How to use "positive" in a sentence

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Wikipedia Best5|$|A 2003 study {{claimed the}} Stanley's {{renovation}} brought <b>positive</b> economic effects to the theatre's local area, bounded by 8th Street and 17th between Fir and Hemlock. According to the study, this are

A 2003 study claimed the Stanley's renovation brought positive economic effects to the theatre's local area, bounded by 8th Street and 17th between Fir and Hemlock. According to the study, this area became more of a leisure/recreation destination, with many new culturally related businesses, retail stores and service-related businesses opening. An increase in overall sales was noted and 76% of surveyed residents responded that the theatre's reopening had a positive effect on the community. Business respondents also reportedly had a positive view of the theatre's effects.

Wikipedia Best5|$|ed positive; judoka Shokir Muminov on November 19, 2010 and Greco-Roman wrestler Jakhongir Muminov on November 24, 2010, both from Uzbekistan, tested <b>positive</b> for methylhexanamine. On January 24, 2011, the OCA {{announced}} another two doping failures, Qatari's Ahmed Dheeb who tested <b>positive</b> for exogenous testosterone metabolites and Palestinian Awajna Abdalnasser who te

About 1,400 random doping tests were carried out during the Games. Two athletes tested positive; judoka Shokir Muminov on November 19, 2010 and Greco-Roman wrestler Jakhongir Muminov on November 24, 2010, both from Uzbekistan, tested positive for methylhexanamine. On January 24, 2011, the OCA announced another two doping failures, Qatari's Ahmed Dheeb who tested positive for exogenous testosterone metabolites and Palestinian Awajna Abdalnasser who tested positive for 19-Norandrosterone.

Wikipedia Best5|$|According to an August 2017 {{customer}} satisfaction survey, passengers had a mostly <b>positive</b> {{view of the}} NYC Ferry system, with 93% of riders giving <b>positive</b> ratings. Almost 70% of the 1,300 riders surveyed gave the

According to an August 2017 customer satisfaction survey, passengers had a mostly positive view of the NYC Ferry system, with 93% of riders giving positive ratings. Almost 70% of the 1,300 riders surveyed gave the ferry the highest possible rating.

Research30|$|Errors of S 3 {{come from}} false <b>positives</b> and false negatives. S 3 seeks to achieve higher {{performance}} than prior work by reducing false <b>positives</b> and false negativ

Errors of S 3 come from false positives and false negatives. S 3 seeks to achieve higher performance than prior work by reducing false positives and false negatives. However, to choose the optimal threshold in the trade-off of false positives and false negatives, we seek less false negatives than false positives. This is because false positives identify normal data as sensitive, and thus cause over protection, while false negatives leave sensitive data unprotected, and cause more serious consequences, e.g., data exposed to attackers. In statistics, Recall can reflect the measure of false negatives and Precision reflects false positives. Therefore we seek higher recall value than precision value in this paper.

Research30|$|To {{calculate}} {{recall and}} precision, we considered that true <b>positives</b> are instances (classes or methods) {{present in the}} code smell reference list that are also reported by the tool being assessed. Fa

To calculate recall and precision, we considered that true positives are instances (classes or methods) present in the code smell reference list that are also reported by the tool being assessed. False positives are instances that are not present in the reference list, but they were reported by the tool. False negatives are instances present in the reference list that were not reported by the tool. Finally, true negatives are instances that are not present in the reference list and were also not reported by the tool. Therefore, recall is the number of true positives divided by the number of instances in the reference list (true positives + false negatives), while precision in the number of true positives divided by the number of instances reported by the tool (true positives + false positives).

Wikipedia5000|$|... where , , [...] and [...] are {{the number}} of true <b>positives,</b> false negatives, false <b>positives</b> and true negatives respectively.

... where , , [...] and [...] are the number of true positives, false negatives, false positives and true negatives respectively.

Wikipedia Best5|$|By {{historical}} convention, a <b>positive</b> {{current is}} defined as having the same direction of flow as any <b>positive</b> charge it contains, or to flow from the most <b>pos

By historical convention, a positive current is defined as having the same direction of flow as any positive charge it contains, or to flow from the most positive part of a circuit to the most negative part. Current defined in this manner is called conventional current. The motion of negatively charged electrons around an electric circuit, one of the most familiar forms of current, is thus deemed positive in the opposite direction to that of the electrons. However, depending on the conditions, an electric current can consist of a flow of charged particles in either direction, or even in both directions at once. The positive-to-negative convention is widely used to simplify this situation.

Wikipedia Best5|$|Complex {{powers of}} <b>positive</b> reals are defined via e'x as in section Complex exponents with <b>positive</b> real bases above. These are {{continuous}} functions.

Complex powers of positive reals are defined via e'x as in section Complex exponents with positive real bases above. These are continuous functions.

