma should be presumed to have a cervical spine injury (e.g., fracture and/or ligament injury), and cervical spine motion must be restricted.

Radiographic evaluation can be avoided in patients who meet The National Emergency X-Radiography Utilization Study (NEXUS) Low-Risk Criteria (NLC) or Canadian C-Spine Rule (CCR).

Examination of the neck includes inspection, palpation, and auscultation.

Trauma patients must be reevaluated constantly

Here is a screenshot of nvtop of it in action.

Automatically answer 'Yes' when using apt-get install

apt-get -y install [packagename]

How to Connect to PostgreSQL from Python?

In order to connect to a PostgreSQL database instance from your Python script, you need to use a database connector library. In Python, you have several options that you can choose from. Some libraries that are written in pure Python include pg8000 and py-postgresql. But the most popular and widely-known one is Psycopg2.

library(ggcharts)
(p <- bar_chart(cyl, cyl, pct))

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Next, let’s try to change the axis labels to include a percentage sign using the ...

p + scale_y_continuous(labels = scales::percent)

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Something is not right here! 4000%!? That seems a bit excessive. The problem here is that by default scales::percent() multiplies its input value by 100. This can be controlled by the scale parameter.

scales::percent(100, scale = 1)

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## [1] "100%"

However, scale_y_continuous() expects a function as input for its labels parameter not the actual labels itself. Thus, using percent() is not an option anymore. Fortunately, the scales package offers a function called percent_format() that returns the percent() function with changed defaults.

pct1 <- scales::percent_format(scale = 1)
pct1(100)

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## [1] "100%"

Passing this function to labels produces the desired result.

p + scale_y_continuous(labels = scales::percent_format(scale = 1))

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How do you check the login tokens for all running jupyter notebook instances?

jupyter notebook list

User name: ravi

# passwd --expire ravi

How to Force User to Change Password at Next Login in Linux

Using passwd Command

To force a user to change his/her password, first of all the password must have expired and to cause a user’s password to expire, you can use the passwd command, which is used to change a user’s password by specifying the -e or --expire switch along with username as shown.

How to Force User to Change Password at Next Login in Linux

User name: ravi

# passwd --expire ravi