Sentences with phrase «difficult than scaling»

Searching through all the offers from life insurance, business insurance, homeowners insurance, health insurance and auto insurance agents to find the lowest Montana insurance quotes can be more difficult than scaling Granite Peak.
Searching through all the offers from life insurance, business insurance, homeowners insurance, health insurance and auto insurance agents to find the lowest Montana insurance quotes can be more difficult than scaling Granite Peak.

Not exact matches

The bigger challenge appears to be finding enough money to reach scale, with our fintech roundtable reporting that it is more difficult to find second - round funding than it is first.
As such, I'm finding it a little difficult to do certain types of projects without a second person keeping track of the baby — projects that require deep thought for more than the couple minutes it takes for my baby to cross the room and scale the steps before I need to get up to fetch him.
[1] The question of change rather than absolute levels of immigration has rarely been addressed at a small geographic scales; this is because of changing electoral boundaries, making direct comparison difficult.
Because a U-turn of such a scale would be politically difficult I expect that instead there will be a series of minor policy adjustments over the next few months that will be sold as a change in emphasis rather than substance.
But measuring those levels on a broad scale would mean testing water in homes, which is even more difficult than the area testing.
Power - grid expert Kappenman warns that, under the right conditions, a CME could have planetary scale consequences that would take more than a couple of days to recover from, in part because damaged transformers would be difficult to replace quickly.
This sounds reasonable at first, but host galaxies are 10 billion times bigger than the central black holes; it should be difficult for two objects of such vastly different scales to directly affect each other.
CMO founders are finding that large - scale replication with fidelity, especially at the high - school level, is a lot more difficult than they thought it would be.
Teaching in a high - poverty community is a far more complex and difficult job than teaching in a more affluent community — and should be at a higher pay scale.
High Moon's Transformers games, whilst scaling far greater heights than most licensed properties in this industry (which isn't terribly difficult to be honest), have always been damned with the faint praise of solid - yet - unspectacular.
When GCMs are used to model atmospheric conditions and spatial grid size is reduced is there a scale at which chaotic conditions prevail and make modeling difficult in the same way that weather is harder to model than climate?
It's quite difficult to judge on Wikipedia plot, but Esper and Moberg reconstructions seem to have the same trends at centennial scale (even if Esper's one have globally more amplitude than all others).
Parameterisations can be quite sophisticated, but they are often difficult to test, mainly because it is often hard to tell if a parameterisation scheme is doing the right things for the right reasons.On time - scales longer than a few days, interactions between the atmosphere and the oceans become critical.
The «global - scale dispersal» of more than 50 % of sequestered carbon would make monitoring very difficult; as well ascribing ownership that would be critical for potentially allocating carbon credits;
Attribution is difficult, there are many factors other than AGW in play, ENSO and other large scale oscillations, however some studies do find that greenhouse warming was at least partially behind the drought.
Finally, while it may be possible to scale back or reverse many responses to climate change (if they somehow proved to be more stringent than actually needed), it is difficult or impossible to «undo» climate change, once manifested.
Non-climatic growth trends must be removed from the tree - ring chronology, making it difficult to resolve time - scales longer than the lengths of the constituent chronologies (Briffa, 2000).
The reasons for that are many: the timid language of scientific probabilities, which the climatologist James Hansen once called «scientific reticence» in a paper chastising scientists for editing their own observations so conscientiously that they failed to communicate how dire the threat really was; the fact that the country is dominated by a group of technocrats who believe any problem can be solved and an opposing culture that doesn't even see warming as a problem worth addressing; the way that climate denialism has made scientists even more cautious in offering speculative warnings; the simple speed of change and, also, its slowness, such that we are only seeing effects now of warming from decades past; our uncertainty about uncertainty, which the climate writer Naomi Oreskes in particular has suggested stops us from preparing as though anything worse than a median outcome were even possible; the way we assume climate change will hit hardest elsewhere, not everywhere; the smallness (two degrees) and largeness (1.8 trillion tons) and abstractness (400 parts per million) of the numbers; the discomfort of considering a problem that is very difficult, if not impossible, to solve; the altogether incomprehensible scale of that problem, which amounts to the prospect of our own annihilation; simple fear.
A guidelines - based reprehensibility scale is not substantially more difficult to apply than the determination currently made by juries, which judges subse - quently review in an hoc manner.
Before delving into the scalability issues of Bitcoin and Ethereum, it is important to acknowledge that scaling decentralized Blockchain networks is far more difficult than expanding centralized systems.
So, while developers like Andrew Miller had predicted a rise in privacy - centric ethereum applications just months ago, the conference showcased how an almost eerie silence has followed as scaling and security obstacles have proven more difficult to solve than foreseen.
Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiscales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiscales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiScales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiscales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiscales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).
A scale with a three - step scoring format was constructed based on the following questions: «Do you have anyone other than your husband / partner you can ask for advice in a difficult situation?»
a b c d e f g h i j k l m n o p q r s t u v w x y z