Wikipedia Best5|$|Departures {{received}} generally <b>positive</b> {{reviews from}} critics. The review aggregator Rotten Tomatoes sampled 105 reviewers and judged 80% {{of them to}} be <b>positive,</b

Departures received generally positive reviews from critics. The review aggregator Rotten Tomatoes sampled 105 reviewers and judged 80% of them to be positive, with an average score of 7.1 out of 10. The aggregator Metacritic gives the film 68 out of 100, based on 27 reviews.

Research40|$|The main {{disadvantage}} of static code analysis tools {{is the high}} rates of false <b>positives</b> they produce. Users may need to manually analyze {{a large number of}} warnings, to determine if these are false or legitimate warnin

The main disadvantage of static code analysis tools is the high rates of false positives they produce. Users may need to manually analyze a large number of warnings, to determine if these are false or legitimate warnings, reducing the benefits of automatic static analysis. Our long term goal is to significantly reduce the number of false positives that these tools report. A learning system could classify the warnings into true positives and false positives by means of features extracted from the program source code. This work implements and evaluates a technique to reduce the source code producing false positives into code snippets that are simpler to analyze. Results indicate that the method considerably reduces the source code size and it is feasible to use it to characterize false positives...

Research30|$|Where TP, FP and FN are {{the true}} <b>positives,</b> false <b>positives</b> and false negatives which are {{discussed}} in Sokolova and Lapalme (2009).

Where TP, FP and FN are the true positives, false positives and false negatives which are discussed in Sokolova and Lapalme (2009).

Research3000|$|Mutual {{membership}} checks provide {{detection of}} false <b>positives</b> in the bloom filters of DIAS. Only if multiple false <b>positives</b> occur between [...]...

Mutual membership checks provide detection of false positives in the bloom filters of DIAS. Only if multiple false positives occur between [...]...

Wikipedia Best5|$|ild. Other inspirations include the concept of thought-photographs, and common fears associated with dentist chairs. The episode received a generally <b>positive</b> reception, though critics criticized the plotline featuring Scully being kidnapped. Critical attention also expressed a <b>positive</b> opinion of how scary the episode was in nature. Guest actor Taylor Vince received <b>positive</b> revi

Gilligan wrote the episode after being inspired by stories of serial killers he read as a child. Other inspirations include the concept of thought-photographs, and common fears associated with dentist chairs. The episode received a generally positive reception, though critics criticized the plotline featuring Scully being kidnapped. Critical attention also expressed a positive opinion of how scary the episode was in nature. Guest actor Taylor Vince received positive reviews as the episode's antagonist.

Wikipedia Best5|$|On July 6, 2007, Pérez was {{suspended}} 25 games by MLB {{for a second}} <b>positive</b> test for amphetamines; on August 3 he {{was suspended}} an additional 80 games for a third <b>positive</b> test. On October 31, 2007,

On July 6, 2007, Pérez was suspended 25 games by MLB for a second positive test for amphetamines; on August 3 he was suspended an additional 80 games for a third positive test. On October 31, 2007, Pérez filed for free agency, ending his association with Detroit.

Wikipedia Best5|$|Released in the United States and United Kingdom on August 18, 2006, {{the film}} {{received}} mixed to <b>positive</b> reviews with 68% of reviews <b>positive</b> {{and an average}} normalized score of 58%, according to the review aggregation websites R

Released in the United States and United Kingdom on August 18, 2006, the film received mixed to positive reviews with 68% of reviews positive and an average normalized score of 58%, according to the review aggregation websites Rotten Tomatoes and Metacritic, respectively.

Wikipedia50|$|Typical {{alarm systems}} are {{designed}} to not miss true <b>positives</b> (real crime events) and to have as low of a false alarm rate as possible. In that regard, burglar alarms miss very few true <b>positi

Typical alarm systems are designed to not miss true positives (real crime events) and to have as low of a false alarm rate as possible. In that regard, burglar alarms miss very few true positives but have a very high false alarm rate even in the controlled indoor environment. Motion detecting cameras miss some true positives but are plagued with overwhelming false alarms in an outdoor environment. Rule-based analytics reliably detect most true positives and have a low rate of false positives but cannot perform in active environments, only in empty ones. Also they are limited to the simple discrimination of whether an intruder is present or not.

Wikipedia5000|$|... where [...] is {{the number}} of true <b>positives,</b> [...] {{is the number}} of false <b>positives,</b> and [...] {{is the number of}} false negatives.

... where [...] is the number of true positives, [...] is the number of false positives, and [...] is the number of false negatives.

Research30|$|Here, tp is {{the number}} of true <b>positives</b> (foreground), fp {{is the number}} of false <b>positives,</b> and fn {{is the number of}} false negatives.

