Sentences with phrase «uses weak data»

The documentary largely appeals to the heart, as it uses weak data and a faulty premise.

If you find that the studies that have high upper bounds either only use some weak data and don't use some important information or use a prior that is rather pathological.

Not exact matches

Many users still conceal some of their most valuable data behind the shockingly weak combination of a username and password, with over half of users openly admitting they use the same password for all of their logins.

He pointed out that the estrogen fiasco was a foreseeable result of using weak epidemiological data to make sweeping pronouncements.

Using data provided by T - Mobile, Aart Overeem of the Royal Netherlands Meteorological Institute in De Bilt and his team came up with an algorithm that measures the difference between the expected signal strength and weaker signals received when raindrops interfered.

Using the techniques of strong and weak gravitational lensing on archival data obtained from the Hubble Space Telescope, we determine that the average mass overdensity profile of the lenses can be fit wi... ▽ More We measure the average mass properties of a sample of 41 strong gravitational lenses at moderate redshift (z ~ 0.4 - 0.9), and present the lens redshift for 6 of these galaxies for the first time.

Furthermore, her research on evaluating oversight through a multi-criteria analytical approach indicates that the US system has strengths in its use of natural science data, but is weak in transparency in operation, inclusivity of a broad range of stakeholders and perspectives, and capacity of regulatory agencies to dealing with changing environments and technologies.

Taking models of galaxies from the Hubble Space Telescope Ultra Deep Field (HUDF) and applying a correction for the HUDF point spread function we generate lensed simulations of deep, opti... ▽ More We present a simulation analysis of weak gravitational lensing flexion and shear measurement using shapelet decomposition, and identify differences between flexion and shear measurement noise in deep survey data.

Abstract: We present a simulation analysis of weak gravitational lensing flexion and shear measurement using shapelet decomposition, and identify differences between flexion and shear measurement noise in deep survey data.

Ofsted data from 84 schools inspected about online safety in 2015 and self - review data from 7,000 schools using 360 Degree Safe has found that while schools are on the whole very strong when it comes to e-safety policies and filtering, they are weaker on staff and governor training, pupil involvement and evaluating impact of e-safety policies and practice.

Understand that using the line of best fit to predict results outside the given data range is unreliable, as is using the line of best fit to predict results inside the data range if the correlation is weak.

The school has stepped up its focus on using data to pinpoint students» weak points and to adjust instruction.

Using data captured by that state's intensive teacher evaluation protocol, researchers identified teachers who were weak in one (or more) of a constellation of assessed characteristics, and then matched them with teachers who were strong in corresponding areas.

Ofsted data from 84 schools inspected about online safety in 2015 and self - review data from 7,000 schools using 360 Degree Safe has found that while schools are on the whole very strong when it comes to online safety policies and filtering, they are weaker on staff and governor training, pupil involvement and evaluating impact of online safety policies and practice.

Given this weak statistical evidence of positive relationships between student achievement and district or school data use (as reflected in the principal and teacher survey items), we turned to our qualitative data, which provided the following insights:

Illinois, on the other hand, uses student and teacher data from the 5Essentials Survey to differentiate schools.65 A 10 - year Chicago study found that schools that were strong in at least three of the five survey elements — which include effective leaders, collaborative teachers, supportive environment, involved families, and ambitious instruction — were significantly more likely to improve student learning than schools that were weaker in these domains.66

These weaker findings for actual outcome measures help to highlight both the strengths and weaknesses of using teacher survey data for understanding outcomes of policy interest.

Policymakers eager to close weak programs advocate for using data to examine and judge the quality of teacher preparation.

The wifi is a bit weak and we prefered to use our mobile data.

I thought that maybe if I played some VR Missions — which you unlock by discovering data cases strewn about the linear path to completion and only serve as a weak attempt at adding exploration — that I could hone my skills, get used to the awful parry system, and have a less frustrating time.

Finally, there is no good reason to widen the range, even though some studies have pointed to the possibility of higher climate sensitivity — but as we have discussed here, they did not provide positive evidence for a higher climate sensitivity, they merely showed that the data constraints used were weak.

Rather, I recommend that they --- you --- become aware (to the best of your technical ability) of how these methods work, so you can use them in cases where they are most appropriate (these situations would include forecasting, multilevel modeling, inference for complex models with many parameters, and settings with weak data).

I entirely share Nurse's disdain for the use of «scientific arguments that on the whole are rather weak and unconvincing, and nearly always involve the cherry - picking of data»: indeed, at Climate Audit, criticism of, for example, repetitive use of Graybill's strip bark bristlecone chronologies, ex post screening and use of contaminated upside - down Tiljander sediments, have been longstanding themes.

But what in fact appears to happen is that the concerns at least of some of those worried about these types of actions, have led them to try and convince society by attacking the science of the majority of climate scientists and to use scientific arguments that on the whole are rather weak and unconvincing, and nearly always involve the cherry - picking of data.

And the shape of the Libardoni and Forest 2011 marginal posterior climate sensitivity PDFs are very similar to that of the «expert» prior used, indicating weak inference from the data.

When one uses the new data to estimate the level of CO2 released for all of Indonesia in 2006 — a year with a weak El Nino, in which rainfall was relatively low — one comes up with a figure of up to 900 million tons.

Over the same period, a very weak trend of only +0.90 % in open ocean chlorophyll a was found using a maximum of 530,579 data points per year but this trend is not considered statistically significant.

Our model is fitted using annual data obtained for the period 1976 — 2013, which includes the very weak solar minimum during 2008 — 2010.

I thought the article was rather dense, and seemed to argue that scientists had not rigorously kept records of their data and had also used weak statistical methods.

«scientists had not rigorously kept records of their data and had also used weak statistical methods» He's complaining that they didn't archive records (on time) according to a protocol that he favors (and seems to have invented).

Using the wrong data from the airport makes the warming much weaker than the real data tells — even after the UHI - adjustments are made.

If EPA wants to pursue the regulation of GHGs despite the weak scientific basis for it, there is an evident need for a whole new approach based on truly independent and careful review of the problem using the highest standards of scientific intergrity which does not rely on what appears to be biased research and sloppy data from CRU et al..

In a recent survey of 500 information technology and data security workers, 40 percent said they could easily use their knowledge of encryption keys, shared passwords, weak controls and loopholes in data security programs to make off with information, or hold their organization's data hostage.

In addition to this, it stored sensitive information like Windows logon credentials and fingerprint data which were «encrypted using a weak algorithm.»

Data encryption on iOS is tied to your passcode, so make sure you pick a number that is hard to guess and that you use a stronger 6 - digit passcode versus a weaker 4 - digit one.

«Sensitive data stored by Lenovo Fingerprint Manager Pro, including users» Windows logon credentials and fingerprint data, is encrypted using a weak algorithm, contains a hard - coded password, and is accessible to all users with local non-administrative access to the system it is installed in,» the report read.

Again, for folks that may have a weak Wi - Fi signal at home, you actually be using cellular data if you had Wi - Fi assist enabled.

An overwhelming amount of people find many of the above processes (two - factor authentication, for example) unnecessary or obtrusive — just a few of the reasons why they tend to secure their data and personal information using nothing more than a weak password.

Sensitive data stored by Lenovo Fingerprint Manager Pro, including users» Windows logon credentials and fingerprint data, is encrypted using a weak algorithm, contains a hard - coded password, and is accessible to all users with local non-administrative access to the system it is installed in.»

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 impulsivity).

Using CSI data from 876 pediatric patients with chronic abdominal pain, we identified 11 statistically weak CSI items in a randomly selected learning sample.