Common Letter Endings in Spanish

Hispania ◽  
1926 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
E. H. Templin ◽  
A. D. Aguerrevere
Keyword(s):  
Common Letter

How to Protect Yourself from Hoaxes, Frauds, and Identity Theft

2004 ◽  
Author(s):  
Jerry Pournelle
Keyword(s):  
Cell Phones ◽  
Identity Theft ◽  
The Internet ◽  
False Information ◽  
Primary Object ◽  
Common Letter ◽  
Bill Gates ◽  
Wrong Number ◽  
E Mail ◽  
Endless Variety

There are two basic categories of Internet lies: frauds, where the object is to get your money, and hoaxes, where the primary object is just to pull your chain, but there can be far-reaching consequences as well. Hoaxes give the perpetrators ego gratification as they watch their creation spread throughout the Internet. Frauds may give the perpetrators your life savings, and give you months—maybe years—of hassle as you try to repair your credit record and retrieve your very identity. Hoaxes—Hoaxes are spread by e-mail and come in an endless variety of guises. There are, for example, fake virus warnings, chain letters promising riches if you follow their instructions (or threatening dire consequences if you don’t); urban myths about women in peril, dogs in microwaves, and hypodermic needles on theater seats; letters that tug at your heart strings or appeal to your greedy side; Internet petitions (often based on false information); and letters claiming that Bill Gates wants to give you money. Yeah, right. Even the most “innocent” hoaxes are harmful. At the very least, they take up your time, and they try to get you to forward them to other people as well. If you forward a letter to just 40 people, and each of them does the same, and so on, then after just four steps, more than two and a half million copies will have been sent out. That’s a lot of wasted time and wasted bandwidth. These letters can also contain dangerous misinformation and bad advice. One example is a common letter advising women not to stop when pulled over by the highway patrol, but instead to dial #77 on their cell phones to talk to the police—a wrong number in 48 of the 50 states! Perhaps the most common example is the virus hoax—typically a letter forwarded by someone you know warning you that if you find a certain file on your computer it means you are infected with a virus.

O. Kornienko. Play-element poetics in literature

2019 ◽  
pp. 282-285
Author(s):  
S. I. Kormilov
Keyword(s):  
Russian Literature ◽  
The Internet ◽  
Wide Spread ◽  
Visual Poetry ◽  
Literary Genres ◽  
Common Letter ◽  
Play Elements

The author of the book review argues that, contrary to I. Huizinga’s belief, the play mode of 20th c. literature, especially in its earliest and latest periods, is more pronounced. Russian literature, including its non-official variety, is compared with its foreign peers, starting from antiquity (visual poetry). Along with wide-spread play-elements, the author singles out fairly uncommon ones: to illustrate the use of a lipogram, she references G. Perec’s novel La Disparition (1969), whose 300 pages are written without using the letter e, the most common letter in French. She also follows numerous remarkable features of national or ethnic mentalities reflected in speech. The author describes the principles of encoding, common-usage interpretations, text reductions and thickenings, volume restrictions, etc. She pays special attention to the interaction of literature with non-verbal artistic techniques, especially its synthesis with painting (and more broadly, with images) and music. The book gives examples of the Internet penetrating the system of literary genres.

THE EFFECT OF ALFALFA AS A SOURCE OF FIBER IN STARTER DIETS FOR HEIFER CALVES

1982 ◽  
Vol 62 (2) ◽  
pp. 459-465
Author(s):  
L. J. FISHER
Keyword(s):  
Body Weight ◽  
Feed Efficiency ◽  
Dry Matter ◽  
Free Choice ◽  
Dairy Calves ◽  
Blood Components ◽  
Dry Matter Digestibility ◽  
Bull Calves ◽  
Common Letter ◽  
Whole Milk

Starter diets were formulated to contain 6.6, 12.4, 17.7 and 21.9% fiber by the addition of 0, 20, 40 and 60% reground dehydrated alfalfa to a barley-based concentrate. Sixty Holstein heifer calves were randomly assigned at birth to one of these four diets which were fed free choice from 7 to 70 days of age. Whole milk was fed at 10% of body weight from birth to 56 days. Dry matter intakes were 0.47a, 0.59ab, 0.61b and 0.60ab kg/day and body weight gains were 0.44a, 0.58b, 0.69b and 0.56ab kg/day for diets containing, 0, 20, 40 and 60% alfalfa, respectively (means followed by a common letter are not significantly different (P < 0.05)). Diet did not influence blood components except for blood urea nitrogen which was higher for calves fed diets containing 40 and 60% alfalfa. The amount of fiber in the diet did not influence the incidence of scouring or other disorders. Calves which had scoured for 2 or more days had reduced rates of gain and feed efficiency compared with heifers that did not scour. Dry matter digestibility, as estimated by total fecal collections from six bull calves per diet, was 85.4, 78.7, 73.7 and 75.1 for the diets containing 0, 20, 40 and 60% ground dehydrated alfalfa, respectively. Key words: Alfalfa, dairy calves, digestibility, scours, feed efficiency

scholarly journals Exploratory Data Analysis on Username-Password Dataset

2021 ◽  
pp. 5-14
Author(s):  
Vanita Jain1 ◽  
◽  
◽  
◽  
Mahima Swami ◽  
...  
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
General Trend ◽  
Personal Information ◽  
Average Length ◽  
First Line ◽  
Common Letter ◽  
Exploratory Data ◽  
Character Set ◽  
Password Strength

Passwords act as a first line of defense against any malicious or unauthorized access to one's personal information. With the increasing digitization, it has now become even more important to choose strong passwords. In this paper, the authors analyze a 100 million Email-Password Database to perform Exploratory Data Analysis. The analysis provides valuable insights on statistics about the most common passwords being used, character set of passwords, most common domains, average length, password strength, frequencies of letters, numbers, symbols (special characters), most common letter, most common number, most common symbol, the ratio of letters, numbers, symbols in passwords which highlights the general trend that users follow while creating passwords. Using the results of this paper, users can make intelligent decisions while creating passwords for themselves, i.e., not opting for the most common features that will help them create robust and less vulnerable passwords.

scholarly journals How to apply the evidence-based recommendations for greater health equity into policymaking and action at the local level?

2018 ◽  
Vol 46 (22_suppl) ◽  
pp. 28-36 ◽  
Author(s):  
Jolanda Van Vliet
Keyword(s):  
Local Level ◽  
Final Report ◽  
Evidence Based ◽  
Equity In Health ◽  
Organization Model ◽  
Explanatory Factors ◽  
Common Letter ◽  
Scientific Report ◽  
Proportionate Universalism

In 2014, the regional commission for equity in health in the Swedish region of Östergötland, the Östgötacommission, presented their scientific report on health inequities and possible explanatory factors in the region as well as evidence-based recommendations to reduce health disparities. The final report with its 66 recommendations was officially approved by politicians across parties in the region. In the next step, out of the 66 recommendations, 10 areas of action were politically prioritized and declared in a common letter of intent signed by representatives from the municipalities and the Region of Östergötland. Now, these evidence-based recommendations and political areas of action are to be applied into policymaking and action at the local level. In this paper, this transferral process is reflected upon with the local example of the Norrköping municipality and their work with social investments. It is suggested to start with follow-up and evaluation of local action from the perspective of proportionate universalism, followed by local processes based on the organization model described here and earlier used at the regional level.

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