Here, tp is the number of true positives (foreground), fp is the number of false positives, and fn is the number of false negatives.

Wikipedia Best5|$|Reviews for Love in Motion {{were mostly}} <b>positive.</b>

Reviews for Love in Motion were mostly positive.

Wikipedia Best5|$|Schizophrenia {{is often}} {{described}} in terms of <b>positive</b> and negative (or deficit) symptoms. <b>Positive</b> symptoms are those that most individuals do not normally experience, but are prese

Schizophrenia is often described in terms of positive and negative (or deficit) symptoms. Positive symptoms are those that most individuals do not normally experience, but are present in people with schizophrenia. They can include delusions, disordered thoughts and speech, and tactile, auditory, visual, olfactory and gustatory hallucinations, typically regarded as manifestations of psychosis. Hallucinations are also typically related to the content of the delusional theme. Positive symptoms generally respond well to medication.

Wikipedia Best5|$|Tales of Xillias {{reception}} in Japan was highly <b>positive.</b> At {{the time of}} its release, it was the most preordered Tales game in the series and sold half a million copies in a week; the gam

Tales of Xillias reception in Japan was highly positive. At the time of its release, it was the most preordered Tales game in the series and sold half a million copies in a week; the game also won awards from Sony and Famitsu. The English localization received positive reception for its battle system, neutral to positive reviews for its plot and characters, and criticism for the map designs. The sequel, Tales of Xillia 2, was released in November 2012 in Japan and in August 2014 in North America and PAL region.

Research40|$|<b>Positives</b> For <b>Positives</b> is {{published}} quarterly. Due {{to the rapid}} evolution of HIV treatment and knowledge all medical treatment

Positives For Positives is published quarterly. Due to the rapid evolution of HIV treatment and knowledge all medical treatment should be discussed with your personal physician. Medical and scientific information is published for information purposes only. Any individual’s association with Positives For Positives or mention of an individual’s name or an individual’s photo appearing in this publication should not be, and is not an indication of that person’s health status. The views and opinions expressed herein are those of the individual author...

Research40|$|rdispersed Poisson, negative binomial, ordinal logistic, and ordinal probit regressions. Simulation reveals the extent that each model produces false <b>positives.</b> Results suggest that, despite methodological expectations, OLS regression does not produce more false <b>positives</b> than expected by chance. The Tobit and Poisson models yield too many false <b>positives.</b> The negative binomial models produce fewer than expected false <b>positives...</b>

The present study compares eight models for analyzing count data: ordinary least squares (OLS), OLS with a transformed dependent variable, Tobit, Poisson, overdispersed Poisson, negative binomial, ordinal logistic, and ordinal probit regressions. Simulation reveals the extent that each model produces false positives. Results suggest that, despite methodological expectations, OLS regression does not produce more false positives than expected by chance. The Tobit and Poisson models yield too many false positives. The negative binomial models produce fewer than expected false positives...

Wikipedia50|$|These numbers {{can then}} be totaled, {{yielding}} both a grand total and marginal totals. Totaling the entire table, the number of true <b>positives,</b> false negatives, true negatives, and false <b>positives</b> add up to 100% of the set. Totaling the rows (adding horizontally) the n

These numbers can then be totaled, yielding both a grand total and marginal totals. Totaling the entire table, the number of true positives, false negatives, true negatives, and false positives add up to 100% of the set. Totaling the rows (adding horizontally) the number of true positives and false positives add up to 100% of the test positives, and likewise for negatives. Totaling the columns (adding vertically), the number of true positives and false negatives add up to 100% of the condition positives (conversely for negatives). The basic marginal ratio statistics are obtained by dividing the 2×2=4 values in the table by the marginal totals (either rows or columns), yielding 2 auxiliary 2×2 tables, for a total of 8 ratios. These ratios come in 4 complementary pairs, each pair summing to 1, and so each of these derived 2×2 tables can be summarized as a pair of 2 numbers, together with their complements. Further statistics can be obtained by taking ratios of these ratios, ratios of ratios, or more complicated functions.

Wikipedia Best5|$|The {{athlete who}} {{finished}} in second place, Lyudmila Blonska of the Ukraine, tested <b>positive</b> for a banned substance. Both the A and the B tests were <b>positive,</b> therefore Blonska {{was stripped of}} her silver medal, and b

The athlete who finished in second place, Lyudmila Blonska of the Ukraine, tested positive for a banned substance. Both the A and the B tests were positive, therefore Blonska was stripped of her silver medal, and both British heptathletes moved up a position.

Wikipedia Best5|$|The episode {{received}} <b>positive</b> {{reviews from}} critics.

The episode received positive reviews from critics.

Wikipedia Best5|$|The {{episode was}} met with {{generally}} <b>positive</b> reviews.

