Sentences Generator
And
Your saved sentences

No sentences have been saved yet

24 Sentences With "most naive"

How to use most naive in a sentence? Find typical usage patterns (collocations)/phrases/context for "most naive" and check conjugation/comparative form for "most naive". Mastering all the usages of "most naive" from sentence examples published by news publications.

I drew myself naked, talked about being wet, and explored my most naive moments.
But only the most naive observer would maintain these probes aren't at least somewhat politically motivated.
In Julie, you see your most naive, trusting self, but also all the friends you should have warned, or comforted, or helped.
The most naive implementation would be just using a camera to record everything behind the object and then projecting that on the front of the object.
After all, if the movement of the background lagged the camera by more than a handful frames it would be noticeable to even the most naive viewer.
"I'm not at all worried ... Even the most naive analysts know that at this moment there is a trade war going on between the United States and China," he told reporters.
Another reason affinity fraud is so hard to beat is that, like any predator, an affinity fraudster targets the weakest of the flock — those who are the most trusting, and in many cases, the most naive.
Even the most naive internet user would find it hard to believe that in a major agency of a modern bureaucracy, a serious attack on its internet infrastructure, concerning a major internet policy, would fail to be discussed online.
Can Britain combat the self-exclusion of some of its Muslims, the anti-Semitism that infects their politics and the radicalisation of the most naive among them without prominent Muslims in public life who have first-hand experience of these problems and their causes?
Edgerton plays him like the happiest, most naive police officer in the history of film, and while he's estranged from other orcs, he also can't fit in with the rest of the cops who resent his presence in the LAPD as part of a diversity program.
Camille Pissarro, c. 1900 During the period Pissarro exhibited his works, art critic Armand Silvestre had called Pissarro the "most real and most naive member" of the Impressionist group.Kelder, Diane. The Great Book of French Impressionism, Abbeville Press (1980) pp.
Arguably the most naive of the Stark children at the start of the series, Sansa often finds herself used as a pawn in the machinations of the other characters. However, as the story progresses, she matures and becomes more of a player of the game rather than a pawn for other characters.
Memorial of Hebel by Wilhelm Gerstel in the Hebelpark, Lörrach Hebel's admirers include Goethe, Gottfried Keller, Martin Heidegger, W. G. Sebald and Tolstoy. Goethe, who tried to write a poem (the "Schweizerlied", Swiss song) in Alemannic himself, praised the Allemannische Gedichte highly. According to him, Hebel "countrified the universe in the most naive, graceful fashion".Oellers, Johann Peter Hebel, p.
The central characters are four teenage Latinos: China, Roxy, Hugo, and Manos; supporting characters are The Twins. China is the leader of the group who is usually the most naive of all of them. She has a lot of confidence and is very attractive and popular. She is usually the voice of reason between the group and is the most considerate.
Fairbank-Hynes opined that posh characters in Walford stand out and can bring comedy to the show. Stevie is very naive and, according to Fairbank-Hynes, "away with the fairies"—the most naive person anyone could meet. However, writer Emer Kenny was worried that Stevie being "away with the fairies" would make her unrealistic, but said that Fairbank-Hynes made the character recognisable. Because of Stevie's naivety and her kind nature, people see this as an invitation to take advantage of her.
However, she is betrayed and killed by her assistant Judas as the final hour grows near. Despite her being "K" and having intentions to destroy Tokyo, her death was particularly hard for Fujimaru to take, who continues to feel some regret over it in the second season. Portrayed by: Eri Tokunaga (TV drama) ; : A 2nd year and a member of the Newspaper Club. He seems to be most naive and the least intelligent of the club, but he tries to help Fujimaru in any way he can.
" The San Francisco Chronicle's John Carman called Hargitay "the show's weakest performer" when the series originally premiered in 1999. In 2006, however, fellow San Francisco Chronicle writer Jean Gonick deemed Benson a suitable role model for teenage girls, calling her "courageous and strong, and unspeakably gorgeous", and writing that "Olivia Benson is our own special hero. She battles evil, avenges her mother, faces her demons but refuses to date them." In 2001, Entertainment Weeklys Ken Tucker criticized Benson and Stabler as "the most naive, bleeding heart molester busters in America.