The episode was met with generally positive reviews.

Wikipedia50|$|Lift is {{analogous}} to information retrieval's average precision metric, if one treats the precision (fraction of the <b>positives</b> that are true <b>positives)</b> as the target response probability.

Lift is analogous to information retrieval's average precision metric, if one treats the precision (fraction of the positives that are true positives) as the target response probability.

Wikipedia5000|$|... cpplint.py {{suffers from}} both false <b>positives</b> and false negatives.False <b>positives</b> can be {{eliminated}} by tagging lines with [...] (or [...] to suppress only the incrimina

... cpplint.py suffers from both false positives and false negatives.False positives can be eliminated by tagging lines with [...] (or [...] to suppress only the incriminated [...] category).

Research30|$|Experimental {{evaluation}} {{illustrates the}} high accuracy and matching achieved {{even in the}} case of false <b>positives</b> in bloom filters. Tolerance to false <b>positives</b> provides large data space savings. Accuracy is maintained even if the size of b

Experimental evaluation illustrates the high accuracy and matching achieved even in the case of false positives in bloom filters. Tolerance to false positives provides large data space savings. Accuracy is maintained even if the size of bloom filters decreases significantly, resulting in a high number of detected false positives. A future extension is the dynamic and automated allocation of larger space in the bloom filters based on accuracy requirements under false positives. Alternative approaches to bloom filters are also considered in future work, e.g., hash compaction (Dillinger and Manolios 2004).

Wikipedia Best5|$|The film {{received}} generally <b>positive</b> reviews. The review aggregator website Rotten Tomatoes {{reported that}} 64% of 69 listed film critics gave the film a <b>positive</b>

The film received generally positive reviews. The review aggregator website Rotten Tomatoes reported that 64% of 69 listed film critics gave the film a positive review, with an average rating of 6.1 out of 10.

Wikipedia Best5|$|The film {{received}} <b>positive</b> {{reviews from}} critics.

The film received positive reviews from critics.

Wikipedia Best5|$|The {{prosperity}} theology {{teaching of}} <b>positive</b> confession stems from its proponents' view of scripture. The Bible {{is seen as}} a faith contract between God and believers; God is u

The prosperity theology teaching of positive confession stems from its proponents' view of scripture. The Bible is seen as a faith contract between God and believers; God is understood to be faithful and just, so believers must fulfill their end of the contract to receive God's promises. This leads to a belief in positive confession, the doctrine that believers may claim whatever they desire from God, simply by speaking it. Prosperity theology teaches that the Bible has promised prosperity for believers, so positive confession means that believers are speaking in faith what God has already spoken about them. Positive confession is practiced to bring about what is already believed in; faith itself is a confession, and speaking it brings it into reality.

Research30|$|During the {{retrospective}} visual {{investigation of the}} false <b>positives,</b> the appearance of unilateral and bilateral false <b>positives</b> in the CNN outputs (Table  2, Figs.  2 and 3) was linked with the

During the retrospective visual investigation of the false positives, the appearance of unilateral and bilateral false positives in the CNN outputs (Table  2, Figs.  2 and 3) was linked with the age-related periventricular white matter hypoattenuation (see Fig.  3 b, c). Cortical false positives were related to the widening of the cortical sulci due to cortical atrophy (see Fig.  3 d). As a consequence, most of the false positives were located in the periventricular white matter and near to cortical cerebrospinal fluid spaces, to be associated with the normal aging effects on the brain.

Research30|$|Agglomerations help {{developers}} to avoid false <b>positives.</b> In general, developers identified less false <b>positives</b> {{when they used}} agglomerations (9 FP design problems) than when the

Agglomerations help developers to avoid false positives. In general, developers identified less false positives when they used agglomerations (9 FP design problems) than when they used the list of code smells (21 FP design problems). As presented in our qualitative analysis (“How to improve design problem identification?” section), with the exception of participant 11, who analyzed several irrelevant agglomerations—i.e., agglomerations that do not reveal any design problem—all others identified either less or equal number of false positives when they were in the agglomeration group than when they were in the control group. When we analyze the control group, we can notice that more than half of the identified design problems are false positives (61.76 %) while the agglomeration group identified only 36 % of false positives.

Research30|$| present {{the best and}} the worst results {{obtained}} with the stereo camera according to the precision. The precision indeed defines the ratio of <b>positives</b> correctly predicted among all the expected <b>positives.</b> As in our study <b>positives</b> are the dangers, the better they are correctly predicted, the better the detector

To oppose the RGBD camera to stereo, we present the best and the worst results obtained with the stereo camera according to the precision. The precision indeed defines the ratio of positives correctly predicted among all the expected positives. As in our study positives are the dangers, the better they are correctly predicted, the better the detector is in terms of user requirements.