Krieg describes Adam as both "one of the most creative theologians of the early twentieth century" and, due to his support for Nazism, "one of the most naive". Krieg argues that Adam played a significant role in the renewal of Catholic theology in the first half of the 20th century, but weakened Christian resistance to Hitler by stressing the perceived common ground uniting Nazism and Catholicism. Krieg identifies Adam's pessimistic evaluation of Western civilisation as the fatal flaw in his thought, which led him to seek accommodation with Nazism. Adam's theory of history, Krieg argues, was insufficiently complex and failed to consider the capacity of the church and tradition to adapt.
She is the most naive and absent-minded of the three, sometimes interpreting figures of speech literally, often thinking it was literally going dark just because something is blocking her sight, or picking up and eating foodstuff at crime scenes that is potentially harmful. In the episode "Do You Believe In Magic", it is revealed Alex is the youngest of the three girls (and Clover the oldest). Her driving ability becomes a running gag in some episodes, despite the fact that she keeps getting to take the wheel and proves to be capable of improvising dangerous car stunts. She is sensitive and sometimes gets down on herself.
She affects a studious bravado to mask her lack of confidence, but even at her most naive it is precisely her inability to resist her instincts and desires that is the foundation of her integrity. As she pieces herself together according to her own wayward nature, she is also piecing together a lost matriarchal culture. Her two longest werewolves stories, "Wolfland" and Lycanthia, follow Lee's custom of reversing the images of popular culture icons. The 20th century image of the werewolf is largely derived from Hollywood cinema; a man is involuntarily transmogrified into a crazed man-beast, which is consumed by an overwhelming desire to rend that which it loves best.
Before dying, he tells Kiba to go on and, as soon as Kiba leaves, whispers, "Let's meet again, next time, in Paradise..." before letting out a death howl. At the end of the series, Tsume is seen in his human form riding a motorcycle in a city. :Kenta Miyake felt Tsume was all about appearances and notes that Tsume always speaks in a harsh manner such as talking down to Kiba, casually dismissing Toboe, and seems to ignore Hige all together. However, he also felt that despite Tsume's seemingly tough nature, that he was the most naive of the pack and the most timid.
Maximum parsimony (MP) is a method of identifying the potential phylogenetic tree that requires the smallest total number of evolutionary events to explain the observed sequence data. Some ways of scoring trees also include a "cost" associated with particular types of evolutionary events and attempt to locate the tree with the smallest total cost. This is a useful approach in cases where not every possible type of event is equally likely - for example, when particular nucleotides or amino acids are known to be more mutable than others. The most naive way of identifying the most parsimonious tree is simple enumeration - considering each possible tree in succession and searching for the tree with the smallest score.
Binary splitting requires more memory than direct term-by-term summation, but is asymptotically faster since the sizes of all occurring subproducts are reduced. Additionally, whereas the most naive evaluation scheme for a rational series uses a full-precision division for each term in the series, binary splitting requires only one final division at the target precision; this is not only faster, but conveniently eliminates rounding errors. To take full advantage of the scheme, fast multiplication algorithms such as Toom–Cook and Schönhage–Strassen must be used; with ordinary O(n2) multiplication, binary splitting may render no speedup at all or be slower. Since all subdivisions of the series can be computed independently of each other, binary splitting lends well to parallelization and checkpointing.
A well-known case of fabricated news in Australia happened in 2009 when a report Deception Detection Across Australian Populations of a "Levitt Institute" was widely cited on news websites across the country, claiming that Sydney was the most naive city, despite the fact that the report itself contained a clue: amidst the mathematical gibberish, there was a statement: "These results were completely made up to be fictitious material through a process of modified truth and credibility nodes.""Deception Detection Deficiency", Media Watch, episode 34, September 28, 2009, ABC TV The Australian Parliament initiated investigation into "fake news" regarding issues surrounding fake news that occurred during the 2016 United States election. The inquiry looked at several major areas in Australia to find audiences most vulnerable to fake news, by considering the impact on traditional journalism, and by evaluating the liability of online advertisers and by regulating the spreading the hoaxes. This act of parliament is meant to combat the threat of social media power on spreading fake news as concluded negative results to the public.

No results under this filter, show 24 sentences.

Copyright © 2024 RandomSentenceGen.com All rights reserved.